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Professor Thomas G. Dietterich, School of EECS, Oregon State University.
Wednesday 01 April 2026, 13:30-14:30
jjd50's list
A personal list of talks.
Contact: John Dudley
0 upcoming talks View 2879 archived talks
Information Engineering Distinguished Lecture Series
Reinforcement Learning with Exogenous States and Rewards
Robotics Seminar Series
Compositional Design of Society-Critical Systems: From Autonomy to Future Mobility
Computational Neuroscience
Hippocampal neuronal activity is aligned with action plans
Machine Learning Reading Group @ CUED
From Stochastic Interpolants to Flow Maps: Foundations, Fast Generation, and Applications to Weather & Climate Modeling
Machine Learning Reading Group @ CUED
Evolution Strategies at the Hyperscale
Machine Learning Reading Group @ CUED
Evolution Strategies at the Hyperscale
CUED Control Group Seminars
Toward Scalable Neuromorphic Control: From Conductance Modelling to Hierarchical Event-Based Architectures
Machine Learning Reading Group @ CUED
Machine Learning on Tabular Data
Machine Learning Reading Group @ CUED
Rethinking aleatoric and epistemic uncertainty
CUED Speech Group Seminars
Using AI to Teach Te Reo MΔori Phonemes
CUED Control Group Seminars
The brain as a changing operating environment
Computational Neuroscience
Multiplexed representations of decision content and uncertainty in visual processin
CUED Control Group Seminars
Control of Lumped-Distributed Control Systems
Computational Neuroscience
Compositional Generalization and Learning
Computer Vision Seminars
Cross-Species 3D Animal Model-Based Reconstruction
Computational Neuroscience
Mind-body dualism: A perceptual core
Computational Neuroscience
Infinite Hidden Semi-Markov Models
Computational Neuroscience
Frugal computation
Machine Learning Reading Group @ CUED
How does gradient descent work?
Computational Neuroscience
Tiny & Gigantic Neural Networks
CUED Control Group Seminars
Control and Adaptation Under Latent Risk and Nonstationary Interactions
Machine Learning Reading Group @ CUED
Variational Inference: An Algorithm-Centric Perspective
Machine Learning Reading Group @ CUED
Neural Operators for Scientific Simulation
Computational Neuroscience
Lazy-rich learning
Computational Neuroscience
Lazy-rich learning
Computational Neuroscience
Neural basis of decision making
Probabilistic Systems, Information, and Inference Group Seminars
Statistical Investigations into the Unseen: Missing Mass for Markov Samples and Natural Distribution Estimation
Engineering - Dynamics and Vibration Tea Time Talks
Leveraging Inductive Bias for Physically Consistent Machine Learning: Applications in Engineered Systems
Probabilistic Systems, Information, and Inference Group Seminars
Variational Inference for LΓ©vy Process-Driven SDEs via Neural Tilting
Machine Learning Reading Group @ CUED
A Tutorial on Algorithmic Information Theory in Modern ML
Computational Neuroscience
From Data to Models to Understanding: Evaluating Neural Latents and Finding Decision Boundaries in Recurrent Neural Networks (RNNs)
Machine Learning Reading Group @ CUED
Diffusion Language Models
Machine Learning Reading Group @ CUED
An Introduction to Stochastic Interpolants
Computational Neuroscience
Thalamocortical Interactions for Flexible Cognition
CUED Speech Group Seminars
Reducing Speaker and Temporal Redundancy in Discrete Speech Tokenization
CUED Control Group Seminars
Data as models? A closer look at data-driven control systems
Computational Neuroscience
Cerebellum Computation
Probabilistic Systems, Information, and Inference Group Seminars
Inequalities Revisited
Computational Neuroscience
The Fruit Fly Connectome and Beyond
Cambridge Statistics Clinic
Statistics Clinic Summer 2025 II
Probabilistic Systems, Information, and Inference Group Seminars
Towards Physical AI: Time-Series Prediction for Intent-Aware Robot Learning
CUED Control Group Seminars
Structure, Kinetics, and the Identification of Integrated Control in Neuronal Excitability
Machine Learning Reading Group @ CUED
The structure of curvature in neural networks
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Multitasking and compositionality in brain and in neural networks
CUED Control Group Seminars
Probabilistically Robust Decision Making for Uncertain Dynamical Systems
Machine Learning Reading Group @ CUED
Variational Uncertainty Decomposition for In-Context Learning
Machine Learning Reading Group @ CUED
Variational Uncertainty Decomposition for In-Context Learning
Machine Learning Reading Group @ CUED
Vision-language models (VLMs)
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
Vision-language models (VLMs)
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Probabilistic Systems, Information, and Inference Group Seminars
Latent Concepts in Large Language Models
Computational Neuroscience
Context, Computation, and Continuity: Neural Mechanisms of Memory and Decision-Making
Computational Neuroscience
Context, Computation, and Continuity: Neural Mechanisms of Memory and Decision-Making
Computational Neuroscience
Discovering reward-guided learning strategies from large-scale datasets
CUED Control Group Seminars
Understanding the drivers of antimicrobial resistance evolution
Machine Learning Reading Group @ CUED
Conditional Expectation and Machine Learning
Computational Neuroscience
Dendrites, Synaptic Plasticity and Hippocampal Place Fieldsβ
Information Engineering Distinguished Lecture Series
What If We Succeed?
CUED Control Group Seminars
Engineering Genetic Controllers to Accelerate Adaptation and Attenuate Cellular Noise
Cambridge Ellis Unit
A Mixture-based framework for guiding Diffusion models
Machine Learning Reading Group @ CUED
Evaluating and Regulating Foundation Models
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Connectome-based Echo State Networks
CUED Control Group Seminars
Instrumentation and Iteration in Massively Online Live Service Gaming
Computational Neuroscience
Quantifying individuality in neural circuit representations
Probabilistic Systems, Information, and Inference Group Seminars
Causal Representation Learning
CUED Control Group Seminars
Krasovskii Passivity Based Approaches to Control Design of Power Systems
Computational Neuroscience
The successor representation, its neural substrate, and behavioural consequences.
CUED Control Group Seminars
Biologically Inspired Soft Robotics
CUED Control Group Seminars
Some topics at the intersection of control, dynamics, and learning.
Probabilistic Systems, Information, and Inference Group Seminars
Robust nonnegative matrix factorization with the beta-divergence and applications in imaging
Probabilistic Systems, Information, and Inference Group Seminars
Robust nonnegative matrix factorization with the beta-divergence and applications in imaging
Computational Neuroscience
In-Context Learning
Machine Learning Reading Group @ CUED
Out-of-context reasoning/learning in LLMs and its safety implications
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
Learning to See the World in 3D
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
CUED Control Group Seminars
Participation of Energy Storage in Electricity Markets: Strategic Withholding Behaviors and Equilibrium
CUED Control Group Seminars
Stochastic Algorithms for Nonconvex Optimization
Information Engineering Distinguished Lecture Series
From Diffusion Models to SchrΓΆdinger Bridges
Machine Learning Reading Group @ CUED
An Introduction to In-Context Learning
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
CUED Control Group Seminars
Biological design with machine learning and limited data.
Machine Learning Reading Group @ CUED
ML for Medium-Range Weather Forecasting
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Integrating Random Memory Patterns and Spatial Maps in Food-Caching Birds
CUED Control Group Seminars
Delivering Fusion Power: the challenges of control in a First of a Kind Power Plant
Robotics Seminar Series
Learning to Interact in Real-World Multiagent Systems
Machine Learning Reading Group @ CUED
Influence Functions
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
The Continual Learning (CL) Theory
Machine Learning Reading Group @ CUED
Sampling with diffusion models
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Probabilistic Systems, Information, and Inference Group Seminars
Can kernel machines be a viable alternative to deep neural networks?
CUED Control Group Seminars
The thresholds of an excitable system
Machine Learning Reading Group @ CUED
Geometric Deep Learning for Structure-Based Drug Design
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Hopfield Networks: From Neuroscience to Machine Learning and Back
Cambridge Ellis Unit
Machine Learning is Linear Algebra
Computational Neuroscience
Certain about uncertainty? Latent representations of VAEs optimized for visual tasks.
Machine Learning Reading Group @ CUED
Diffusion Models Beyond Mean Prediction
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Neural circuit reorganisation and functional resilience
Computational Neuroscience
Inverse normative modeling of continuous perception and action
Probabilistic Systems, Information, and Inference Group Seminars
Time-varying Signal Estimation Using Dynamic Topological Graphs
CUED Control Group Seminars
Low-power embedded event-based vision processing for low-latency robotics
Machine Learning Reading Group @ CUED
Unpacking UKβs New AI Action Plan: Ambition versus Reality
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
An Introduction to Algorithmic Differentiation
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
An Introduction to Algorithmic Differentiation
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Robotics Seminar Series
The Motion and Teaming Lab's Work On Multi-Robot Algorithms for Communication Challenging Scenarios
Machine Learning Reading Group @ CUED
Foundation Models in Robotics
Computational Neuroscience
Data-driven models of neural and behavioural learning
Computational Neuroscience
Evaluating dynamical systems hypotheses for pattern generation in motor cortex
Computational Neuroscience
Modelling C. elegans pharynx
CUED Control Group Seminars
Computation-aware set-based analysis and control
Machine Learning Reading Group @ CUED
Learning curve prediction for AutoML
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
Learning curve prediction for AutoML
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Relating the diversity of firing rates to the dimension of variability in recurrent networks
CUED Control Group Seminars
Building Life-like Robots: From Musculoskeletal Designs to Biohybrid Innovations
CUED Control Group Seminars
Negative imaginary systems theory: An introduction
Machine Learning Reading Group @ CUED
An Elementary Introduction to Sequential Monte Carlo Samplers
Computational Neuroscience
State space models (as alternatives to Transformers)
CUED Control Group Seminars
Predicting antibiotic resistance evolution
Machine Learning Reading Group @ CUED
Scalable Sampling Using Annealed Algorithms
Cambridge Ellis Unit
Generative models as efficient surrogates for molecular dynamics simulations
CUED Control Group Seminars
From Holonic Systems to Human-Integrated Systems
Machine Learning Reading Group @ CUED
Are we making progress in unlearning?Β
Computational Neuroscience
Geometry of neural representations
CUED Speech Group Seminars
Vector Quantization in Deep Neural Networks for Speech and Image Processing
Probabilistic Systems, Information, and Inference Group Seminars
A State-Space Perspective on Modelling and Inference for Online Skill Rating
CUED Control Group Seminars
Adaptive closed loop control: from reflexes to planning
Machine Learning Reading Group @ CUED
Natural Experiments in NLP and Where to Find Them
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
CUED Control Group Seminars
Iterative Learning Control --- Past, Present, and Future
Information Engineering Distinguished Lecture Series
Lippmann Photography: The Art and Science of Multispectral Imagery
Machine Learning Reading Group @ CUED
Linear Attention for Efficient Transformers
Computational Neuroscience
Sensory prediction errors in thalamocortical circuits
The Wheeler Lectures in Computer Science
Wheeler Lecture 2024: Supercharging the Human Mind With AI
CUED Speech Group Seminars
SummaryMixing: A Linear-Time Attention Alternative
CUED Control Group Seminars
Complex Robotic Systems: Modeling, Control, and Planning using Dual Quaternion Algebra
Computational Neuroscience
Geometry of population coding in large and transcriptomically-identified cortical populations
Cambridge Ellis Unit
Efficient protein flow models with optimal transport flow matching
Probabilistic Systems, Information, and Inference Group Seminars
Different Target Prediction Algorithms for Automotive, HRI and VR Digital Twin
CUED Speech Group Seminars
Controlling and Muting Whisper: Universal Acoustic Adversarial Attacks on Speech Foundation Models
CUED Speech Group Seminars
Towards Improving End-to-End Neural Diarization
Cambridge Ellis Unit
The Cambridge ELLIS Unit Seminar Series - Gabriel Synnaeve
Robotics Seminar Series
Reinforcement Learning and Learning-guided Search for Generalizability for Multi-agent Mobility Systems
Robotics Seminar Series
Reinforcement Learning and Learning-guided Search for Generalizability for Multi-agent Mobility Systems
Machine Learning Reading Group @ CUED
Task Alignment
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
CUED Speech Group Seminars
Towards understanding the performance of individuals within automatic speaker recognition systems
Computational Neuroscience
Causal inference during motion perception, and its neural basis
Machine Learning and Machine Intelligence MPhil List
MPhil in Machine Learning and Machine Intelligence Research Review
Machine Learning and Machine Intelligence MPhil List
MPhil in Machine Learning and Machine Intelligence Research Review
Computational Neuroscience
Learning Bayesian inference models of cortical visual processing
Cambridge Ellis Unit
Microsoft AI&Pizza event- 13 June 2024
CUED Control Group Seminars
Measuring the timing and noise of bacteriophage infection steps
CUED Control Group Seminars
Measuring the timing and noise of bacteriophage infection steps
CUED Control Group Seminars
Measuring the timing and noise of bacteriophage infection steps
Machine Learning @ CUED
Application of the optimal transport Gromov-Wasserstein problem to manifold learning and graph analysis
Machine Learning @ CUED
Application of the optimal transport Gromov-Wasserstein problem to manifold learning and graph analysis
Machine Learning @ CUED
Application of the optimal transport Gromov-Wasserstein problem to manifold learning and graph analysis
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Fit for purpose: the right model for the right robotic task
Machine Learning Reading Group @ CUED
A Light Introduction to Topological Data Analysis
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Circuit for memory-based action selection
CUED Control Group Seminars
Nonlinear motion control
Computational Neuroscience
Integrated Spin model with global inhibition for decision making
Probabilistic Systems, Information, and Inference Group Seminars
Quickest Change Detection Using Mismatched CUSUM
CUED Speech Group Seminars
Effect of room acoustics on speech intelligibility under noise between native and non-native listeners
Computational Neuroscience
Unifying the mechanisms of the hippocampal and prefrontal cognitive maps
Information Engineering Distinguished Lecture Series
When will we have intelligent robots?
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Mean Field Theory of NNs
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk
Cambridge Ellis Unit
Microsoft Cambridge AI Pizza Event on 25th April
Cambridge Ellis Seminar series β Prof Po-Ling Loh β 25 Apr 2024 @ 15:00
Differentially private M-estimation via noisy optimization
Machine Learning Reading Group @ CUED
Discussing the Stanford AI Report
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
Discussing the Stanford AI Report
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
CUED Speech Group Seminars
Parameter-Efficient Fine-tuning for Audio and Speech Processing
Machine Learning Reading Group @ CUED
AI Control
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
Neural likelihood-free inference
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Neurotransmitter receptor gradients: gateways for subcortical routing of cortex-wide dynamics during cognition
CUED Speech Group Seminars
Speaker Retrieval in the Wild: Challenges, Effectiveness and Robustness
CUED Control Group Seminars
Examples of "control" in research and teaching at Physics
Machine Learning Reading Group @ CUED
An Introduction to the Conjugate Gradient Method
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Behavioral, Neuropsychological, and Computational Perspectives on Sensorimotor Learning
Computational Neuroscience
Behavioral, Neuropsychological, and Computational Perspectives on Sensorimotor Learning
CUED Control Group Seminars
Learning to Predict and to Act - Exploring Structure in World Models and Latent Spaces
CUED Control Group Seminars
Control of Uncertainty or Control with Uncertainty? A New Control Design Paradigm for Autonomous Stochastic Systems
Cambridge Ellis Unit
Cambridge ELLIS seminar series β Dr Rika Antonova β 29 Feb 2024 β 2pm
Machine Learning Reading Group @ CUED
An Introduction to Transformer Neural Processes
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Title to be confirmed
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Consistent Validation for Predictive Methods in Spatial Settings
CUED Control Group Seminars
Neuromorphic sensing and computing in todayβs AI landscape
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Learning Symmetries in Neural Networks
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
CUED Speech Group Seminars
End-to-end contextual speech recognition with Tree-constrained pointer generator
CUED Control Group Seminars
Accommodating magnitude and rate-limits in model reference adaptive control systems
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
GenCast: Diffusion-based ensemble forecasting for medium-range weather (or: How to ruin a numerical weather forecasterβs Christmas)
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
Bayesian coresets
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
CUED Speech Group Seminars
βEnd-to-end multi-speaker neural TTS with LLM-based prosody predictionβ
Cambridge Ellis Unit
Cambridge ELLIS seminar series β Dr Tian Xie β 23 Jan 2024 β 2pm
CUED Control Group Seminars
AI Engineering as Design Engineering: Creating User-Centric AI Systems
CUED Control Group Seminars
Data informativity: a new perspective on data-driven analysis and control
CUED Control Group Seminars
Sense, Think, Act: Decision and Control, from Biology to Technology
CUED Speech Group Seminars
The applications of discrete speech tokens for robust and context-aware text-to-speech synthesis
CUED Control Group Seminars
Sound Control Synthesis with Logics and Data
CUED Control Group Seminars
New Innovative Idea on Bio Medical Research
Machine Learning Reading Group @ CUED
Flow matching, stochastic interpolants and everything in between
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Cambridge Ellis Unit
Cambridge ELLIS Seminar Series- Prof. Gustau Camps-Valls- 28 Nov 2023- 13:30
Cambridge Ellis Unit
Cambridge ELLIS Seminar Series- Prof. Gustau Camps-Valls- 28 Nov 2023- 13:30
Machine Learning @ CUED
Modern Bayesian Experimental Design
CUED Control Group Seminars
Buckling instabilities in chaining bacterial colonies
Machine Learning Reading Group @ CUED
Challenges of Regulating Increasingly Complicated Human-AI Collaborative Systems
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
CUED Control Group Seminars
Exploiting Structure for Scalable Design and Verification of Complex Systems
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Passivity-based control of underactuated surgical robots
Machine Learning Reading Group @ CUED
A Poisson Process Model for Monte Carlo
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Information Engineering Distinguished Lecture Series
Cybergenetics: Theory and Implementation of genetic control systems
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
Questioning Ideas in Uncertainty Estimation in Deep Learning
CUED Control Group Seminars
Distributed Control, Estimation and Optimization in Multi-agent Systems
CUED Control Group Seminars
Modelling and analysis of electrical circuits with memristors for neuromorphic computing applications
Machine Learning Reading Group @ CUED
Learning Directed Acyclic Graphs (DAGs) With Continuous Optimization
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
CUED Control Group Seminars
Theory of Stability Regions and its Practical Application in Online Stability Assessment of Large-Scale Power Grids
Machine Learning Reading Group @ CUED
Deep Learning for Medium-Range Global Weather Prediction
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Learning linear models in-context with transformers
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Computational Neuroscience Journal Club
Cambridge Ellis Unit
Cambridge ELLIS Seminar Series- Dr David Barber- Training Energy Based Models
CUED Control Group Seminars
Quantitative Microbiology With Smart Microscopy
Machine Learning Reading Group @ CUED
Quasi-Monte Carlo: structure in the randomness for better sampling
CUED Control Group Seminars
An Optimization-based Approach to Safe and Efficient Learning-based Control
Computational Neuroscience
A new look at eye design
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Structured recognition for generative models with explaining away
Machine Learning @ CUED
Visit and talk by Jay McClelland: "Some thoughts on the differences between human and machine intelligence"
Machine Learning @ CUED
Compositional mathematics and automatic gradient descent
Cambridge Ellis Unit
Microsoft AI & Pizza
Information Engineering Division seminar list
The Work-Verse: Using scene understanding and senses augmentation for productive work.
Machine Learning Reading Group @ CUED
Deciphering Batch Effects in Single-cell Transcriptomics with Concept Bottlenecks
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Cambridge Ellis Unit
Cambridge ELLIS Seminar Series- Jasper Snoek
Machine Learning Reading Group @ CUED
SchrΓΆdinger bridges, diffusion and SDEs
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Computational Neuroscience Journal Club
Probabilistic Systems, Information, and Inference Group Seminars
AI for Sound
Machine Learning Reading Group @ CUED
The LLM Tidal Wave
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
The LLM Tidal Wave
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Robotics Seminar Series
Distributed Learning for Scalable Collaboration in Robotic Multi-Agent Systems
Cambridge Ellis Unit
Microsoft AI & Pizza event
Machine Learning Reading Group @ CUED
Game theory, distributional reinforcement learning, control and verification
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
On choosing the mass matrix for Hamiltonian Monte Carlo
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Computational Neuroscience Journal Club
Information Engineering Distinguished Lecture Series
Physically Intelligent Robots at the Milli/Microscale
Machine Learning Reading Group @ CUED
Reward Modelling
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
CUED Control Group Seminars
Integrate your residuals while solving dynamic optimization problems
Machine Learning @ CUED
Convergence bounds for the Random Walk Metropolis algorithm - Perspectives from Isoperimetry
Machine Learning Reading Group @ CUED
Navigating the Future: Upcoming EU AI Regulation and its Potential Impact on the Field
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
CUED Control Group Seminars
Extended differential balancing based model reduction for structure preservation
Machine Learning Reading Group @ CUED
Learning-based multiscale modeling: computing, data science, and uncertainty quantification
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Cambridge Ellis Unit
Cambridge ELLIS Seminar Series- Dr. Petar VeliΔkoviΔ - 28 April 2023- 15:00
CUED Control Group Seminars
Vector-based steering control in the insect brain
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Neural Tangent Kernel
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Machine Learning Reading Group @ CUED
No-regret Dynamics for Multi-agent Learning
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Machine Learning Reading Group @ CUED
Scalable Approaches to Self-Supervised Learning using Spectral Analysis
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
CUED Speech Group Seminars
Attention Forcing: Improving attention-based sequence-to-sequence models
Machine Learning Reading Group @ CUED
Physics-informed machine learning
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Causal Machine Learning
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
CUED Control Group Seminars
CANCELLED - An Optimization-based Approach to Safe and Efficient Learning-based Control
Machine Learning Reading Group @ CUED
User Manipulation in Recommender Systems
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
CUED Control Group Seminars
Control challenges in Synthetic and Evolutionary Biology
Machine Learning Reading Group @ CUED
Random Features for Kernel Approximation
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Cambridge Ellis Unit
Cambridge ELLIS Seminar Series- Dr Roger Grosse- Studying Neural Net Generalization through Influence Functions
CUED Control Group Seminars
Design principles of complex cellular decision-making networks during cancer metastasis
Machine Learning Reading Group @ CUED
An Overview of Differential Privacy, Membership Inference Attacks, and Federated Learning
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
CUED Control Group Seminars
Distributed Learning and Control for Networked Autonomy
Machine Learning Reading Group @ CUED
Bayesian Neural Networks
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Microbial growth behavior and the control of protein synthesis in and out of steady state
Machine Learning Reading Group @ CUED
Offline Reinforcement Learning
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
CUED Control Group Seminars
Data-driven control of hybrid systems and Chance-Constrained optimization
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning and Machine Intelligence MPhil List
The Philosophy of Explainable AI and Applications in Medicine
Cambridge Ellis Unit
Geometric Gaussian Processes: Viacheslav Borovitskiy, ETH ZΓΌrich
CUED Control Group Seminars
Feedback system analysis: back to the future
Machine Learning Reading Group @ CUED
{PF}^2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Computational Neuroscience
The unbreakable lightness of single neuron non-linearities in learning
Machine Learning and Machine Intelligence MPhil List
Promises and Challenges in Trustworthy Machine Learning Deployment, with a Criminal Justice Case Study
Cambridge Ellis Unit
Cambridge Ellis Unit Seminar Series - Dr Manuel Gomez RodriguezΒ - 31 Jan 2023- 2pm
Machine Learning and Machine Intelligence MPhil List
Calls to F the Algorithm: Lessons from the 2020 Exam Debacle
Machine Learning @ CUED
Calls to F the Algorithm: Lessons from the 2020 Exam Debacle
CUED Control Group Seminars
A Modern Conjecture on Absolute Stability
CUED Control Group Seminars
Smarter materials for simpler robotics
Machine Learning Reading Group @ CUED
Scalable simulation and inference in non-Gaussian stochastic PDEs
Machine Learning @ CUED
Scalable simulation and inference in non-Gaussian stochastic PDEs
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Generalisable 3D printing error detection and correction via neural networks
Cambridge Ellis Unit
Cambridge Ellis Unit Seminar Series - Dr. Zeynep Akata- 30 Nov 2022- 2pm
Computational Neuroscience
Understanding the emergence of neural population dynamics underlying behaviour
CUED Computer Vision Research Seminars
Object-Centric 3D Perception
Machine Learning @ CUED
Measuring Alignment Between Perceptual Systems: An Analysis Through The Lens of Shared Invariances
Machine Learning Reading Group @ CUED
Information Geometry β Natural Gradient Descent
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Gaussian processes, spectral analysis kernels and optimal transport
CUED Control Group Seminars
On motor intelligence for soft robots
Machine Learning @ CUED
Deep Reinforcement Learning for Multi-Agent Interaction
Machine Learning Reading Group @ CUED
Predicting generalization of ML models.
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Machine Learning @ CUED
Presenting Hawk-Eyeβs Skeletrack: Our machine learning approach to building a real time skeletal tracking system for sports, and how we're using it to shape the future of fan engagement
CUED Control Group Seminars
Physics-based modeling of deformable robots for real-time simulation and control
Machine Learning Reading Group @ CUED
A tutorial on diffusion models
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
The second generation of meta-learning methods
CUED Control Group Seminars
Force sensing across different length scales - from cell biology to orthopaedic surgery
CUED Control Group Seminars
Multivariable Control in 40 Minutes
Cambridge Ellis Unit
Dr. Maria Perez-Ortiz- βTowards Planet-centered Artificial Intelligenceβ
Machine Learning Reading Group @ CUED
Benchmarking and evaluation in contemporary machine learning
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Random walks, self-reinforcement and neurons
CUED Control Group Seminars
Sensorimotor Control of Robotic Wearable technologies
Machine Learning Reading Group @ CUED
Advanced artificial agents intervene in the provision of reward
CUED Speech Group Seminars
Multi-Head State Space Model for Sequence Modeling
Machine Learning Reading Group @ CUED
Theory and Practice of Infinitely Wide Neural Networks - Guest Talk
CUED Computer Vision Research Seminars
Self-supervised Learning from Images, Videos, and a single Image plus Augmentations
CUED Computer Vision Research Seminars
Modeling Light for View Synthesis
CUED Computer Vision Research Seminars
Analysis by synthesis for interpretable image collection analysis
CUED Speech Group Seminars
What are the unsolved problems in Conversation Design?
β οΈ Hybrid meeting. If you'd like to talk with Cathy after the talk over sandwiches please contact Kate Knill kmk1001@cam.ac.uk.
CUED Computer Vision Research Seminars
Synthetics with Digital Humans
Machine Learning Reading Group @ CUED
The unreasonable effectiveness of mathematics in large scale deep learning
CUED Control Group Seminars
Controlling imperfect robot swarms
Machine Learning Reading Group @ CUED
The role of meta-learning for few-shot classification
Machine Learning @ CUED
Noise-Aware Differentially Private Synthetic Data
Machine Learning Reading Group @ CUED
Benefits and Shortcomings of Assistance
CUED Control Group Seminars
Non-Stationary Representation Learning in Sequential Linear Bandits
Machine Learning @ CUED
Estimating RSV seasonality from pandemic disruptions: a modelling study
Machine Learning Reading Group @ CUED
Discussion: Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Distributed Control of DC Microgrids with Flexible Structure
Machine Learning Reading Group @ CUED
Discussion: Learning PAC-Bayes Priors for Probabilistic Neural Networks
CUED Speech Group Seminars
Confidence estimation for attention-based encoder-decoder models for speech recognition
β οΈ This talk will be both online (zoom) and offline (CBL Meeting Room)
CUED Speech Group Seminars
Deciphering speech: a top-down approach to zero-resource speech recognition
β οΈ This talk will be both online (zoom) and offline (JDB Seminar Room)
Machine Learning Reading Group @ CUED
Rethinking evaluation for machine learning models
Computational Neuroscience
Computational Neuroscience Journal Club
Cambridge Ellis Unit
Cambridge Ellis Seminar Series- Dr. Nicholas Lane- 30 May 2022- 2 pm
Information Engineering Distinguished Lecture Series
Fundamental Limits of Learning with Feedforward and Recurrent Neural Networks
CUED Control Group Seminars
Size-dependence of switching and stable behavior in biochemical systems
Machine Learning Reading Group @ CUED
Discussion: Bayesian Model Selection, the Marginal Likelihood, and Generalization
CUED Control Group Seminars
Analysis and design of bio-inspired indecision-breaking decision makers
Computational Neuroscience
How a recurrent circuit of Poisson spiking neurons is able to implement sampling-based inference
Machine Learning @ CUED
Beyond Conformal Prediction: Distribution-Free Uncertainty Quantification for Complex Machine Learning Tasks
Probabilistic Systems, Information, and Inference Group Seminars
Computational Imaging and Sensing: Theory and Applications
Machine Learning Reading Group @ CUED
How close are these distributions? A brief introduction to statistical distances and divergences.
Microsoft Research Cambridge, public talks
Assisting in the response to the COVID19 pandemic using internet data, Dr Elad Yom-Tov - MSR Cambridge, Lecture Series
β οΈ Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required
CUED Control Group Seminars
Weak Control for Human-in-the-loop Systems
Machine Learning Reading Group @ CUED
Bests of ICLR
CUED Control Group Seminars
On Minimax Adaptive Control
Cambridge Ellis Unit
Cambridge Ellis Seminar Series- Dr. Hana Chockler-Actual Causality, Explanations, and Fairness
CUED Control Group Seminars
Passivity, Monotonicity, and Network Optimization: New Perspectives for Network Systems Analysis
Machine Learning @ CUED
Graph neural network approach for decentralized multi-robot coordination
Machine Learning Reading Group @ CUED
Machine Learning with Quantum Computers
CUED Control Group Seminars
Dance-inspired investigation of human locomotor coordination
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
SoundStream: An End-to-End Neural Audio Codec
β οΈ This talk will be on zoom
CUED Control Group Seminars
Cybergenetics: A control theory for living cells
Cambridge Ellis Unit
Cambridge Ellis Unit Seminar Series - Dr Silvia Chiappa- Asymptotically Best Causal Effect Identification with Multi-Armed Bandits
Machine Learning Reading Group @ CUED
Autoregressive Diffusion Models
CUED Control Group Seminars
Advanced Sliding Mode Control
Machine Learning Reading Group @ CUED
An Overview of AI Alignment
Machine Learning Reading Group @ CUED
The Bayesian Learning Rule for Adaptive AI
CUED Speech Group Seminars
SpeechBrain: Unifying Speech Technologies and Deep Learning With an Open Source Toolkit
β οΈ This talk will be on zoom
CUED Control Group Seminars
Modular analysis of linear systems using assume-guarantee contracts
Machine Learning Reading Group @ CUED
Introduction to differential privacy
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Learning-based control of soft robots
CUED Control Group Seminars
Data-driven stabilization of nonlinear polynomial systems with noisy data
Machine Learning Reading Group @ CUED
Retrieval Augmented NLP
CUED Control Group Seminars
Saddle-point dynamics, non-expansive semiflows, and necessary and sufficient conditions for convergence
Machine Learning Reading Group @ CUED
Circuits and Interpretability
Cambridge Ellis Unit
Cambridge Ellis Unit Seminar Series - Dr Cheng Zhang- 9 February 2022- 2pm
Machine Learning Reading Group @ CUED
Optimal Transport Metrics
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Learned Compression
CUED Control Group Seminars
Epidemic mitigation through testing and optimal urban mobility
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Diffusion and Score-based Generative Models
Machine Learning Reading Group @ CUED
AI Safety
Machine Learning Reading Group @ CUED
[Cancelled] Best of Neurips
CUED Control Group Seminars
Contraction and Convexity, Robustness and Regularisation
β οΈ For the Zoom link to this talk, please e-mail tbb29@cam.ac.uk
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Towards a Theory of Energy Conversion
Machine Learning Reading Group @ CUED
Energy-Based Models
CUED Speech Group Seminars
Unsupervised Speech Disentanglement for Speech Style Transfer
β οΈ This talk will be on zoom
Computational Neuroscience
Connectivity inference in visual cortex and characterization of contrast-suppressed cells
CUED Control Group Seminars
Title to be confirmed
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Modeling human sensorimotor control for better control of surgical robots
Machine Learning Reading Group @ CUED
Deep Kernels
CUED Control Group Seminars
Distributed Optimal Secondary Frequency Control for Power Systems With Delay Independent Stability
Machine Learning Reading Group @ CUED
Mean Field Theory of NN (postponed to March 2022)
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
Cross-corpora experiments of automatic proficiency assessment and error detection for spoken English
β οΈ This talk will be on zoom
Machine Learning Reading Group @ CUED
Representation Learning: A Causal Perspective
CUED Control Group Seminars
A deterministic least squares approach for simultaneous input and state estimation
Machine Learning Reading Group @ CUED
Ethics, Integrity and Good Practice in ML
Cambridge Ellis Unit
Cambridge Ellis Unit Seminar Series- Dr Neil Houlsby- Learning general visual representations: data, scaling laws, and fewer convolutions
Machine Learning Reading Group @ CUED
Implicit Regularization in Deep Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Planning Meeting + PI Presentations
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
Generative Speech Separation based on Pitch Information
β οΈ This talk will be on zoom
Cambridge Ellis Unit
Advances in Neural Processes
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Towards Neuro-Causality: Relating Graph Neural Networks to Structural Causal Models
CUED Control Group Seminars
Closing The Gap Between Theory and Experiments in The Design of Biomolecular Feedback Circuits
β οΈ Zoom meeting link to be released
Cambridge Ellis Unit
Machine Learning and Finite Elements
Machine Learning Reading Group @ CUED
CBL Alumni Talk - Task-specific routing of information in neural circuits via structured noise by Cristina Savin
CUED Speech Group Seminars
Prosody transfer evaluation and temporal prosody control in speech synthesis
β οΈ This seminar will take place on zoom
Machine Learning Reading Group @ CUED
CBL Alumni Talk: Nonlinear filtering as a unifying principle in neuroscience by Jean-Pascal Pfister
CUED Control Group Seminars
Combining two mechanisms to produce neural firing rate homeostasis
β οΈ Zoom meeting link: https://zoom.us/j/97625047934
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
Low-resource expressive text-to-speech using data augmentation
CUED Control Group Seminars
Spiking Control Systems
β οΈ Zoom meeting link: https://zoom.us/j/93178617889
CUED Speech Group Seminars
Automatic Speech Recognition in a State-of-Flux
CUED Control Group Seminars
Graphical Nonlinear System Analysis
β οΈ Zoom meeting link: https://zoom.us/j/96507147724
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
CBL Alumni Talk: Finale Doshi-Velez
Machine Learning Reading Group @ CUED
Pseudo-Points and State-Space Gaussian Processes
CUED Speech Group Seminars
Time-domain multi-channel speech separation and extraction
β οΈ This talk will be on zoom.
Machine Learning Reading Group @ CUED
CBL Alumni Talk: Latent Stochastic Differential Equations: An Unexplored Model Class.
Computational Neuroscience
Capacity and errors in classification of object manifolds
Machine Learning Reading Group @ CUED
The Statistical Finite Element Method
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
Long Sequence-to-Sequence Summarization: Efficient Transformer Models & Complementary Techniques
β οΈ This talk will be on zoom.
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
Audio-Visual Learning: Challenges and New Approaches
β οΈ This talk will be on zoom
Machine Learning Reading Group @ CUED
CBL Alumni Talk - Our Power as Technical Designers
Machine Learning Reading Group @ CUED
Best of ICLR
CUED Speech Group Seminars
Automatic Assessment Systems for the Spoken CALL Shared Tasks
β οΈ This talk will be held on zoom
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
CBL Alumni Talk: Accurate Gaussian Processes and how they can help Deep Learning
Machine Learning Reading Group @ CUED
An Introduction to PAC-Bayes
Machine Learning Reading Group @ CUED
Automated Augmented Conjugate Inference for Gaussian Processes
Machine Learning Reading Group @ CUED
CBL Alumni Talk: Examining Critiques in Bayesian Deep Learning
Machine Learning Reading Group @ CUED
Online Learning and Online Convex Optimisation
CUED Control Group Seminars
Distribution and regulation of ion channels in neurons: Quantitative studies of global protein transport and homeostatic synaptic scaling
β οΈ Zoom meeting link: https://zoom.us/j/99231423419
Machine Learning Reading Group @ CUED
Monte Carlo Gradient Estimation in Machine Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Secondmind's research activities to make Gaussian Processes industry proof
CUED Control Group Seminars
Generalized Nash equilibrium seeking under partial information
β οΈ Zoom meeting link: https://zoom.us/j/96326600203
Machine Learning Reading Group @ CUED
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Gaussian Processes I have Known
CUED Speech Group Seminars
Combination of Deep Speaker Embeddings for Diarisation and Discriminative Neural Clustering for Speaker Diarisation
β οΈ Seminar on zoom
CUED Control Group Seminars
The role of space in evolution: insights from microbial and viral expansions
β οΈ Zoom meeting link: https://zoom.us/j/99083035008
Machine Learning Reading Group @ CUED
Causal Representation Learning
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
Natural Language Interpretation in Dialogue Systems
β οΈ Seminar on zoom
Machine Learning Reading Group @ CUED
Long-Range Transformers
CUED Speech Group Seminars
Interpretable representation learning for speech and audio signals
β οΈ Seminar on zoom
CUED Control Group Seminars
Information transfer from biological to analog microcircuits
β οΈ Zoom meeting link: https://zoom.us/j/97349674751
Machine Learning Reading Group @ CUED
Inference in Stochastic Processes
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
Semi-supervised Learning for Low-resource Multilingual and Multimodal Speech Processing with Machine Speech Chain
β οΈ Seminar on zoom
CUED Control Group Seminars
Stabilization of Discrete-Time Switched Affine Systems and their Applications in Power Electronics
β οΈ Zoom meeting link: https://zoom.us/j/98109940596
Machine Learning Reading Group @ CUED
Fairness in AI
Machine Learning Reading Group @ CUED
Variational Bayes as Surrogate Regression
CUED Speech Group Seminars
Tackling Multispeaker Conversation Processing based on Speaker Diarization and Multispeaker Speech Recognition
β οΈ Seminar on zoom
CUED Control Group Seminars
Stability of Optimisation-based Control: Brief Review and New Results
β οΈ Zoom meeting link: https://zoom.us/j/93349961156
CUED Control Group Seminars
Data-driven control Γ la Finsler and Yakubovich
β οΈ Zoom meeting link: https://zoom.us/j/92943573797
Machine Learning Reading Group @ CUED
Bayesian optimization / Gaussian Process Bandits
Machine Learning Reading Group @ CUED
Meta-reinforcement learning
Computational Neuroscience
A theory for Hebbian Learning in recurrent E-I networks
Machine Learning Reading Group @ CUED
Best of NeurIPS
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
The covariance perceptron: Theory and application to reservoir computing
CUED Control Group Seminars
Identification and model reduction of complex network systems
β οΈ Zoom meeting link: https://zoom.us/j/93541687585
Machine Learning Reading Group @ CUED
Neural Processes
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
Transformer: the 3rd generation neural network acoustic models for ASR and its application at Facebook
β οΈ Please note change of time from original post to 3-4pm
CUED Control Group Seminars
A canonical brain computation: from mechanism to purpose
β οΈ Zoom meeting link: https://zoom.us/j/99373703786
Machine Learning Reading Group @ CUED
Large-scale sequential experimentation
CUED Control Group Seminars
A Digital Twin for Controlling Industrial Processes
β οΈ Zoom meeting link: https://zoom.us/j/98082715567
Machine Learning Reading Group @ CUED
Symmetries in Reinforcement Learning
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Electronics on the Brain
Machine Learning Reading Group @ CUED
Gradient-based Hyperparameter Optimisation
CUED Control Group Seminars
Self-Healing Codes
β οΈ Zoom meeting link: https://zoom.us/j/92275948382
Machine Learning Reading Group @ CUED
Best Papers from ICML 2020
CUED Control Group Seminars
Understanding and engineering biological networks using timelapse microfluidic microscopy
β οΈ Zoom meeting link: https://zoom.us/j/93507110597
CUED Control Group Seminars
An Optimal Control Approach to Covid-19
β οΈ Zoom meeting link: https://zoom.us/j/97430090424
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Cognitive switches and functional reprogramming of sensory cortex
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Efficient and Structured Uncertainty: Challenges and Opportunities
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Active Learning
EPSRC Centre for Doctoral Training -- Agriforwards CDT (CAMBRIDGE)
Automation through Grower-reprogrammable Robotics
β οΈ https://eng-cam.zoom.us/webinar/register/WN_0b0V1n26TbmUi8ryUGmKdw
Machine Learning Reading Group @ CUED
Recent advances in the theory and applications of VAEs
CUED Control Group Seminars
Nonlinear resonance and excitability in interconnected systems
CUED Control Group Seminars
System Identification of Neuronal Behaviors
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
On feedback control of switches and oscillators based on dominance theory
Information Engineering Distinguished Lecture Series
A mathematical theory of deep neural networks
β οΈ Postponed due to COVID-19
CUED Control Group Seminars
Geometric Thinking in Engineering and Applied Sciences
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Tradeoffs in biological optimisation
Information Engineering Distinguished Lecture Series
Title to be confirmed
β οΈ Postponed due to COVID-19
CUED Control Group Seminars
Hierarchical Robust Performance Analysis of Uncertain Large Scale Systems
Machine Learning Reading Group @ CUED
Best of ICLR 2020
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Differentiable Planning
Computational Neuroscience
Why do neurons spike spontaneously?
Computational Neuroscience
Why do neurons spike spontaneously?
Machine Learning Reading Group @ CUED
Recent Developments in Bayesian Deep Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Strategic Classification
Machine Learning Reading Group @ CUED
Machine Learning on Sets
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Boltzmann Generators and Stochastic Normalizing Flows
Machine Learning Reading Group @ CUED
World Models
Machine Learning Reading Group @ CUED
Federated Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Game Playing Meets Game Theory: Strategic Learning from Simulated Play
CUED Control Group Seminars
An overview of Research and Robotics at Google Deepmind
Microsoft Research Cambridge, public talks
Distributed distributional codes for learning successor features in partially observable environments
β οΈ Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Machine Learning Reading Group @ CUED
Self-Supervised Representation Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Exploiting Sparsity in Semidefinite and Sum of Squares Programming
Robotics Seminar Series
Soft Aerial Robotics for Digital Infrastructure Systems
Machine Learning Reading Group @ CUED
Kernel Mean Embeddings
Robotics Seminar Series
Development of sensors for soft material structures
Information Engineering Distinguished Lecture Series
Intellectual Debt and the Death of the Programmer
CUED Control Group Seminars
Integral quadratic constraints for asynchronous sampled-data links
Machine Learning Reading Group @ CUED
Neural Tangent Kernel
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Sankie: Using Data to Build Better Systems and Services
β οΈ Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
CUED Control Group Seminars
Principles of lossless adjustable one-ports
Microsoft Research Cambridge, public talks
Machine Learning Meetup
CUED Control Group Seminars
Sequential Monte Carlo and deep regression
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Deep (Inter-)Active Learning for NLP: Cure-all or Catastrophe?
β οΈ Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks
Deep (Inter-)Active Learning for NLP: Cure-all or Catastrophe?
β οΈ Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Machine Learning @ CUED
Robust Deep Learning Under Distribution Shift
CUED Control Group Seminars
Networks of Nonsmooth Oscillators & Applications in Neuroscience
Microsoft Research Cambridge, public talks
Algorithmic Differentiation (AD) Beyond Back Propagation
Probabilistic Systems, Information, and Inference Group Seminars
On the Stability and the Uniform Propagation of Chaos Properties of Ensemble Kalman-Bucy Filters
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Moonshot Thinking to Unleash Innovation, Dr Pablo Rodriguez - Telefonica Alpha: MSR Cambridge, Lecture Series
β οΈ Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Probabilistic Systems, Information, and Inference Group Seminars
Reliability function near the zero error capacity
Robotics Seminar Series
Neuroevolutionary approaches to generating increasingly intelligent behaviours in virtual creatures / (simulated) robots
Robotics Seminar Series
Information and Decision-Making
CUED Control Group Seminars
Sliding Modes for Estimation: theory and practice
Probabilistic Systems, Information, and Inference Group Seminars
Lie Group Machine Learning and Natural Gradient from Information Geometry
Machine Learning Reading Group @ CUED
Scalable Gaussian Processes
Microsoft Research Cambridge, public talks
The Mobile Computing Platform after Smartphones - Prof Romit Roy Choudhury: MSR Cambridge, Lecture Series
β οΈ Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Computational Neuroscience
Computational Neuroscience Journal Club
Probabilistic Systems, Information, and Inference Group Seminars
Gradient-based Adaptive Markov Chain Monte Carlo
CUED Control Group Seminars
Data Science: From System Identification to (Deep) Learning and Big Data
CUED Control Group Seminars
Biologically realistic mean-field models of neuronal populations
CUED Control Group Seminars
On Nucleic Acid Feedback Controllers
Machine Learning Reading Group @ CUED
Probabilistic Programming
Microsoft Research Cambridge, public talks
Photonic-chip-based soliton microcombs
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CUED Control Group Seminars
Learning and retaining tasks in redundant brain circuits
Machine Learning Reading Group @ CUED
Neural Attention
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Neuromorphic control
Computational Neuroscience
Structure in the randomness of trained recurrent neural networks
Machine Learning Reading Group @ CUED
Equivariance and Symmetries in CNNs
Information Engineering Distinguished Lecture Series
Speech Recognition: Whatβs Left?
β οΈ This talk is organised in conjunction with the IEEE Signal Processing Society for which Dr Michael Picheny is a Distinguished Industry Speaker
Machine Learning @ CUED
Models and inference for temporal Gaussian processes
Machine Learning Reading Group @ CUED
Hyperparameter Optimisation
Computational Neuroscience
Computational neuroscience journal club
Computational Neuroscience
Neural information processing during behavior and sleep
Machine Learning Reading Group @ CUED
Meta-Learning or "Learning To Learn"
Machine Learning @ CUED
Reinforcement Learning at Huawei: Robustness, Safety, and Efficiency
Machine Learning @ CUED
Constructing temporal latent spaces: Representation learning for clustering and imputation on time series
Machine Learning @ CUED
Explaining Neural Networks: Post-hoc and Natural Language Explanations
CUED Control Group Seminars
A tool for analysis and synthesis of heterogeneous multi-agent systems
Machine Learning Reading Group @ CUED
Hamiltonian Monte Carlo for Hierarchical Models
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Interaction between humans and with robot
CUED Control Group Seminars
Synchronization of heterogeneous agents via funnel coupling
CUED Control Group Seminars
Soft robotics: Fusing actuation with perception
Computational Neuroscience
Dopamine as prediction error in active inference
Probabilistic Systems, Information, and Inference Group Seminars
Random Caching Based Transmission in Ultra-Dense Wireless Networks
Computational Neuroscience
Neurotransmitter spillover modulates neuronal information transmission
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Long-term dynamics of synapses and representations in the mouse auditory cortex
Machine Learning @ CUED
Learning-Algorithms from Bayesian Principles
Microsoft Research Cambridge, public talks
Advanced polarized light microscopy for mapping molecular orientation
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CUED Control Group Seminars
TBD
CUED Control Group Seminars
Minkowski, Lyapunov, and Bellman: Inequalities and Equations for Stability and Optimal Control
Computational Neuroscience
Wearable non-invasive human neural interface with action potential resolution
Computational Neuroscience
Wearable non-invasive human neural interface with action potential resolution
Machine Learning @ CUED
Rotation Invariant Householder Parameterization for Bayesian PCA
Microsoft Research Cambridge, public talks
Three case studies for coexisting mechanisms in protein-pattern forming systems
Microsoft Research Cambridge, public talks
Modeling User Experience in Games: Lessons Learned
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Machine Learning @ CUED
Two Approximate Sampling Methods for Bayesian Deep Learning
Microsoft Research Cambridge, public talks
Physical security and side channel attacks in Arm based SoCs
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Microsoft Research Cambridge, public talks
Using reason and evidence to do the most good
Frontiers in Artificial Intelligence Series
How good is your classifier? Revisiting the role of evaluation metrics in machine learning
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Microsoft Research Cambridge, public talks
Antennas for light and their applications in classical optics
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CUED Control Group Seminars
Lie group and homogeneous variational integrators and their applications to geometric optimal control theory
Machine Learning @ CUED
Semi-Unsupervised Learning with Deep Generative Models / Disentangling Improves VAEs' Robustness to Adversarial Attacks
Machine Learning @ CUED
Efficiency and Transferability of Neural Networks
Machine Learning @ CUED
Learning via Data Compression: Bayesian Coresets and Sparse Variational Inference
Microsoft Research Cambridge, public talks
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
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CUED Control Group Seminars
Automotive Control Using Non-Linear System Models With Uncertainty
Machine Learning @ CUED
Deep Neural Networks: A Nonparametric Bayesian Approach with Local Competition
Probabilistic Systems, Information, and Inference Group Seminars
Simple Reinforcement Learning Algorithms for Continuous State and Action Space Systems
Microsoft Research Cambridge, public talks
Photons in the cloud: communicating and storing data
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CUED Control Group Seminars
Morphological Computation - A Potential Solution for the Control Problem in Soft Robotics
Microsoft Research Cambridge, public talks
Photonics for Computing: from Optical Interconnects to Neuromorphic Architectures
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Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Information Consumption on Social Media: Efficiency, Trust, and Divisiveness
CUED Control Group Seminars
Stochastic Sylvester equations for output regulation of linear stochastic systems
CUED Control Group Seminars
On indefinite damping and gyroscopic stabilization
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Limits of precision in stochastic cell biology
Probabilistic Systems, Information, and Inference Group Seminars
A local weak limit approach to the study of graphical data
Computational Neuroscience
How perception informs urgent saccadic choices: halting, acceleration, and deceleration
Probabilistic Systems, Information, and Inference Group Seminars
The Statistical Finite Element Method
Machine Learning @ CUED
Why Do We Need New Hardware & Software for Machine Intelligence?
CUED Control Group Seminars
Cascade Dynamics, Multiplex Networks and Heterogeneity
Machine Learning Reading Group @ CUED
Particle MCMC
Computational Neuroscience
Computational Neuroscience Journal Club
Probabilistic Systems, Information, and Inference Group Seminars
Deep Learning for Multifarious Speech Processing: Tackling Multiple Speakers, Microphones, and Languages
Information Engineering Distinguished Lecture Series
Can machine learning trump theory in communication system design?
CUED Speech Group Seminars
Robust speech processing on multi-talker mixed speech
CUED Control Group Seminars
Regulation of Ant Foraging as a Closed-Loop Excitable System
Machine Learning Reading Group @ CUED
Stochastic Differential Equations
Machine Learning @ CUED
Nonparametric Generative Modeling via Optimal Transport and Diffusions with Provable Guarantees
CUED Control Group Seminars
Human and Robot Decision Making in Multi-Armed Bandits
Machine Learning Reading Group @ CUED
Generalisation in neural networks
Computational Neuroscience
Computational Neuroscience Journal Club
Information Engineering Distinguished Lecture Series
Symmetry, bifurcation, and multi-agent decision-making
CUED Control Group Seminars
Probabilistic Reliability Management for Electric Power Systems Operation
Machine Learning Reading Group @ CUED
An Overview of Normalizing Flows
Microsoft Research Cambridge, public talks
Canopus and RCanopus: Scalable Consensus for Permissioned Blockchains
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Microsoft Research Cambridge, public talks
Canopus and RCanopus: Scalable Consensus for Permissioned Blockchains
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Microsoft Research Cambridge, public talks
An introduction to clustering and the expectation maximisation algorithm Part 2
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Microsoft Research Cambridge, public talks
An introduction to clustering and the expectation maximisation algorithm Part 1
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Machine Learning @ CUED
NeVAE: A Deep Generative Model for Molecular Graphs
Machine Learning @ CUED
Global model explainability via aggregation
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Sampling as Optimization
Machine Learning @ CUED
Robust machine learning for causal inference in health care
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
How can speech technologies support learners to improve their skills of speaking, listen-ing, conversation and more?
Microsoft Research Cambridge, public talks
MSR Cambridge Cloud Talk Series; Structured light: seeing less to see more in optical microscopy
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Microsoft Research Cambridge, public talks
What difference does one tonne make?
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Computational Neuroscience
The K-FAC method for neural network optimization
Machine Learning Reading Group @ CUED
Implicit Variational Inference
Your personal list
Open Issues in Build Systems
Machine Learning Reading Group @ CUED
Continual Learning: Definitions, Benchmarks, and Approaches
Information Engineering Distinguished Lecture Series
Deep Reinforcement Learning: from AlphaGo to AlphaStar
Frontiers in Artificial Intelligence Series
Neural Code Comprehension: A Learnable Representation of Code Semantics
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Machine Learning Reading Group @ CUED
Causal Inference and Causal Reinforcement Learning
Computational Neuroscience
Stimulus complexity shapes response correlations in primary visual cortex
CUED Control Group Seminars
Block Scaled Diagonal Dominance for Applications in Control Theory and Optimisation
Machine Learning Reading Group @ CUED
Generative models for few-shot prediction tasks
Computational Neuroscience
Computational Neuroscience Journal Club
Information Engineering Distinguished Lecture Series
Unleashing your inner maker
CUED Control Group Seminars
Deep Learning meets Control Theory: Research at NNAISENSE
Computational Neuroscience
Neural circuit mechanisms of learning and attentional task-switching during visually-guided behaviour in mice
CUED Control Group Seminars
Contraction Analysis of Monotone Systems
Machine Learning @ CUED
Online Meta-Learning
Machine Learning Reading Group @ CUED
Logical Uncertainty
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
High-dimensional dynamics of generalization error in neural networks: implications for experience replay
Machine Learning @ CUED
Gauge Equivariant Convolutional Networks on Manifolds
Probabilistic Systems, Information, and Inference Group Seminars
Latent Variable Models for Bayesian Inference with Stable Distributions and Processes
Machine Learning Reading Group @ CUED
Stein Discrepancy
CUED Control Group Seminars
The stability of systems in stochastic feedback loops
Machine Learning @ CUED
Observation and Intervention Incentives in Causal Influence Diagrams: Towards an Understanding of Powerful Machine Learning Systems
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Local and global synaptic credit assignment
CUED Control Group Seminars
Stochastic modeling and control of power grids under uncertainty
Machine Learning @ CUED
Fairness for Sequential Decision Making Algorithms
Frontiers in Artificial Intelligence Series
What Can Fair ML Learn from Economic Theories of Distributive Justice?
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CUED Control Group Seminars
Tracking performance of time-varying nonconvex optimization with application to OPF
Machine Learning @ CUED
Gaussian processes for inferring latent functions in complex data models
CUED Control Group Seminars
Control across scales by positive and negative feedback
CUED Control Group Seminars
Robustness and model reduction of dominant systems
Probabilistic Systems, Information, and Inference Group Seminars
On optimal sampling in off-the-grid sparse regularisation.
CUED Control Group Seminars
Distributed price-based control of flexible electrical loads
Machine Learning Reading Group @ CUED
Neural Ordinary Differential Equations
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Idris 2: Type Driven Development of Idris
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Adrian Seminars in Neuroscience
Adrian Seminar - "Computational model of rapid learning in hippocampus".
Machine Learning Reading Group @ CUED
Natural gradient in deep neural networks
Computational Neuroscience
A brain-machine interface for locomotion driven by subspace dynamics
Computational Neuroscience
Neural mechanisms of model-based planning in the rat
Probabilistic Systems, Information, and Inference Group Seminars
Estimating low-rank matrices via approximate message passing
CUED Control Group Seminars
Control Design Using Differential Games β From Centralised to Decentralised Control
Machine Learning Reading Group @ CUED
Graph Neural Networks
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Defending Against Adversarial Attacks
Machine Learning Reading Group @ CUED
Reinforcement Learning and Control as Probabilistic Inference
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
KΕrero MΔori - indigenous language revitalisation powered by machine learning
Microsoft Research Cambridge, public talks
Flux: Elegant Machine Learning with Julia
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CUED Control Group Seminars
Optimal control of ballistic movements in a thalamo-cortical circuit model
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Causal Inference for Treatment Effects: A Theory and Associated Learning Algorithms
Probabilistic Systems, Information, and Inference Group Seminars
Fastest Convergence for Reinforcement Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Reactivation in biological and artificial neural networks
Machine Learning @ CUED
Interpretability - the myth, questions, and some answers
Your personal list
Simulation for Intelligent Systems
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Machine Learning @ CUED
Constraint-based causal Discovery from NOnstationary/heterogeneous Data (CD-NOD)
Probabilistic Systems, Information, and Inference Group Seminars
How to use particle filtering methods to solve numerical optimization problems ?
CUED Speech Group Seminars
General teacher-student learning for automatic speech recognition
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Neural Ordinary Differential Equations
β οΈ ο§ Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Frontiers in Artificial Intelligence Series
Interpretability in Machine Learning: What it means, How we're getting there
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Machine Learning @ CUED
Fast yet Simple Natural-Gradient Variational Inference in Complex Models
Microsoft Research Cambridge, public talks
Combating Student Mental Illness with Technologyβfrom the Imagine Cup UK Finals
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Machine Learning @ CUED
Variance in Policy Gradient methods and Learning Sequential Latent Variable Models
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Monitoring and Fault-tolerant Control for Large-Scale Interconnected Systems
Machine Learning @ CUED
Structured deep models: Deep learning on graphs and beyond
Microsoft Research Cambridge, public talks
DiCE: The Infinitely Differentiable Monte-Carlo Estimator
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Microsoft Research Cambridge, public talks
Herding Nulls β and other C# stories from the future
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Machine Learning @ CUED
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Windows Insider Program
β οΈ Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
CUED Control Group Seminars
Control theory of switches and clocks
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Semi-Generative Modelling: Domain Adaptation with Cause and Effect Features
Probabilistic Systems, Information, and Inference Group Seminars
Design techniques for sparse regression codes
CUED Control Group Seminars
Gaussian distributions in symmetric spaces: novel tools for statistical learning with covariance matrices
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Input-to-State Stability for complex dynamics: From global to almost global⦠and back
Machine Learning @ CUED
Algorithmic Glass Ceiling in Social Networks
Information Engineering Division seminar list
Inspiring Engineers - Machine Learning for Social Tech Entrepreneurship & GaN Power Electronics: My experiences in Engineering
Computational Neuroscience
Information Efficacy of a Dynamic Synapse
CUED Control Group Seminars
Finding Complex Structure in Biological Data
CUED Speech Group Seminars
Predictive Uncertainty in Deep Learning
Probabilistic Systems, Information, and Inference Group Seminars
Geometric MCMC for infinite-dimensional inverse problems
CUED Control Group Seminars
On a Model for the Growth of Tree Stems and Vines
Machine Learning @ CUED
A Bayesian Perspective on Generalization and SGD
Machine Learning @ CUED
Algorithmic Glass Ceiling in Social Networks
Information Engineering Distinguished Lecture Series
Active Machine Learning: From Theory to Practice
CUED Control Group Seminars
Autonomous learning of multimodal internal models for robots using multiple sources of information
Machine Learning Reading Group @ CUED
Neural Networks and Natural Language Processing
Bio-Inspired Robotics Lab (BIRL) Seminar Series
Manual Robotic Intelligence and the Success of Assistant Robots
Machine Learning @ CUED
Structure in tensor-variate data: a trivial byproduct of simpler phenomena?
Probabilistic Systems, Information, and Inference Group Seminars
Information-theoretic perspectives on learning algorithms
CUED Control Group Seminars
Designing emergent behaviours of (soft) robots
Machine Learning Reading Group @ CUED
Information Theory, Codes, and Compression
Information Engineering Distinguished Lecture Series
Intelligent Self-Driving Vehicles
CUED Control Group Seminars
ADMM for Exploiting Structure in MPC Problems
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
Structured Deep Learning for Dialogue Management
Machine Learning @ CUED
Lipschitz Global Optimization
Machine Learning Reading Group @ CUED
Statistical Learning Theory
Computational Neuroscience
Interfacing with the brain using organic electronics
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Neuromechanical models of locomotion: from biology to robotics
Machine Learning Reading Group @ CUED
Deep Generative Models
Information Engineering Distinguished Lecture Series
Convex Optimization
CUED Control Group Seminars
Object Oriented Convex Optimization with CVXPY
Machine Learning Reading Group @ CUED
Minimum Description Length
Computational Neuroscience
Computational Neuroscience Journal Club
Frontiers in Artificial Intelligence Series
Optimal algorithms for smooth and strongly convex distributed optimization in networks
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Machine Learning Reading Group @ CUED
Machine Learning for Sounds
Machine Learning Reading Group @ CUED
NIPS 2017 Highlights
Machine Learning @ CUED
Variational inference for some models with Polya-Gamma latent variables and Gaussian process priors
Machine Learning @ CUED
Bayesian Generative Adversarial Networks
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Bayesian Generative Adversarial Networks
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Machine Learning @ CUED
AI for Inclusive Finance
Machine Learning Reading Group @ CUED
Hardware Efficient Machine Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Backprop through the Void: Optimizing Control Variates for Black-Box Gradient Estimation.
Bio-Inspired Robotics Lab (BIRL) Seminar Series
Mind Under Matter: Controlling Movements of Soft Animals and Robots
Machine Learning @ CUED
Learning to Learn without Gradient Descent by Gradient Descent
CUED Control Group Seminars
Towards Scale-Free Control of large-scale traffic networks
Machine Learning Reading Group @ CUED
Learning to Learn
Machine Learning @ CUED
Towards true end-to-end learning & optimization
CUED Control Group Seminars
Invariant Kalman filtering
Machine Learning Reading Group @ CUED
WGAN and Optimal Transport
Probabilistic Systems, Information, and Inference Group Seminars
Intelligent Processing for Future Communication Networks
Microsoft Research Cambridge, public talks
Letβs speed up the Internet, fast!
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Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
How much to gain: Controlling space and time via gain modulation in cortical networks
Microsoft Research Cambridge, public talks
Rethinking the Quantified Self to make personal data engaging and useful
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Machine Learning Reading Group @ CUED
Interpretability in Machine Learning
CUED Control Group Seminars
Model Reduction by Moment Matching at Poles for Linear and Nonlinear Systems
Machine Learning Reading Group @ CUED
Deep Structured Prediction for Handwriting Recognition
Machine Learning @ CUED
Targeted Disclosure to Support Auditing and Accountability for Automated Decision-making
Computational Neuroscience
Computational Neuroscience Journal Club
Bio-Inspired Robotics Lab (BIRL) Seminar Series
Multilayered dielectric elastomer actuators for soft robotics
Bio-Inspired Robotics Lab (BIRL) Seminar Series
Multilayered dielectric elastomer actuators for soft robotics
Computational Neuroscience
Somatosensory cortex is essential for adaptive motor control in mice
Machine Learning Reading Group @ CUED
Cooperative Inverse RL
Computational Neuroscience
From the olfactory cocktail party to markerless tracking
CUED Control Group Seminars
Are right-half plane zeros necessary for inverse response? It dependsβ¦
Machine Learning Reading Group @ CUED
Infer.NET
Machine Learning @ CUED
Nonlinear ICA using temporal structure: a principled framework for unsupervised deep learning
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Spike timing in motor control
Machine Learning @ CUED
Transfer Learning for NLP
CUED Control Group Seminars
Frequency domain tools for the analysis of Lur'e feedback dominant systems
CUED Control Group Seminars
Smooth Operators Enhance Robustness
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Attasi ND systems, polynomial system solving and algebraic optimization
Microsoft Research Cambridge, public talks
Open Evening for Women in Engineering
Machine Learning @ CUED
A Bayesian Treatment for Uncertainty -- and its application in health care
Frontiers in Artificial Intelligence Series
Probabilistic and Deep Models for 3D Reconstruction
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Machine Learning @ CUED
Unbiased Estimation of the Eigenvalues of Large Implicit Matrices
Machine Learning @ CUED
The Grammar Variational Autoencoder & Counterfactual Fairness
Microsoft Research Cambridge, public talks
Manifest Sharing with Session Types
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Machine Learning @ CUED
Accelerating computation of SVM and DNN by binary approximation
Machine Learning @ CUED
Towards User-Friendly Image Inpainting: Learning-to-Rank based Image Quality Assessment for Image Inpainting
Machine Learning @ CUED
Deep learning for autonomous driving
Bio-Inspired Robotics Lab (BIRL) Seminar Series
Affective computing for assessing treatments in psychiatry
Frontiers in Artificial Intelligence Series
Coin Betting for Backprop without Learning Rates and More
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Frontiers in Artificial Intelligence Series
How Can NLP Help Cure Cancer?
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Machine Learning @ CUED
Understanding Black-box Predictions via Influence Functions
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
A simple neural network module for relational reasoning
Machine Learning @ CUED
Future technology: machine learning using memristors networks
Machine Learning @ CUED
Future technology: machine learning using memristors networks
CUED Control Group Seminars
OSQP: An Operator Splitting Solver for Quadratic Programs
Computational Neuroscience
Computational Neuroscience Journal Club
Probabilistic Systems, Information, and Inference Group Seminars
Biological Systems as Communication Networks
Bio-Inspired Robotics Lab (BIRL) Seminar Series
Simulating Fetal Sensory-Motor Experiences and Embodied Neural Learning
Computational Neuroscience
motifNet: Deep learning for system identification of regulatory networks
Computational Neuroscience
Neural network models of free recall and spatial navigation
Computational Neuroscience
Inferring decision rules from evidence, choice, and reaction times
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Excitable behaviors
Microsoft Research Cambridge, public talks
AI and Healthcare Open Evening at Microsoft Research
CUED Control Group Seminars
Low-Rank Inducing Norms with Optimality Interpretations
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Distributed schemes for stability and optimality in power networks
Machine Learning @ CUED
On Different Distances Between Distributions and Generative Adversarial Networks
Microsoft Research Cambridge, public talks
Composition and Inheritance in Declarative Configuration Languages
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Microsoft Research Cambridge, public talks
Composition and Inheritance in Declarative Configuration Languages
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Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Performance Verification and Optimal Synthesis of Embedded Optimization-Based Controllers
CUED Control Group Seminars
Verification of Control Laws Using Formal Methods
Adrian Seminars in Neuroscience
Decoding the population activity of grid cells for spatial localization and goal-directed navigation
Bio-Inspired Robotics Lab (BIRL) Seminar Series
A Novel Bioinspired Variable Stiffness Design Concept - Bridging the gap between Soft and Traditional Robotics
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Nuclear norm methods for frequency domain system identification
Frontiers in Artificial Intelligence Series
Nonlinear ICA using temporal structure: a principled framework for unsupervised deep learning
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CUED Speech Group Seminars
Situated Intelligent Interactive Systems
Microsoft Research Cambridge, public talks
Microsoft & the Future of Education Technology & Learning
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Probabilistic Systems, Information, and Inference Group Seminars
Title to be confirmed
Probabilistic Systems, Information, and Inference Group Seminars
Title to be confirmed
Probabilistic Systems, Information, and Inference Group Seminars
Title to be confirmed
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Study Group
Deep Learning Book - Meeting 9 - Representation Learning
Microsoft Research Cambridge, public talks
Predicting 3D Volume and Depth from a Single View
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Microsoft Research Cambridge, public talks
Predicting 3D Volume and Depth from a Single View
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Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Study Group
Deep Learning Book - Meeting 8 - Autoencoders
Probabilistic Systems, Information, and Inference Group Seminars
Sparse trees and long memory: Bayesian inference for discrete time series
Microsoft Research Cambridge, public talks
Security and Privacy in Machine Learning
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Microsoft Research Cambridge, public talks
Security and Privacy in Machine Learning
β οΈ Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks
Generalizing Convolutions for Deep Learning
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Probabilistic Systems, Information, and Inference Group Seminars
Facets of Information Theory
Machine Learning Study Group
Deep Learning Book - Meeting 7 - Neural Turing Machines & Conditional Random Fields as RNNs
Machine Learning Reading Group @ CUED
Kernel Mean Embeddings
Information Engineering Division seminar list
Bayesian Optimization for Probabilistic Programs
Machine Learning Study Group
Deep Learning Book - Meeting 6 - Recurrent Neural Networks
Machine Learning @ CUED
Differentially Private Bayesian Learning
Computational and Biological Learning Seminar Series
Control, inference and learning
Machine Learning Reading Group @ CUED
Differential Privacy
Machine Learning @ CUED
Differential Privacy Tutorial
Computational Neuroscience
Computational Neuroscience Journal Club
Bio-Inspired Robotics Lab (BIRL) Seminar Series
Skinning a robot: Design Methodologies for Large-Scale Robot Skin
Microsoft Research Cambridge, public talks
Disrupting Developer Productivity One Bot At A Time, Margaret-Anne (Peggy) Storey, University of Victoria / Microsoft TSE
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CUED Control Group Seminars
Designing Bregman storage functions for microgrid control
Machine Learning Study Group
Deep Learning Book - Meeting 5 - ResNets and DenseNets
CUED Control Group Seminars
A missing data approach to data-driven filtering and control
CUED Speech Group Seminars
Statistical Spoken Dialogue Systems and the Challenges for Machine Learning
CUED Control Group Seminars
Transfer functions of infinite-dimensional systems: positive realness, stabilization and absolute stability
Machine Learning @ CUED
Cooperative Inverse Reinforcement Learning
Machine Learning Study Group
Deep Learning Book - Meeting 4 - Convolutional Networks
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Dynamic reorganization of neuronal activity patterns in parietal cortex
CUED Control Group Seminars
Positivity, Monotonicity, and Consensus on Lie Groups
Machine Learning Reading Group @ CUED
Probabilistic Numerics
Machine Learning Study Group
Deep Learning Book - Meeting 3 - Optimization
Probabilistic Systems, Information, and Inference Group Seminars
Bilinear Inverse Problems: How much does structure help? (Leverhulme Lecture)
Machine Learning @ CUED
Bayesian optimisation in many dimensions with bespoke probabilistic programs
CUED Control Group Seminars
A Control Systems Perspective on Supercapacitor Modelling and Design
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Study Group
Deep Learning Book - Meeting 2 - Regularization
Machine Learning Study Group
Deep Learning Book - Meeting 1 - Deep Feedforward NNs
Machine Learning @ CUED
Variational Bayes In Private Settings
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Julia: Introduction and new developments
Machine Learning Reading Group @ CUED
NIPS 2016 papers in 5mins
Probabilistic Systems, Information, and Inference Group Seminars
Models and Capacity Bounds for Optical Fibre Channels
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Bayesian optimality and frequentist extended admissibility are equivalent in saturated models
Machine Learning @ CUED
Hierarchical Multi-Agent Reinforcement Learning through Communicative Actions for Human-Robot Collaboration
Machine Learning @ CUED
Variational autoencoders with latent graphical models
Probabilistic Systems, Information, and Inference Group Seminars
High Resolution Optical and SAR Satellite Image Processing for Disaster Management using Hierarchical MRFs
Machine Learning Reading Group @ CUED
Symmetry in Statistical Models
Machine Learning @ CUED
Learning with limited supervision
Microsoft Research Cambridge, public talks
Well-founded functions, induction, and extreme predicates in an SMT-based verifier
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Microsoft Research Cambridge, public talks
Well-founded functions, induction, and extreme predicates in an SMT-based verifier
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CUED Control Group Seminars
Substrate Enzyme-Sequestration in Multisite Protein Phosphorylation - Introducing WCDD M-matrices in designing stationary probability distributions
Machine Learning Reading Group @ CUED
Bayesian Optimization
Machine Learning @ CUED
A tale of P-matrices and TripleSpinners - the unreasonable effectiveness of structured models in nonlinear embeddings
Microsoft Research Cambridge, public talks
Engineering the Future: Engineering in Artificial Intelligence at Microsoft Research Cambridge
CUED Control Group Seminars
On structure preserving H-infinity optimal control
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Rejection Sampling Variational Inference
CUED Control Group Seminars
Bayesian Optimization for Accelerated Exploration of Chemical Space
Machine Learning Reading Group @ CUED
deep generative models
Computational Neuroscience
Neural representations of uncertainty: the right tool for the right job
Machine Learning @ CUED
Probabilistic Numerical Computation: A New Concept?
Computational Neuroscience
Prospective coding by spiking neurons
Computational Neuroscience
Grid cells get back to the memory game
CUED Control Group Seminars
Controllability and stabilizability of piecewise affine dynamical systems
Machine Learning Reading Group @ CUED
Sketching methods
Microsoft Research Cambridge, public talks
Flexible Paxos
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Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
A talk in two parts: (1) AI Neuroscience: How much do deep neural networks understand about the images they classify? (2) Robots that can adapt like animals.
β οΈ Note venue: James Dyson Building
CUED Control Group Seminars
Semidefinite approximations of matrix logarithm
Machine Learning Reading Group @ CUED
A crash-course on Bayesian Reinforcement Learning
Machine Learning @ CUED
Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models
Microsoft Research Cambridge, public talks
Unsupervised Cluster Matching for Relational Data
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Machine Learning @ CUED
Robots learning on the move: deep learning from lots of demonstration
Microsoft Research Cambridge, public talks
Developing PDE-compartment hybrid frameworks for modelling cell migration
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Microsoft Research Cambridge, public talks
Developing PDE-compartment hybrid frameworks for modelling cell migration
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CUED Speech Group Seminars
Investigating the interdependencies between DNN architectures and optimisation methods for Large Vocabulary Speech Continuous Speech Recognition
Probabilistic Systems, Information, and Inference Group Seminars
Tracking intentionality using behavioural models and Bayesian methods.
Machine Learning @ CUED
Probabilistic modeling for position and orientation estimation using inertial sensors
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Computing In Schools: How Your Skills Can Change Lives
CUED Control Group Seminars
Information and Entropy Flow in Stochastic Control
Machine Learning @ CUED
Moment matching for latent variable models: from ICA to LDA and CCA
Computational Neuroscience
Computational Neuroscience Journal Club
Probabilistic Systems, Information, and Inference Group Seminars
Multi-band Image Super-resolution
Computational Neuroscience
Computational Neuroscience Journal Club
Probabilistic Systems, Information, and Inference Group Seminars
Algorithms and bounds for group testing
Microsoft Research Cambridge, public talks
Queueing with Redundant Requests: A more realistic model
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Machine Learning @ CUED
Multiresolution Matrix Factorization
Machine Learning @ CUED
Dynamic Models for Health Data
Bio-Inspired Robotics Lab (BIRL) Seminar Series
Safety compliant assistive exoskeletons for AAL applications
Bio-Inspired Robotics Lab (BIRL) Seminar Series
Nonparametric Bayesian Word Discovery by Robots: Introduction to Symbol Emergence in Robotics
Machine Learning @ CUED
Learning with Memory Embeddings
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
"Womenomics" and Gender-Inclusive Software: What the Software Industry Needs to Know
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Machine Learning @ CUED
Data Driven Discrete Time Modeling of Continuous Time Nonlinear Systems: Problems, Challenges, Success Stories
Microsoft Research Cambridge, public talks
Horn Clauses for Verification and Synthesis
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Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
Very deep convolutional neural networks for speech recognition
Computational and Biological Learning Seminar Series
Internal models and the neural control of prey interception
Microsoft Research Cambridge, public talks
Managing Privacy Tradeoffs in the Internet
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Machine Learning @ CUED
Inference as Learning
Microsoft Research Cambridge, public talks
Reflections on Code-Reuse Attacks and Defenses
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Machine Learning @ CUED
Interpretable and interactive machine learning
Machine Learning @ CUED
Discriminative Embeddings of Latent Variable Models for Structured Data
Microsoft Research Cambridge, public talks
Verifying Constant-Time Implementations
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Machine Learning @ CUED
Structured Dynamic Graphical Models & Scaling Multivariate Time Series Methodology
CUED Control Group Seminars
Mean Field Games and the Control of Large Scale Systems: An Overview
Microsoft Research Cambridge, public talks
An introduction to program verification with F*
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Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Scaling and Generalizing Approximate Bayesian Inference
Communications Research Group Seminar
Cluster-Seeking Shrinkage Estimators
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
Don't multiply lightly: exploring how DNN depth interacts with HMM independence assumptions in hybrid HMM/DNN's used for ASR
Microsoft Research Cambridge, public talks
Practical Statically-checked Deterministic Parallelism
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Microsoft Research Cambridge, public talks
Summer of Science Talks: An Introduction to Discrete Geometry, with application to the Principles of Concurrent Programming
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Computational Neuroscience
A decision-theoretic framework for active cognition
Computational Neuroscience
Computational Neuroscience Journal Club
arg58's list
A modular architecture for Unicode text compression
CUED Control Group Seminars
Itβs not MPC! An Explicit Reference Governor for the supervision of constrained nonlinear systems
β οΈ Room and time changed
Probabilistic Systems, Information, and Inference Group Seminars
Exploiting Asymptotic Structure for Resolution Enhancement in Physical Imaging Systems
Machine Learning @ CUED
Modeling the Dynamics of Online Learning Activity
Machine Learning @ CUED
Developments in Exact Inference in Graphical Models
Machine Learning @ CUED
Approximation strategies for structure learning in Bayesian networks
β οΈ Note: via Skype!
Machine Learning @ CUED
Automated Reasoning and AI for Large Formal Mathematics
Probabilistic Systems, Information, and Inference Group Seminars
Shrinkage Estimation in High Dimensions
Machine Learning Reading Group @ CUED
Partially Observable Markov Decision Processes (POMDPs)
Machine Learning @ CUED
Variational inference for scalable Gaussian process approximations
Machine Learning @ CUED
Novel MCMC and SMC schemes for Poisson-Kingman Bayesian Nonparametric mixture models
Machine Learning @ CUED
Turing: Rejuvenating Probabilistic Programming in Julia
Computational Neuroscience
Perceptual decision-making: models of the decision-making process and formulation of uncertainty
Computational Neuroscience
Towards a theory of layered neural circuit architectures
Machine Learning @ CUED
Towards Weaker Supervision and Simpler Pipelines in Speech Recognition
Probabilistic Systems, Information, and Inference Group Seminars
Adaptive Group Sparsity Using the Ordered Weighted l1 Regularizer
Machine Learning Reading Group @ CUED
Learning polynomials with Neural Networks
CUED Control Group Seminars
Algebraic methods for parameter-free analysis of biochemical networks
Machine Learning @ CUED
Sum-Product Networks for Probabilistic Modeling
Craik Club
Perception as a closed-loop convergence process
β οΈ The host for this talk is MΓ‘tΓ© Lengyel. Note the unusual time and the unusual location
Microsoft Research Cambridge, public talks
Resource Allocation for Next Generation of Radio Access Networks: how effective are my schedulers?
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Probabilistic Systems, Information, and Inference Group Seminars
Approximate Smoothing and Parameter Estimation in High-Dimensional State-Space Models
Machine Learning @ CUED
MLE-Struct: Bethe Learning of Graphical Models
CUED Control Group Seminars
Quantum control and quantum synchronization
CUED Control Group Seminars
Bounded Control that Preserves System Stability and its Applications
Computational and Biological Learning Seminar Series
A role for circadian rhythms in maintaining neuronal properties
Machine Learning Reading Group @ CUED
An introduction to Bayesian nonparametrics: some inference schemes for infinite mixture models
Microsoft Research Cambridge, public talks
Turbocharging Rack-Scale In-Memory Computing with Scale-Out NUMA
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Methodology in design research
Mapping and risk in healthcare
Computational and Biological Learning Seminar Series
From Sensation to Conception: Theoretical Perspectives on Multisensory Perception and Cross-Modal Transfer
Machine Learning Reading Group @ CUED
Topics in Expectation Propagation
CUED Control Group Seminars
Design Considerations for Economic MPC
Microsoft Research Cambridge, public talks
Engineering the Future: an open evening for women in engineering
Microsoft Research Cambridge, public talks
Admitting more tenants with tail latency SLOs
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Microsoft Research Cambridge, public talks
PCC: Re-architecting Congestion Control for Consistent High Performance
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Machine Learning Reading Group @ CUED
Deep Q-Learning and AlphaGo
CUED Control Group Seminars
Architectural Issues in the Design of Model Predictive Control: From Centralized to Distributed
Probabilistic Systems, Information, and Inference Group Seminars
Scalable inference for a full multivariate stochastic volatility model
Computational Neuroscience
Synaptic origins of working memory capacity
Microsoft Research Cambridge, public talks
Large-Scale Camera Pose Voting and the Geometric Burstiness Problem
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Microsoft Research Cambridge, public talks
Large-Scale Camera Pose Voting and the Geometric Burstiness Problem
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CUED Computer Vision Research Seminars
Large-Scale Camera Pose Voting and the Geometric Burstiness Problem
Communications Research Group Seminar
DNA Fountain channels
Machine Learning Reading Group @ CUED
inference failures in probabilistic programming
CUED Control Group Seminars
A Bayesian Approach to Molecular Communication
Computational and Biological Learning Seminar Series
Perspectives on Designing Optimal User Interfaces
Machine Learning Reading Group @ CUED
Variational Methods and Compressed Sensing
CUED Computer Vision Research Seminars
Large-Scale Camera Pose Voting and the Geometric Burstiness Problem
Machine Learning @ CUED
Inference and Learning in the Anglican Probabilistic Programming System
Machine Learning Reading Group @ CUED
Fast Fusion of Multi-band Images: A Powerful Tool for Super-resolution
Microsoft Research Cambridge, public talks
Pony: Co-Designing a Type System and a Runtime
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Microsoft Research Cambridge, public talks
General-purpose representation learning from words to sentences
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Methodology in design research
Uncertainty Quantification in Computational Flow Physics
Computational and Biological Learning Seminar Series
Approximate Message Passing Algorithms
Microsoft Research Cambridge, public talks
Information-Theoretic Bounded Rationality
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Computational Neuroscience
Brain State Control by Closed-Loop Environmental Feedback
Probabilistic Systems, Information, and Inference Group Seminars
Ocean Heat and Hot air (with apologies to David MacKay)
Machine Learning @ CUED
Unsupervised Risk Estimation with only Structural Assumptions
Computational Neuroscience
The stabilized supralinear network: A simple "balanced network" mechanism explaining nonlinear cortical integration
Computational Neuroscience
It's the Network Dummy: Exhuming the reticular theory while shoveling a little dirt on the neuron doctrine
Microsoft Research Cambridge, public talks
Stamping Out Concurrency Bugs
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Microsoft Research Cambridge, public talks
Parallel Inference and Learning with Deep Structured Distributions
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CUED Control Group Seminars
Communities and privacy in mobile phone social networks
Machine Learning @ CUED
The geometry of uncertainty
Methodology in design research
Optimization
Methodology in design research
Optimization
Microsoft Research Cambridge, public talks
Into the Mountains: The Extraordinary True Story of Survival in the Andes and its Aftermath
CUED Control Group Seminars
Isolating Invisible Dynamics in the Design of Robust Hybrid Internal Models
Machine Learning Reading Group @ CUED
Probabilistic programming
CUED Control Group Seminars
Model Predictive Control for changing operation conditions
Methodology in design research
System modelling using post-it notes
Bio-Inspired Robotics Lab (BIRL) Seminar Series
Soft & Wet Chemical Robots
Machine Learning Reading Group @ CUED
Learning by learning rich generative models
Methodology in design research
Inspiration on design fixation
Methodology in design research
'Designing in' informal interaction in bioscience architecture: design intent and scientists' practices
Microsoft Research Cambridge, public talks
Freeform interactions and disrupted displays
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Machine Learning @ CUED
A more Automated Statistician
Microsoft Research Cambridge, public talks
Regularized Optimal Transport and Applications
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Machine Learning Reading Group @ CUED
Natural gradient descent and variational inference
CUED Control Group Seminars
Stability and power sharing in microgrids
Computational Neuroscience
Probabilistic synapses
Machine Learning Reading Group @ CUED
Differentiable Data Structures and (if we have time) POMDPs
β οΈ NOTE Topic Change
CUED Control Group Seminars
Computable analysis and control synthesis of complex dynamical systems via formal verification
Methodology in design research
Intelligent Inclusive Human Machine Interaction
CUED Computer Vision Research Seminars
Long-term tracking of human pose in videos
Darwin College Lecture Series
Games in Sports
CUED Control Group Seminars
Variational Inference in Gaussian Processes for non-linear time series
Methodology in design research
Comparing and sharing complex design practices accross domains
Methodology in design research
How to help stakeholders of socio-technical systems understand resilience
Microsoft Research Cambridge, public talks
What I Learned From Inventing Scala Macros?
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Microsoft Research Cambridge, public talks
What I Learned From Inventing Scala Macros?
β οΈ Please be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
CUED Computer Vision Research Seminars
Machine Learning Techniques for 3D Registration with Images
Machine Learning Reading Group @ CUED
Random projection ensemble classification
Machine Learning Reading Group @ CUED
Deep learning for time series
CUED Control Group Seminars
Decomposition and Structured Model Reduction for Large Scale Systems Analysis
Microsoft Research Cambridge, public talks
Opportunistic Storage Maintenance (SOSPβ15)
Machine Learning Reading Group @ CUED
Stochastic discrete integration
CUED Control Group Seminars
Integral Quadratic Constraint Theorem: A topological separation approach
Microsoft Research Cambridge, public talks
End-user programmers need first-class software engineering tools
Bio-Inspired Robotics Lab (BIRL) Seminar Series
Robotics in Agriculture
Microsoft Research Cambridge, public talks
Verasco, a formally verified C static analyzer
β οΈ Please be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks
Formalising and Analysing Transactional Consistency Models
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Microsoft Research Cambridge, public talks
Synthesising Gene Regulatory Networks from Single-Cell Gene Expression Data
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Microsoft Research Cambridge, public talks
Symbiotic design for machine intelligence systems
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Machine Learning @ CUED
General Reinforcement Learning
Microsoft Research Cambridge, public talks
A Decade of Thrill
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Computational Neuroscience
The contribution of millisecond spike timing of cortical neurons to sensory coding and perceptual decisions
Microsoft Research Cambridge, public talks
Model-Based Hand Tracking with Texture, Shading and Self-occlusions
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Microsoft Research Cambridge, public talks
A Constructive Approach to Secure-Channel Protocols
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Microsoft Research Cambridge, public talks
Activity recognition in naturalistic environments
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Bio-Inspired Robotics Lab (BIRL) Seminar Series
Bio-inspired small scale manufacturing by self-assembly and self-folding
Bio-Inspired Robotics Lab (BIRL) Seminar Series
Sustainable robotic devices for personalized medical assistance
Machine Learning Reading Group @ CUED
Stochastic optimization and adaptive learning rates
CUED Control Group Seminars
Electron beam stabilisation for a synchrotron: An example of the control of spatio-temporal systems
Microsoft Research Cambridge, public talks
Modern Deep Learning through Bayesian Eyes
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
On the Nonlinear Dynamics of Collective Decision-Making in Nature and Design
Machine Learning Reading Group @ CUED
Logic, Theorem Proving, and Probabilistic Programming
Microsoft Research Cambridge, public talks
From Boolean to Quantitative Methods in Formal Verification
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Probabilistic Systems, Information, and Inference Group Seminars
Cloud Radio Access Networks: Challenges and (Some) Solutions
CUED Control Group Seminars
Transferring the Principles of Human Impedance Control to Soft Robotic Systems
Machine Learning Reading Group @ CUED
Connections between kernels, GPs, and NNs
Probabilistic Systems, Information, and Inference Group Seminars
Gain from Multiple Measurements: Measurement Diversity and Resource Allocation
CUED Control Group Seminars
Path-complete Lyapunov techniques: when Algebra and Combinatorics meet in Control
CUED Speech Group Seminars
Towards Advanced Conversational Systems
Machine Learning @ CUED
Inference of a partially observed kinetic Ising model
Computational Neuroscience
Computational Neuroscience Journal Club
Bio-Inspired Robotics Lab (BIRL) Seminar Series
Robotics and Space Engineering in Tohoku University
Bio-Inspired Robotics Lab (BIRL) Seminar Series
Robotic Approaches in Locomotor Biology
Machine Learning Reading Group @ CUED
Detecting paraphrases using recursive autoencoders
CUED Control Group Seminars
Optimal control of wave energy converters
CUED Speech Group Seminars
What the DNN heard? Dissecting the machine brain for a better insight.
Probabilistic Systems, Information, and Inference Group Seminars
Non-stationary Network Modelling by Particle Filtering: case of Gene Interaction Networks
Machine Learning Reading Group @ CUED
Bayesian optimization and its applications
Probabilistic Systems, Information, and Inference Group Seminars
Capturing Accurate Colour Images
CUED Control Group Seminars
Sum of squares programming for discrete-time non-linear systems - with application to power converters
Computational Neuroscience
Computational Neuroscience Journal Club
Bio-Inspired Robotics Lab (BIRL) Seminar Series
Evolving robotic ecosystems in real hardware
Machine Learning Reading Group @ CUED
LP relaxations for MAP inference
CUED Control Group Seminars
Stability of Reaction Networks: A System-Theoretic Approach
Microsoft Research Cambridge, public talks
Rethinking Storage and Networking in Next Generation Racks
Bio-Inspired Robotics Lab (BIRL) Seminar Series
AmphiBot and Salamandra robotica: four generations of modular amphibious and swimming robots
Probabilistic Systems, Information, and Inference Group Seminars
Construction of Capacity-Achieving Lattice Codes: Polar Lattices
Probabilistic Systems, Information, and Inference Group Seminars
A Novel Application of Information Theory in Heart Sound Signal Analysis for Cardiovascular Disease Diagnosis
Machine Learning @ CUED
Meta-Bayesian Analysis
Computational Neuroscience
Approximate nonlinear filtering with a neural network
Machine Learning @ CUED
Efficient Inference and Learning with Intractable Posteriors? Yes, Please.
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Daleβs principle and the neural processing of latent factors
Probabilistic Systems, Information, and Inference Group Seminars
Characterizing degrees of freedom through additive combinatorics
CUED Control Group Seminars
Input allocation using dynamics: theory and applications
Microsoft Research Cambridge, public talks
Talking with Reddit: Exploring limitations of recurrent neural network conversational systems.
Computational Neuroscience
Decoding of complex stimuli from large retinal populations
Computational Neuroscience
Complementary approaches to Synaptic Plasticity: Objective Functions and Biophysics
Microsoft Research Cambridge, public talks
Microsoft Distinguished Research Lecture: What are the Prospects for Automatic Theorem Proving?
Microsoft Research Cambridge, public talks
Incremental Neuroevolution of Reactive and Deliberative 3D Agents
Microsoft Research Cambridge, public talks
Title to be confirmedMaking sense of language: It's okay to count
Machine Learning @ CUED
Efficient multi-task Gaussian process models for genome-wide association studies
Microsoft Research Cambridge, public talks
Probabilistic Line Searches for Stochastic Optimisation.
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Microsoft Research Cambridge, public talks
The structures of induction and co-induction.
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Probabilistic Systems, Information, and Inference Group Seminars
Eye Gaze Tracking
Microsoft Research Cambridge, public talks
Human factors of software updates
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Harmonic Exponential Families and Group-Equivariant Convolution Networks
Machine Learning @ CUED
Higher Order Fused Regularization for Supervised Learning with Grouped Parameters
Machine Learning @ CUED
A-Star Sampling Review
Machine Learning @ CUED
Convex Factorization Machines
Microsoft Research Cambridge, public talks
A Program Logic for Concurrent Objects under Fair Scheduling
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Belief and Truth in Hypothesised Behaviours
Machine Learning @ CUED
Training and Understanding Deep Neural Networks for Robotics, Design, and Perception
Microsoft Research Cambridge, public talks
The Power of Negations in Cryptography
Microsoft Research Cambridge, public talks
The Power of Negations in Cryptography
Microsoft Research Cambridge, public talks
Computer-aided Concurrent Programming using Concurrent Trace Sets
Microsoft Research Cambridge, public talks
Towards Cross-fertilization Between Propositional Satisfiability and Data Mining
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Information-Theoretic Bounded Rationality
Microsoft Research Cambridge, public talks
Executable Relational Specifications of Polymorphic Type Systems using Prolog
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
On the Relation between Optimal Transport and Schroedinger Bridges: A Control Perspective
CUED Control Group Seminars
Hard limits on robust control over delayed and quantized communications
Machine Learning @ CUED
The limits of MAP inference by MWSS on perfect graphs
Microsoft Research Cambridge, public talks
"Protecting the forward edge: Is that light at the end of the tunnel?"
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Microsoft Research Cambridge, public talks
Plug into the Supercloud
β οΈ This event may be recorded and made available internally or externally viaΒ http://research.microsoft.com.Β Β Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendi
Computational Neuroscience
A normative account of episodic memory in online learning over open model spaces
Probabilistic Systems, Information, and Inference Group Seminars
Bayesian estimation for multi-object systems
CUED Computer Vision Research Seminars
Visualizing and Understanding Recurrent Networks
β οΈ Any further queries regarding meeting, please direct them to Ankur Handa ah781@cam.ac.uk
Machine Learning @ CUED
Scalable Gaussian Processes for Scientific Discovery
Machine Learning @ CUED
MCMC for non-linear state space models using ensembles of latent sequences
β οΈ (via Skype!)
Microsoft Research Cambridge, public talks
Giorgia Azzurra Marson
Machine Learning @ CUED
Gradient-based hyperparameter optimization through reversible learning
Machine Learning @ CUED
Rich Component Analysis
Machine Learning @ CUED
A new MCMC hybrid scheme for Poisson-Kingman Bayesian Nonparametric mixture models
Microsoft Research Cambridge, public talks
Solving Second-Order Constraints with Program Synthesis
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Capturing and simulating the interaction of light with the world around us.
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Standing on the Shoulders of a Giant: One Personβs Experience of Turingβs Impact
β οΈ talkscam@microsoft.com
Computational Neuroscience
Contextual modulation of gamma rhythms in inhibition stabilized cortical networks
Microsoft Research Cambridge, public talks
Bonsai: Reactive Tools for Data Science
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Modeling Confounding by Half-Sibling Regression
β οΈ SHORT TALK (20 minutes)
Machine Learning @ CUED
Extreme Classification: A New Paradigm for Ranking & Recommendation
Machine Learning @ CUED
Convex and non-convex worlds in machine learning
Machine Learning @ CUED
Random Function Classes for Machine Learning
Machine Learning @ CUED
Explaining Non-Linear Classifier Decisions with application to Deep Learning
Machine Learning @ CUED
Deep Gaussian processes and variational propagation of uncertainty
Microsoft Research Cambridge, public talks
Rendering Eyes for Eye-Tracking
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Generative Models for Shape and Appearance
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Deep Learning
Computational Neuroscience
A three-threshold learning rule approaches the maximal capacity of recurrent neural networks
Computational Neuroscience
The statistical structure of noise in large neural populations
Machine Learning @ CUED
Random Function Classes for Machine Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Asynchronized Concurrency: The Secret to Scaling Concurrent Search Data Structures
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Unsupervised Learning with Latent Variable Models
Machine Learning @ CUED
Unsupervised Learning with Latent Variable Models
Microsoft Research Cambridge, public talks
VISC: VIRTUAL INSTRUCTION SET COMPUTING
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Structural Markov laws / Geometry and HMC
Machine Learning @ CUED
Mean Field Approaches to Two Sequential Decision Making Problems.
β οΈ This talk will be given via Skype
Microsoft Research Cambridge, public talks
Intelligible Machine Learning Models for HealthCare
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Koopman Operator Theory for Dynamical Systems and Control Practice
Machine Learning @ CUED
Do Deep Nets Really Need to be Deep?
CUED Control Group Seminars
Scalable design of heterogeneous networks
Probabilistic Systems, Information, and Inference Group Seminars
Factor Graph Transforms
Probabilistic Systems, Information, and Inference Group Seminars
Multilevel sequential Monte Carlo Samplers.
Communications Research Group Seminar
q-ary channel polarization on monoids
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Rogue states: altered dimensionality of neural circuit activity in Fragile-X mice
Machine Learning Reading Group @ CUED
Convolutional Neural Networks
CUED Control Group Seminars
Nonlinear Observers with a Contracting Riemannian Distance
Probabilistic Systems, Information, and Inference Group Seminars
Recent Advances in Information Processing
Microsoft Research Cambridge, public talks
Microsoft Distinguished Research Lecture: Toward Causal Machine Learning
Machine Learning Reading Group @ CUED
Hessian-free Optimisation for Neural Networks
CUED Computer Vision Research Seminars
From rats to robot navigation and beyond
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Probabilistic numerics: treating numerical computation as learning, or; it's Bayes all the way down
Machine Learning Reading Group @ CUED
Scalable MCMC
Microsoft Research Cambridge, public talks
Queues donβt matter when you can Jump them!
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
Inferring Cancer Evolution
CUED Control Group Seminars
Stability, Synchronisation and Model Reduction in Nonlinear Systems
Machine Learning @ CUED
Machine Learning for Quantitative Finance: A collaboration between the Cambridge Machine Learning Group and Cambridge Capital Management
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Declarative query processing in imperative managed runtimes
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
"... and then just encode it to SAT."
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Causal Inference
Machine Learning @ CUED
Title to be confirmed
Microsoft Research Cambridge, public talks
Enabling Connected Cars through Named Data.
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Probability and Prejudice: Bridging the Gap Between Machine Learning and Programming Languages
Machine Learning Reading Group @ CUED
Gaussian Process Models for Time Series
Machine Learning @ CUED
Inference for infinite mixture models and Gaussian Process mixtures of experts using simple approximate MAP Inference
Microsoft Research Cambridge, public talks
Formal verification approach to modelling biochemical systems
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Big Dream Documentary Screening and Q&A Panel
CUED Control Group Seminars
Fractional calculus in control applications
Microsoft Research Cambridge, public talks
An Efficient Solver for string and regular expression constraints
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Whoβs Afraid of Fractional Order Laplace?
Machine Learning Reading Group @ CUED
Informational Geometry
CUED Control Group Seminars
Generalized Gauss and Expectation Inequalities via Semidefinite Programming
Microsoft Research Cambridge, public talks
A Visual Programming Language for building Artificial Biochemistries in Haskell
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Unveiling the Secrets of High-Performance Datacenters
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Deep Gaussian Processes
Communications Research Group Seminar
Why I thought frame synchronisation was the most boring problem in the world and why I am beginning to change my mind
Machine Learning Reading Group @ CUED
Combinatorial Stochastic Processes in Bayesian Nonparametrics
Machine Learning @ CUED
Evolutionary dynamics in a continuous public goods game
Microsoft Research Cambridge, public talks
Pushing the Limits of Localization and Capacity in Today's Wi-Fi Networks
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Social Media Predictive Analytics: Methods and Applications
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Can you convince me why your software works?
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
An introduction to the Mondrian Process
CUED Computer Vision Research Seminars
Learning visual representations
Microsoft Research Cambridge, public talks
Convex low-rank models: from matrices to tensors
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Relational Machine Learning for Knowledge Graphs.
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Supporting the Mobile Nomadic User through Projected User Interfaces
Microsoft Research Cambridge, public talks
Ensembles for Discovery of Compact Structures and Learning Back-propagation Forests.
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Content Placement as a Key to Leveraging Geo-Distributed Infrastructures
β οΈ o This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Microsoft Research Cambridge, public talks
Text To Programs: Automating Computer Tasks from Natural Language Descriptions
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Speech Group Seminars
Dynamic Topic Adaptation for Statistical Machine Translation
β οΈ Sandwich lunch from 13:00
Microsoft Research Cambridge, public talks
Automatic differentiation and machine learning
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Supporting Proxemic Interactions with Multi-Scale Electric Field Sensing
Microsoft Research Cambridge, public talks
Supporting Proxemic Interactions with Multi-Scale Electric Field Sensing
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Programming and Proving with Fine-Grained Concurrent Resources
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Dopamine - beyond reward?
Machine Learning @ CUED
Population Inference for Functional Brain Connectivity
Microsoft Research Cambridge, public talks
Design and Evaluation of Proxemic-Aware Environments to Support Epistemic Activities
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Workshop: Machine Learning in Cambridge 2015
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Probabilistic approaches to understanding bird conversations
Microsoft Research Cambridge, public talks
Death, Identity, and the Social Network
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Considering Tools for Artists, Creative Processes, and Design Ideation
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
A* Sampling
Microsoft Research Cambridge, public talks
Beyond acceleration: time, narratives, and the design of multiple worlds
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Un-Computing: Shaking off the βComputerβ Baggage
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Solving QBF by Counterexample-Guided Abstraction Refinement
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Protecting encrypted cookies from compression side-channel attacks
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Context-aware programming languages
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Towards Full-Stack Security Analysis of Web Applications
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
Using random linear network coding in dynamic storage environments
Microsoft Research Cambridge, public talks
The Difficulty of Preventing Code Reuse Attacks
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Modeling, Quantifying, and Limiting Adversary Knowledge
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Variance Reduction Techniques and Stochastic Optimisation for Monte Carlo
CUED Control Group Seminars
Data-driven Nonlinear Control Design Using Robust Adaptive Dynamic Programming
Microsoft Research Cambridge, public talks
Concurrent Algorithms for Emerging Hardware Platforms
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Orthologous networks in biological systems
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
Human-like singing and talking machines: flexible speech synthesis in karaoke, anime, smart phones, video games, digital signage, TV and radio programs, etc.
β οΈ Sandwich lunch from 13:00
Probabilistic Systems, Information, and Inference Group Seminars
Some applications of multispectral reflectance imaging in biological materials and industrial surface coatings
Microsoft Research Cambridge, public talks
The Turing trap. How the universal computer is making the internet less secure.
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Meta-Interpretive Learning and Program Induction
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Manifold correspondence: a signal processing perspective
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Predictable and Dependable Low-power Wireless Networks
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Engineering at Microsoft Research - Open Evening
Probabilistic Systems, Information, and Inference Group Seminars
Bayesian Fusion of Hyperspectral and Multispectral images
Microsoft Research Cambridge, public talks
Laws of Programming with Concurrency
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Microsoft Distinguished Research Lecture - Laws of Programming with Concurrency
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Transfer Learning
Probabilistic Systems, Information, and Inference Group Seminars
A Bayesian approach to multicanonical Markov chain Monte Carlo
Microsoft Research Cambridge, public talks
Causal Inference and Domain Adaptation
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Latent Branching Trees
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Cutting tail latency in cloud data stores via adaptive replica selection
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Genome-wide transcriptional control of blood cell type identity
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Experiments with Non-parametric Topic Models
Machine Learning Reading Group @ CUED
Advanced HMC
Computational Neuroscience
Computational Neuroscience Course (4G3)
β οΈ 4G3 course -- repeats every Wed at 12noon, and Fri at 11am during Lent
Microsoft Research Cambridge, public talks
Democratizing Electronics: Tools, Examples, and Contexts for Supporting the Construction of Personally-Meaningful Interactive Artifacts
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Model-Based Prediction Augmented with Sensing Techniques for Battery Management Systems
Machine Learning Reading Group @ CUED
Active Learning
Microsoft Research Cambridge, public talks
Dynamic PDP vs. Dynamic POR: Are they really different?
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Bedrock: A Software Development Ecosystem Inside a Proof Assistant
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
The Blended Paradigm: A Bayesian Approach to Handling Outliers and Misspecified Models
Microsoft Research Cambridge, public talks
Checking microarchitectural implementations of weak memory
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Deep Probabilistic Models (Wake/Sleep)
Microsoft Research Cambridge, public talks
Machine Learning in an Exchange Environment
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Platforms and Applications for "Big and Fast" Data Analytics
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
Cluster Adaptive Training for Deep Neural Networks
β οΈ Sandwiches will be provided
Machine Learning @ CUED
Machine Translation with LSTMs
β οΈ Room changed to LR3B in Inglis building and time changed to 10:30
Machine Learning Reading Group @ CUED
PAC Bayes
Probabilistic Systems, Information, and Inference Group Seminars
SMC Samplers for Applications in High Dimensions
CUED Control Group Seminars
Plug-and-Play Operation of Microgrids
Microsoft Research Cambridge, public talks
Coping with the Intractability of Graphical Models
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Oracle Variational Inference
CUED Speech Group Seminars
Syllable based keyword search: transducing syllable lattices to word lattices
β οΈ Sandwiches will be provided at 13:00
Machine Learning Reading Group @ CUED
LSTM and Recurrent Neural Networks
CUED Control Group Seminars
Organizing circuits and biological behaviors
Probabilistic Systems, Information, and Inference Group Seminars
Butterfly resampling - convergence and central limit theorems for particle filters with constrained interactions
Microsoft Research Cambridge, public talks
Microsoft Distinguished Research Lecture Series - Technological Innovation in Healthcare
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Speech Group Seminars
Modulation spectrum-based approach to high-quality statistical parametric speech synthesis
β οΈ Sandwiches will be provided
Machine Learning @ CUED
Bayesian modeling for high-level real nursing activity recognition using accelerometers
β οΈ short talk
Machine Learning Reading Group @ CUED
Automatic Differentiation with Theano
Microsoft Research Cambridge, public talks
The Physical Web
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Chaos and entropy production in spiking networks
Machine Learning Reading Group @ CUED
State Space Abstraction for Reinforcement Learning
Probabilistic Systems, Information, and Inference Group Seminars
Importance Sampling with Particle Flows
Microsoft Research Cambridge, public talks
On Basing One-Way Functions on NP-Hardness
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Statistical Change Detection for Prognosis and Diagnosis
Microsoft Research Cambridge, public talks
Taming GPU threads with F# and Alea.GPU
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Kernel Embedding for Distributions
CUED Control Group Seminars
Fault-Tolerant Predictive Control: A Gaussian Process Model Based Approach
Machine Learning @ CUED
A Tutorial on Probabilistic Programming
Probabilistic Systems, Information, and Inference Group Seminars
Sequential Monte Carlo for graphical models: Graph decompositions and Divide-and-Conquer SMC
Microsoft Research Cambridge, public talks
Reasoning about GADT Pattern Matching in Haskell
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Optimal control and optimal sampling: A statistical physics perspective.
Microsoft Research Cambridge, public talks
Robust Distance Queries on Massive Networks
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
An Approximate Differentiable Renderer
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Nonlinear Consensus and Formation Control for Switching Topologies
Communications Research Group Seminar
Compressing Text - A new approach
Computational Neuroscience
Sensory processing in neocortical networks: randomness, specificity and learning
Microsoft Research Cambridge, public talks
Ancient lives, new discoveries: eight mummies, eight lives, eight stories
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Logic programming beyond Prolog
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
RDFox β A Modern Materialisation-Based RDF System
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Lottery Auctions
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Dynamic pricing in social networks: The Word of Mouth effect
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
A link between lambda calculus and maps
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
First-person Hyperlapse Videos
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Do Deep Nets Really Need To Be Deep?
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Discursis: A Computational Methodology for the Analysis of Communication Data
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
On the geometry of maximum entropy problems
Microsoft Research Cambridge, public talks
A Case for using Trend Filtering over Splines
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
New Methods in Bayesian Optimization for Machine Learning
Machine Learning @ CUED
A marginal sampler for Ο-Stable Poisson-Kingman mixture models
Machine Learning @ CUED
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction
Computational Neuroscience
A Study of Certain Models of Synaptic Plasticity in the Cerebellum and Neocortex
Microsoft Research Machine Learning and Perception Seminars
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Unsupervised Many-to-many Object Matching
Machine Learning @ CUED
Probabilistic Numerics - a snapshot of an emerging community
Microsoft Research Cambridge, public talks
Micro-Policies: A Framework for Tag-Based Security Monitors
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Speech Group Seminars
Interspeech presentations
Microsoft Research Cambridge, public talks
End of Internship Talk: F# Type Providers: DBpedia and the Combinator Framework
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Hedging Against Uncertainty via Multiple Diverse Predictions
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Beyond Mindless Labeling: *Really* Leveraging Humans to Build Intelligent Machines
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Compositional Models
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Representing microbial communities in Earth system models
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Towards Zero Latency Photonic Switching
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Computer Vision Research Seminars
Computational Neuroscience for Technology: Event-based Vision Sensors and Information Processing
CUED Control Group Seminars
Controller Design of a Grid-tie Inverter to Enhance Fault-Ride-Through Capability
Microsoft Research Cambridge, public talks
Computational Video: Methods for Video Segmentation and Video Stabilization, and their Applications.
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Communications Research Group Seminar
Density Evolution for SUDOKU Codes on the Erasure Channel
Microsoft Research Cambridge, public talks
Systems, Science and FreeBSD
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
The Integral Image Method for Fisheye Images
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
On the Bethe approximation
Microsoft Research Cambridge, public talks
FsLab: Doing data science with F#
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
The application of compressed sensing for longitudinal MRI
Microsoft Research Cambridge, public talks
A Verified Compiler for Probability Density Functions
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Byte Night Cambridge
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
Title to be confirmed
Machine Learning @ CUED
Gaussian process regression on graphs
Microsoft Research Cambridge, public talks
Image representation for synthesis and recognition using multilinear algebra
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
The Brave New World of Next-Generation NoSQL Data Stores
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Steps toward usable verification
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Practical Techniques for Auto-Active Verification
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Robust Model Predictive Control with Waysets
Microsoft Research Cambridge, public talks
FSCL: homogeneous programming and execution for heterogeneous platforms
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
How to Give a Great Research Talk
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
The Once and Future Internet
Machine Learning @ CUED
Implicit Representation Networks
Computational Neuroscience
Nervous system variability and robustness from cellular feedback control
Machine Learning @ CUED
Scalable Deep Gaussian Processes
Microsoft Research Cambridge, public talks
How to Write a Great Research Paper
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Computer Vision Research Seminars
Spectral Edge Image Fusion: Theory and Applications
Probabilistic Systems, Information, and Inference Group Seminars
Tracking the odd: Meter inference in musical audio using particle filters
Microsoft Research Cambridge, public talks
Local Temporal Reasoning
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
A multi-function approach to passivity-based control: The linear case.
Microsoft Research Cambridge, public talks
A Modular Integration of SAT/SMT Solvers to Coq through Proof Witnesses
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Symbiotic Relations: Control Theory and Practice
Microsoft Research Cambridge, public talks
Games, Learning and Markets Workshop
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Computer Vision Research Seminars
A fast and robust algorithm to count topologically persistent holes in noisy clouds.
Microsoft Research Cambridge, public talks
Geo-replicated storage with scalable deferred update replication
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Tips and Tools for Scientific Research Success
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Signal Processing via Sampled-Data Control - A Challenge to Go Beyond Shannon
Machine Learning Reading Group @ CUED
Unsupervised Representation Learning
Probabilistic Systems, Information, and Inference Group Seminars
Compressible priors for high-dimensional statistics
Machine Learning @ CUED
Active Learning of Linear Embeddings for Gaussian Processes
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Bayesian monitoring for the Comprehensive Nuclear-Test-Ban Treaty
Machine Learning @ CUED
Unifying logic and probability: A "New Dawn" for Artificial Intelligence?
β οΈ NOTE THE SPECIAL VENUE (Microsoft Research)
Machine Learning Reading Group @ CUED
ββTime-varying dynamic Bayesian network reconstruction with information sharingβ
Probabilistic Systems, Information, and Inference Group Seminars
SCATTERING CONVOLUTION NETWORKS and DUAL-TREE WAVELETS
CUED Control Group Seminars
Gradient methods for huge-scale optimization problems
Microsoft Research Cambridge, public talks
Algebra of Parameterised Graphs
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Computer Vision for Movie Making and Infographics
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
On designing robust cost functions β applications to pattern analysis
Microsoft Research Cambridge, public talks
A Collapsible Approach to Higher Order Verification
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Advanced Gaussian Process approximation methods
CUED Control Group Seminars
A scalable approach to the design of large networks
Computational Neuroscience
Adaptation, coding and Bayesian computations in single neurons and neural populations
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Practical Machine Learning at Facebook. Examples and Lessons Learnt.
β οΈ Room changed to LR4
Machine Learning @ CUED
Bayesian inference for integer-valued LΓ©vy processes with Non-Gaussian Ornstein-Uhlenbeck volatility modelling
β οΈ short talk (30 mins) - NOTE TIME CHANGE
Machine Learning Reading Group @ CUED
Statistical model criticism
CUED Control Group Seminars
AR Identification of Latent Graphical Models
Machine Learning @ CUED
Density Estimation in Infinite Dimensional Exponential Families
Microsoft Research Cambridge, public talks
Thinking for Programmers: Rising Above the Code
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Invariant Kalman Filtering
Microsoft Research Cambridge, public talks
The Art of Corporate Storytelling
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
A Riemannian approach to large scale constrained least squares with symmetries
Machine Learning @ CUED
Stable Poisson-Kingman species sampling priors generated by general ordered size biased generalized gamma mixing distributions
Microsoft Research Cambridge, public talks
Mid-level Likelihoods and Constraints for 3D Scene Interpretation
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Probabilistic Systems, Information, and Inference Group Seminars
Radio Aspects of the Home Area Network for Smart Metering
Machine Learning Reading Group @ CUED
Functional Programming
CUED Control Group Seminars
Chordal Sparsity, Decomposing SDPs and the Lyapunov Equation
Microsoft Research Cambridge, public talks
Protecting Programs During Resource Retrieval
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Speech Group Seminars
ICASSP presentations
CUED Computer Vision Research Seminars
Efficient Image Scene Analysis and Applications
Machine Learning Reading Group @ CUED
The Bernoulli Factory problem and some connections with Computable Analysis
Microsoft Research Cambridge, public talks
The shadowy life of many webcams
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
The Art of Corporate Storytelling
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Seeing in depth: computations and cortical networks
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Crafting Visualizations
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Neural Network Language Modelling
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Sustainable IT and IT for Sustainability
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Probabilistic computing applications: BayesDB and stochastic digital circuits
Machine Learning Reading Group @ CUED
Loopy belief propagation
CUED Speech Group Seminars
Investigation of multilingual speech-to-text systems for use in spoken term detection
Microsoft Research Cambridge, public talks
Bandits with Switching Costs: T^{2/3} Regret
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Probabilistic computing for Bayesian inference
Machine Learning @ CUED
Machine Learning and Order Book Dynamics
Microsoft Research Cambridge, public talks
Publish/Subscribe for Large-Scale Social Interaction: Design, Analysis and Resource Provisioning
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Policy Evaluation with Temporal Differences
Microsoft Research Cambridge, public talks
Decision Making and Inference under Limited Information and Large Dimensionality
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Incremental Parallel and Distributed Systems
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
IC3 Modulo Theories via Implicit Predicate Abstraction
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Rich semantic representations for detailed visual recognition
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Globally Optimizing Graph Partitioning Problems Using Message Passing
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Characterizing and Improving Last-Mile Performance Using Home Networking Infrastructure
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Forecasts and Control: Theory and Practice.
Microsoft Research Cambridge, public talks
Automatic Differentiation - Part One: A Revisionist History and the State of the Art
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Performance Optimizations for Compiler-based Error Detection Methodologies
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Switched differential systems
CUED Computer Vision Research Seminars
Analyzing and Abstracting Scans of Man-made Environments
Microsoft Research Cambridge, public talks
Scaling Deep Learning
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Communications Research Group Seminar
Self-Organising Lists
Microsoft Research Cambridge, public talks
Using ConvNets, MALIS and crowd-sourcing to map the retinal connectome
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Data Driven Student Feedback For MOOCs: Global Scale Education for the 21st century
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Part Detection and Species Identification
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Matrix Means, Distances, Kernels, and Geometric Optimization
Microsoft Research Cambridge, public talks
The Performance of Deferred-Acceptance Heuristic Auctions
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Trouble-makers: Audio-video distortions as a relational resource in couplesβ video calls
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Differentially positive systems
Probabilistic Systems, Information, and Inference Group Seminars
Dual-to-kernel learning with ideals
Microsoft Research Cambridge, public talks
Mechanism design for Cloud Computing and Crowdsourcing
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Achieving the Full Potential of State Machine Replication: High Throughput, Low Latency, Constant Availability
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Communications Research Group Seminar
Multiple Description Coding
Microsoft Research Cambridge, public talks
Designing Controller Abstractions for Software-Defined Networks
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Learning to Learn for Structured Sparsity
Microsoft Research Cambridge, public talks
Rethinking State-Machine Replication for Multicore Architectures
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Speech Group Seminars
Efficient Lattice Rescoring Using Recurrent Neural Network Language Models
CUED Speech Group Seminars
Will recurrent neural network language models scale?
CUED Control Group Seminars
Whither discrete-time model predictive control?
Communications Research Group Seminar
Wireless communication in electromagnetic cavities
Machine Learning @ CUED
Bayesian nonparametric dynamic-clustering and genetic imputation
Machine Learning @ CUED
Parameter estimation in deep learning architectures: Two new insights.
β οΈ Note: time is 12 noon (*not* 11am)
Machine Learning @ CUED
Bayesian canonical correlation analysis
Probabilistic Systems, Information, and Inference Group Seminars
Classification on the Grassmann Manifold: Performance Limits of Compressive Classifiers
CUED Control Group Seminars
Moment relaxations for the global resolution of optimal control problems
Microsoft Research Cambridge, public talks
Computational foundations of Bayesian inference and probabilistic programming
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Cambridge - Tuebingen PhD Applicant Talks (via Skype)
β οΈ Interview talks via Skype
Machine Learning @ CUED
Generative probabilistic programming: applications and new ideas
Microsoft Research Cambridge, public talks
An Online Allocation Mechanism with Pre-Commitment and its Application to Electric Vehicle Charging
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
The Ribosome Flow Model: Theory and Applications
Probabilistic Systems, Information, and Inference Group Seminars
Is the Gaussian distribution "Normal"?: Signal processing with alpha-stable distributions
Machine Learning @ CUED
Bayesian nonparametrics: Dependency and Constraint Modeling
β οΈ Note: TALK via Skype!
Microsoft Research Cambridge, public talks
Generative probabilistic programming: applications and new ideas
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Bayesian Nonparametric Model for Power Disaggregation
CUED Control Group Seminars
An introduction to bi-level programming in control
Machine Learning @ CUED
Probabilistic machine learning for knowledge extraction from videos and text
β οΈ Note venue: LR6
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Multi Physics Modelling for Automotive Control Development
Microsoft Research Cambridge, public talks
Topological Data Analysis: potential applications to computer vision
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Speech Group Seminars
Refinements in Hierarchical Phrase-Based Translation
Machine Learning Reading Group @ CUED
An introduction to Sequential Monte Carlo
Microsoft Research Cambridge, public talks
Declarative Static Program Analysis
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Frequentist coverage of adaptive nonparametric Bayesian credible sets
Microsoft Research Cambridge, public talks
FaRM: Fast Remote Memory
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
Joint Source-Channel Coding with Fading Channel and Side Information
Microsoft Research Cambridge, public talks
The persistence of structure: Layers, time, and the estimation of optical flow
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Probabilistic Data Structures and Algorithms
Computational Neuroscience
Computational Neuroscience Course (4G3)
β οΈ 4G3 course -- repeats every Wed at 12am, and Fri at 11am during Lent
Communications Research Group Seminar
Effective Secrecy: Reliability, Confusion and Stealth
Probabilistic Systems, Information, and Inference Group Seminars
Bayesian State-Space Modelling on High-Performance Hardware Using LibBi
Machine Learning Reading Group @ CUED
Information Theory and Method of Types: Channels, Quantizers, and Divergences
Machine Learning @ CUED
Anglican; Particle MCMC inference for Probabilistic Programs
CUED Speech Group Seminars
Inverse reinforcement learning for modeling micro-turn taking
Machine Learning @ CUED
Sparse discriminative latent characteristics for predicting cancer drug sensitivity
Microsoft Research Cambridge, public talks
Efficient Preconditioning of Laplacian Matrices for Computer Graphics
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
A Combinatorial Prediction Market for the US Elections
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Discrete-Time Extremum-Seeking for Wiener-Hammerstein Plants with Applications to Online Engine Optimisation
Microsoft Research Machine Learning and Perception Seminars
Bayesian Machine Learning for Controlling Autonomous Systems
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Real time control with lots of humans in the loop
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Typed functional probabilistic programming: ready for practical use?
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Reasoning about Eventual Consistency
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Principles and Techniques of Automatic Differentiation
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
INDEPENDENT COMPONENT ANALYSIS VIA NONPARAMETRIC MAXIMUM LIKELIHOOD ESTIMATION
Microsoft Research Cambridge, public talks
Hardware Neural Network Accelerators
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Programming Approximate Systems
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Image Classification Using a Background Prior
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Automatic DifferentiationPart One: A Revisionist History and the State of the Art
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Integrated Nested Laplace Approximation (INLA)
Probabilistic Systems, Information, and Inference Group Seminars
Dynamic State Estimation using Dirac Mixture Approximation and Directional Statistics
Microsoft Research Cambridge, public talks
Depot: from Byzantine fault tolerance to eventual consistency in a single system
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Randomized tree ensembles: output kernels and variable importances
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Minimum Seeking for Unstable Unmodeled Systems
Microsoft Research Cambridge, public talks
Language based web security: the operational semantics approach
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Language based web security: the operational semantics approach
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Communications Research Group Seminar
Second-order asymptotics in network information theory
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Algebraic methods in computer vision and automatic generation of efficient algebraic solvers
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Probabilistic Systems, Information, and Inference Group Seminars
Communication by Statistical Regression
Machine Learning Reading Group @ CUED
Spectral Learning
CUED Control Group Seminars
Optimal Control with Noisy Time
Computational Neuroscience
Learning sensory and spatial representations from interacting excitatory and inhibitory synaptic plasticity
Microsoft Research Cambridge, public talks
Multimodal Gaze-Supported Interaction
Microsoft Research Cambridge, public talks
Discovering the Structure of Visual Categories from Weak Annotations
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Neuronal processing of continuous sensory streams
Machine Learning Reading Group @ CUED
Random Projections
Communications Research Group Seminar
Codes for Distributed Data Compression
Machine Learning @ CUED
Contrastive Learning Using Spectral Methods
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Herding: Driving Deterministic Dynamics To Learn And Sample Probabilistic Models
Probabilistic Systems, Information, and Inference Group Seminars
Understanding Audio and Video at Google
CUED Speech Group Seminars
Physically Situated Spoken Language Interaction: Opportunities and Challenges
Computational and Biological Learning Seminar Series
Assembly and function of motor circuits for automatic and goal oriented movements
Computational and Biological Learning Seminar Series
A talk of two distinct parts: 1) a parametric empirical Bayesian approach to integration of fMRI, EEG and MEG data, 2) prediction error in episodic memory encoding
CUED Speech Group Seminars
Speech & NLP at Amazon β Unique Challenges, Unique Resources
CUED Control Group Seminars
Incorporating Domain-Specific Knowledge in Learning Control using Multiple Dynamics Models
Microsoft Research Cambridge, public talks
Memristors: The Future of Computer Memory and Neuromorphic Circuits?
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Microsoft Research Cambridge, public talks
A Bigger and Faster Bitcoin: an Analysis of High-Rate Bitcoin Transaction Processing
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Bayesian and Bandit Optimization
Computational Neuroscience
What the Rat's Whiskers Tell the Rat's Brain
Microsoft Research Cambridge, public talks
Type Refinement in the Abstract
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Reflection methods for user-friendly submodular optimization
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Microsoft Research Cambridge, public talks
A Framework for Automatically Enforcing Privacy Policies
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Nonparametric Bayesian statistics with exchangeable random structures
Machine Learning @ CUED
Dissecting genotype to phenotype relationships
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Anomaly Detection in the Field
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Compositionality in Vision and Language
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Speech Group Seminars
Recurrent Continuous Translation Models
Microsoft Research Cambridge, public talks
Five machine learning research topics at Oxford CS
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Active Pedestrian Safety: from Research to Reality
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Microsoft Research Cambridge, public talks
Managing the Network with Merlin
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Microsoft Research Cambridge, public talks
Robust Models of Mouse Movement on Dynamic Web Search Results Pages
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
How Watson Learns Superhuman Jeopardy! Strategies
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
Bandlimited Intensity Modulation
Machine Learning @ CUED
CANCELLED: Local Deep Kernel Learning for Efficient Non-linear SVM Prediction
β οΈ CANCELLED
Microsoft Research Cambridge, public talks
Inextensibility constraints for 3D reconstruction of deformable objects
Microsoft Research Cambridge, public talks
Auctioning based Coordinated TV White Space Spectrum Sharing for Home Networks
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Big Data and Dark Silicon: Taming Two IT Inflection Points on a Collision Course
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Microsoft Research Cambridge, public talks
Disciplined Approximate Computing: From Language to Hardware, and Beyond
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
QUIC Graphs: Relational Invariant Generation for Containers
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Clustering Based on Predictive Variances in Gaussian Process Regression Models
Microsoft Research Cambridge, public talks
Is The Rise of Cloud Storage, Cloud Computing and Social Networks a Consequence of a Failed OS (Operating System) Design?
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Microsoft Research Cambridge, public talks
Want Effective Security Solutions? Let's Re-Think The Design Approach
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Static Analysis of Cache Side Channels
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Microsoft Research Cambridge, public talks
Proving Equivalences Between Prolog Semantics in Coq
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Speech Group Seminars
POMDP-based dialogue manager adaptation to extended domains
Microsoft Research Machine Learning and Perception Seminars
Foundations of Neuromechanical Systems Biology: Combining engineering, biology, and mathematics to understand how we move
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Microsoft Research Cambridge, public talks
Deep Gaussian Processes
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Microsoft Research Cambridge, public talks
Censorship Circumvention: Staying Ahead in a Cat-and-Mouse Game
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
3D Reconstruction using Point-Based Fusion
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Improving Time-of-Flight Range Data Quality
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
The Relationship Between Separation Logic and Implicit Dynamic Frames
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Strategies for General Recognition
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Fast and Guaranteed Learning of Overlapping Communities via Tensor Methods
Microsoft Research Cambridge, public talks
Datalog for Program Analysis: Beyond the Free Lunch
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Control of PDE and Delay Systems Inspired by Applications in Fluids and Structures
Microsoft Research Machine Learning and Perception Seminars
The cost of principles
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Non-Parametric Conditional Random Fields in Computer Vision and Image Processing
Machine Learning @ CUED
Higher Order Learning for Classification in Emergency Situations
Microsoft Research Cambridge, public talks
KAT on a Wire: A Foundation for Network Programming
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Lifts of Convex Sets and Cone Factorizations
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Speech Group Seminars
Interspeech practice session
Machine Learning @ CUED
Annealing Between Distributions by Averaging Moments
Microsoft Research Machine Learning and Perception Seminars
Efficient Multi-dimensional Parametric Mincuts for Constrained MAP Inference
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
NLIP Seminar Series
Recursive Deep Learning for Modeling Semantic Compositionality
Microsoft Research Cambridge, public talks
SWAN: Software-driven wide area network
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Validating SAT Refutations
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Data Structures for Efficient Inference and Optimization in Expressive Continuous Domains
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Bridging the Discrete and the Continuous in Reasoning about Programs
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
βWhen is fair sharing optimal?β
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
Stochastic Geometry in Dynamic State Estimation
Microsoft Research Cambridge, public talks
Automated Analysis of Probabilistic Programs
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Noise estimation by PDE-constrained optimisation
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Inference in non-linear dynamical systems -- a machine learning perspective
CUED Speech Group Seminars
Recent Work in Acoustic Modelling at Google
Microsoft Research Cambridge, public talks
Very high speed networking in VMs and bare metal
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Ultra high accuracy (UAIM) superresolution microscopy of biological samples: How ugly images give better results than pretty ones
Machine Learning Reading Group @ CUED
Random Forests: One tool for all your problems.
Machine Learning @ CUED
Applied statistical genetics and next-generation association studies
Machine Learning @ CUED
Applied statistical genetics and next-generation association studies
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Economic Model Predictive Control: basic theory and future directions
Probabilistic Systems, Information, and Inference Group Seminars
Estimation with Incomplete State Information in the Smart Grid
Communications Research Group Seminar
Energy-efficient wireless communications
Probabilistic Systems, Information, and Inference Group Seminars
Probabilistic modelling of time-frequency representations with application to music signals
Communications Research Group Seminar
Interactive Codes for File Synchronization
CUED Speech Group Seminars
Dialog state tracking: Open problems, challenge task, and recent work
Microsoft Research Cambridge, public talks
Reaping the Benefits of Partial SDN Deployment in Enterprise Networks
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Modelling Nonlinear Dynamical Systems
Machine Learning @ CUED
The combinatorial structure of conditionally i.i.d. negative binomial processes directed by a beta process
Communications Research Group Seminar
Polar Coding - review and new results
Microsoft Research Cambridge, public talks
NetFPGA: The Flexible Open-Source Networking Platform
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
On the convergence of Adaptive sequential Monte Carlo Methods
CUED Control Group Seminars
Next-Generation Smart Grid: Completely Autonomous Power Systems (CAPS)
Probabilistic Systems, Information, and Inference Group Seminars
Demodulation and time-frequency analysis as inference
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Optimal compensation for neuron death
Machine Learning Reading Group @ CUED
Adaptive Hamiltonian-based MCMC samplers
Communications Research Group Seminar
Mismatched Decoding
jg691's list
Google's Approach to Building Relationships with Universities: Presentation and Talk by Dr David J Harper
CUED Control Group Seminars
Engineering and medicine: Opportunities in type 1 diabetes
Machine Learning Reading Group @ CUED
Bayesian Nonparametrics in Real-World Applications: Statistical Machine Translation and Language Modelling on Big Datasets
Computational Neuroscience
Dendritic computation in pyramidal neurons.
Communications Research Group Seminar
Entropy of the Sum of Discrete Random Variables - revisited
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Research Challenges in Applying Control to Wheel-Rail Contact Problems
Machine Learning @ CUED
Matrix Concentration Inequalities via the Method of Exchangeable Pairs
Communications Research Group Seminar
Low-complexity codes for Compression and Communication via Sparse Regression
CUED Speech Group Seminars
ICASSP poster practice session
Microsoft Research Cambridge, public talks
MSR-Lecture: Generative Models of Images of Objects
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Deep Gaussian Processes
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Machine Learning and Perception Seminars
Building Better Questionnaires with Probabilistic Modelling
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Approaches to statistical modeling of network data
Microsoft Research Cambridge, public talks
Language-Integrated Quantum Operations: A Software Architecture for Quantum Computing
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
CUED Control Group Seminars
Plug-and-Play Synthesis and Computation of Predictive Controllers
Computational Neuroscience
Is the brain in a critical state?
Computational Neuroscience
Demixing scents: Sampling-based inference in olfaction.
Communications Research Group Seminar
High-SNR Asymptotics of Mutual Information for Discrete Constellations
Machine Learning Reading Group @ CUED
Sparsity: Beyond L1
CUED Control Group Seminars
Sensor fusion and parameter inference in nonlinear dynamical systems
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Modular reasoning for modular concurrency
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Reconstruction and Applications of Collective Storylines from Web Photo Collections
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Theory and Practice of Mix-Nets
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Cryptoforma: Computer-Aided Cryptographic proofs with EasyCrypt
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Understanding and Improving the Efficiency of Failure Resilience for Big Data Frameworks
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Bayesian nonparametric methods for non-exchangeable data
Machine Learning Reading Group @ CUED
Reproducing Kernel Hilbert Spaces in Non-parametric Statistics
Microsoft Research Cambridge, public talks
From Bounded to Unbounded Proofs of Correctness
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Big Data Analytics with All-or-Nothing Parallel Jobs
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Intelligent Location-Privacy Preserving Mechanisms
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Understanding and Improving Device Access Complexity
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
The Ramifications of Sharing in Data Structures
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
MSR-Lecture: Gaussian Processes for Pattern Discovery, Speaker: Andrew Wilson
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Static Verification for Web Scripting Languages
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Non-parametric Bayesian Chromatin State Segmentation
CUED Speech Group Seminars
Robust speech recognition / Towards better probabilistic models of speech - a discussion
Microsoft Research Cambridge, public talks
Graph-Based Reasoning in Separation Logic for Fun and Profit
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Programming The Parallelism Zoo
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Towards Algebra-Oriented Programming
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
An Introduction to Sum Product Networks
Microsoft Research Cambridge, public talks
CRASH/SAFE: Clean-slate Co-design of a Secure Host Architecture
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Austerity in MCM - Land : Cutting the computational Budget
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Hypervisor Scheduler Enhancement Using OS-Hardware Interactions
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Fast Variational Inference in the Conjugate Exponential Family
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Proving Termination of Heap-Manipulating Java Programs
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Syntactic Foundations for Machine Learning
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Fast Variational Inference in the Conjugate Exponential Family
Microsoft Research Cambridge, public talks
Wireless Networking Using Smart Radios
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Bayesian Reinforcement Learning
CUED Control Group Seminars
"Biased excitable networks: how cells direct motion in response to gradients (a control perspective)"
Microsoft Research Cambridge, public talks
Trust and Mistrust on the Internet
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Mechanism design: dealing with interdependencies among agents.
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Privacy and Integrity of Remote Storage and Computation
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Semantics\sqcap Scalability\models\bot? Are Semantics and Scalability Incompatible?
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
University Lectureship in Computational Neuroscience candidate talks
CUED Speech Group Seminars
Introduction to Dialogue Systems
Machine Learning Reading Group @ CUED
Probabilistic Programming
Microsoft Research Cambridge, public talks
Optimal Payments in Dominant-Strategy Mechanisms
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Machine Learning and Perception Seminars
Warped Mixture Models for Meaningful Clustering and Bayesian Manifold Learning
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
An application of HDP And IBP for stream-based action recognition and high dimensional data
Microsoft Research Cambridge, public talks
Achieving High Data Rates in Distributed MIMO Systems
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Using Context and Insight for the Analysis of LittleData?
Machine Learning Reading Group @ CUED
Machine Learning in Speech Recognition
Machine Learning Reading Group @ CUED
Fragmentation Coagulation
Probabilistic Systems, Information, and Inference Group Seminars
Digitisation of modern and traditional dances using motion capture technology
Microsoft Research Cambridge, public talks
Reasoning About Client Side Web Programs
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Feature allocations, probability functions, and paintboxes
Machine Learning @ CUED
Modelling Reciprocating Relationships with Hawkes Processes
Machine Learning Reading Group @ CUED
Conditional Density Estimation
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Machine Learning and Perception Seminars
New probabilistic methods for inference of natural selection on regulatory sequences in the human genome
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Danielβs Adventures in Computer Vision Land
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Modelling road networks in the Amazon
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
RCC Planning
Microsoft Research Cambridge, public talks
Automated Error Diagnosis Using Abductive Inference
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Detecting Sybils without Graphs
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
How do we model global plant physiology? A case study of leaf phenology
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Land use / land cover change and malaria risk in the Amazon region
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Speech Group Seminars
Paraphrastic Language Models / Structured SVMs for ASR
Microsoft Research Cambridge, public talks
Stratosphere: Massively parallel dataflow programming
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Discrete Optimization
Machine Learning @ CUED
Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables
CUED Control Group Seminars
Programming Cells: Computing with DNA
Machine Learning Reading Group @ CUED
Advanced Sampling
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Predictive control of mechatronic systems
Machine Learning Reading Group @ CUED
NIPS Recap
Computational Neuroscience
Computational Neuroscience Course (4G3)
β οΈ 4G3 course -- repeats Wednesdays at 12noon, Thursday at 2pm during Lent 2013
CUED Speech Group Seminars
Acoustic Factorisation for Robust Speech Recognition
CUED Control Group Seminars
Predictive control of mechatronic systems
Microsoft Research Cambridge, public talks
Dynamic Fair Division of Multiple Resources
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Pre CDC talk
Machine Learning Reading Group @ CUED
NIPS Recap
Microsoft Research Machine Learning and Perception Seminars
From motion capture of interacting hands to video based rendering.
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Scaling wireless services
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Speech Group Seminars
Efficient Decoding with Generative Score-Spaces Using the Expectation Semiring
Machine Learning Reading Group @ CUED
Bayesian and Gradient Reinforcement Learning
Probabilistic Systems, Information, and Inference Group Seminars
Practical progress and research challenges in wireless technology.
Microsoft Research Cambridge, public talks
Handling Multitude of Nash Equilibria in Voting Games
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Spectral Edge: Making the Invisible Visible
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Automating Separation Logic Reasoning
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Microsoft Research Cambridge, public talks
Computing and Autism: How a real-world challenge drives a computing research agenda
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Compressed Sensing in Cancer Biology? (A Work in Progress)
Machine Learning Reading Group @ CUED
Spectral Clustering
Machine Learning @ CUED
The combinatorial structure underlying a beta processes is that of a continuum of Blackwell-MacQueen urn schemes
Microsoft Research Cambridge, public talks
Optimal kernel choice for kernel hypothesis testing
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Next Wave of TelcoΒ΄s Innovation
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Modern Neural Networks: the Hinton Camp
Machine Learning @ CUED
Learning of Milky Way Model Parameters Using Matrix-variate Data in a New Gaussian Process-based Method
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
TypeScript: JavaScript development at scale
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
MIT Media Lab's Information Ecology Group
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
A computer-checked proof of the Odd Order theorem
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Distributional compositional models of semantics
bbu20's list
Coding with Dendrites
CUED Speech Group Seminars
Overview of Speech Technology Research at CUED
Computational Neuroscience
Computational Neuroscience Journal Club
Foster Talks
Space, sleep, brain rhythms and memory
Machine Learning @ CUED
Identification of causal effects
Probabilistic Systems, Information, and Inference Group Seminars
Dual-Tree Complex Wavelets - their key properties and a range of image-processing applications
Microsoft Research Machine Learning and Perception Seminars
Towards ad hoc interactions with robots
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Probabilistic methods for biomolecular structure simulations
Machine Learning Reading Group @ CUED
Completely Random Measures in Bayesian Nonparametrics
Computer Laboratory Systems Research Group Seminar
Distributed, Real-Time Bayesian Learning in Online Services
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Machine Learning and Perception Seminars
From the Information Extraction Pipeline to Global Models, and Back
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Innovation in Cambridge Engineering β how to foster it?
Microsoft Research Cambridge, public talks
Dynamically Enforcing Knowledge-based Security Policies
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Machine Learning Reading Group @ CUED
Model selection in a large compositional space
β οΈ note: the first 45 mins will be planning and the talk will start at around 3:15pm
Microsoft Research Cambridge, public talks
Distributed Opportunistic Scheduling: A Control Theoretic Approach
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Probabilistic Latent Tensor Factorisation
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
A new metric on kernel matrices with applications to matrix means
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Compressed Sensing Applications in Functional Magnetic Resonance Imaging
Microsoft Research Cambridge, public talks
Convergent and Scalable Algorithms for Expectation Propagation Approximate Bayesian Inference
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
On Synthesis of Verification Tools
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Multi-Label Learning with Millions of Categories
Microsoft Research Cambridge, public talks
Fast and Reliable Online Learning to Rank for Information Retrieval
β οΈ o This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Microsoft Research Cambridge, public talks
Scale-Out Processors
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Playing in the Grey Area of Proofs
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
Audio/Video R&D at Google
Machine Learning @ CUED
Efficient Sampling with Kernel Herding
Microsoft Research Cambridge, public talks
Craig Interpretation
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Capture of dynamic scene using multiple cameras provides rich spatial-temporal information that can be used for solving challenging computer vision problems.
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
From Pose Estimation to Fine Grained Activity Recognition
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Perceiving is Believing: Bayesian inference in unexpected places.
Microsoft Research Machine Learning and Perception Seminars
Tell Me Where Youβve Lived and What You Want -- Iβll Tell You What You Like and Need
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Latent Hough Transform for Object Detection
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Frank-Wolfe optimization insights in machine learning
Microsoft Research Cambridge, public talks
Satisfiability: connecting logic and probability
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Context sensitive information: Which bits matter in data?
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
HyperDex: A Consistent, Fault-tolerant, Searchable NoSQL Store
Microsoft Research Cambridge, public talks
Verifying Concurrent Programs with Relaxed Conflict Detection
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Concurrent Data Representation Synthesis
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Deep learning for vision: a case study for visual textures, and some thoughts on a general framework
Microsoft Research Cambridge, public talks
Achieving High Data Rates in a Distributed MIMO System
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Thermodynamics as a Theory of Decision-Making with Information Processing Costs
Microsoft Research Cambridge, public talks
On Agent Failures in Totally Balanced Cooperative Games
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Cube and Conquer: Guiding CDCL SAT Solvers by Lookaheads
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
SmartDesign: Living with Geometric Complexity
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Division F Financial Modelling Group
Fact or Friction: Jumps at Ultra High Frequency
Machine Learning @ CUED
Human Behavior Classification with Infinite Hidden Conditional Random Fields
Microsoft Research Machine Learning and Perception Seminars
Part A: Non-parametric image optimization & Part B: Crowdsourcing gaze data collection
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Causality for Free! Parametricity Implies Causality for Functional Reactive Programs
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Multi-Label Learning with Millions of Categories & Generalized Multiple Kernel Learning with a Million Kernels
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Prediction Strategies without Loss
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Probabilistic Methods in Cancer Biology
Microsoft Research Cambridge, public talks
How to present a poster at an international conference
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Body Part Recognition: Making Kinect Robust
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
F# Tutorial
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
.NET Gadgeteer: A Platform for Custom Devices
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Microsoft Research Connections and Cloud Computing for Science
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
How to give a great research talk
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Fast Gaussian process learning for regression, semi-supervised classification, and multiway analysis
Microsoft Research Cambridge, public talks
How to write a great research paper
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Non-parametric Bayesian Learning of User Preferences: Elicitation, Sparsification and Beyond
Microsoft Research Cambridge, public talks
Microsoft Academic Search
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Proving that programs eventually do something good
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Human Computing and Crowdsourcing in Search
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Towards Predictable Data Centers- Why Johnny can't use the cloud and what can we do about it?
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Machine Learning for medical Image Analysis
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Planetary prediction services for society
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Realizing Touchless Interaction in the Operating Theatre
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Functional first programming in an information-rich world
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Structured Prediction using Linear Programming Relaxations
Microsoft Research Cambridge, public talks
How reciprocity renders networks irrelevant for cooperation in social dilemmas
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Aggregators and the News Industry: Charging for Access to Content
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Treasure Hunt
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Network Design and Defence
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Blotto On Facebook: The Effect of Social Relations On Strategic Interaction
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Game theory for Security: Key Algorithmic Principles, Deployed Systems, Lessons Learned
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Decentralized Auctions for Uniformly Semimodular Bidders
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Managing air traffic disruptions through strategic prioritization
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Scarce attention and the value of page rank in online search
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Harvesting the Wisdom of Crowds
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Communication networks in markets
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Machine Learning for medical Image Analysis
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Dependent normalized random measures
Computational and Biological Learning Seminar Series
Optimal integration of top-down and bottom-up uncertainty in humans, monkeys, and neural networks
Machine Learning Reading Group @ CUED
GP-BUCB for Spinal Cord Injury Therapy: Batch Active Learning with Applications
Microsoft Research Cambridge, public talks
The RCUK Digital Economy Theme β A Catalyst for Change
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Financial Modelling with 2-EPT Levy Processes
Microsoft Research Cambridge, public talks
Probabilistic Programming and Probabilistic Databases for Large-scale Knowledge-base Construction
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Discovery of Complex Behaviors through Contact-Invariant Optimization
Microsoft Research Cambridge, public talks
Energy Debugging in Smartphones
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Web Science: Politics, Demographics and More
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Machine Learning and Perception Seminars
The Inverted Multi-Index
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
On Data (In-)Dependent Hashing
Probabilistic Systems, Information, and Inference Group Seminars
Introduction to the physics and modelling of electro- and magnetoencephalography
CUED Control Group Seminars
Engineering and Control of Biological circuits: from yeast to mammalian cells
Machine Learning Reading Group @ CUED
Poisson Processes: Applications in Machine Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Information Spreading in Social Networks
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Economic MPC and the role of exponential turnpike properties
Machine Learning Reading Group @ CUED
A rough guide to the Aldous-Hoover representation theorem for exchangeable arrays
Machine Learning Reading Group @ CUED
Title to be confirmed
Machine Learning Reading Group @ CUED
Dirichlet Process Mixture Models and Bayesian Nonparametric Density Estimation
Microsoft Research Cambridge, public talks
Weightedness and Structural Characterization of Hierarchical Simple Games
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Learning with nonparametric dependence and divergence estimation
CUED Control Group Seminars
Estimation, Identification and control of cell populations
Machine Learning @ CUED
Past work and future interests: respectively, the scattering of Anyons and Monte Carlo methods
Machine Learning Reading Group @ CUED
"Structured sparsity and convex optimization"
Computational Neuroscience
Visuomotor behavior in naturalistic tasks: from receptive fields to value functions
Microsoft Research Cambridge, public talks
Weightedness and Structural Characterization of Hierarchical Simple Games
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Non-parametric Bayesian Method and Maximum-A-Posteriori Inference in Statistical Machine Translation
Computational and Biological Learning Seminar Series
Optimal encoding and decoding in sensory populations
Microsoft Research Machine Learning and Perception Seminars
Topic Models for Human Activity Understanding
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Craik Club
"Probing sensory representations with metameric stimuli"
β οΈ The host for this talk is MΓ‘tΓ© Lengyel, Engineering Department. Note that the title and topic of the talk have been revised.
Adrian Seminars in Neuroscience
Near-optimal integration of evidence for decision-making in the rat.
Machine Learning Reading Group @ CUED
Financial Problems tractable to Machine Learning Methods
Microsoft Research Cambridge, public talks
Learning and Discovery of Clinically Useful Information from Medical Images
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
Probabilistic Amplitude and Frequency Demodulation
Machine Learning Reading Group @ CUED
A Predictive Study of Bayesian Nonparametric Regression Models
Computational Neuroscience
Rational learning may be minimalist
Microsoft Research Cambridge, public talks
Rekeyable Ideal Cipher from a Few Random Oracles
Microsoft Research Cambridge, public talks
Verification and Synthesis by Sciduction
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Title to be confirmed
Machine Learning Reading Group @ CUED
Weighted Finite-state Automata
Microsoft Research Cambridge, public talks
Confining the Ghost in the Machine: Using Types to Secure JavaScript Sandboxing
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Efficient Cryptography for the Next Generation Secure Cloud
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Stroke Rehabilitation using Electrical Stimulation & Robotics: Open problems in control, identification, sensing and motor learning
Microsoft Research Cambridge, public talks
Computer Assisted Interventions: Challenges in design, development, validation and deployment of novel techniques
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Active Learning
Microsoft Research Cambridge, public talks
Mathematical modelling on remotely-sensed dynamics of marine primary producers
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Generating Code by Learning
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Learning and Representing: a Jointly Optimal Approach
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Building Flexible High-Performance Key-Value Systems
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
The science of guessing
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Efficient Machine Learning with High Order and Combinatorial Structures
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Microsoft Research Cambridge, public talks
Mean Field Equilibria of Dynamic Auctions with Learning
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
From certified languages to their certified implementations
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Empirical evidence in privacy economics
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Towards Networks without Management Complexity
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Towards Networks without Management Complexity
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Supporting Active Reading Activities With a Multi-Slate System
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Mementos, Memento Mori, and More: Digital Assets across the Human Lifespan
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Compositional Inter-Language Relational Verification
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Machine Learning Reading Group @ CUED
Topic Modelling
Microsoft Research Cambridge, public talks
Communication Complexity and When Dubious Data Structures can be Detected
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Non-Interactive Verifiable Computation
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Division F Financial Modelling Group
Quantitative Trading with Bayesian Methods
Microsoft Research Cambridge, public talks
Ethnography: Understanding natural interaction with our communication technologies
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Methods in decision theory for conservation research
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Solutions for a sustainable and desirable future
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Searching, Scanning and Smelling - a portfolio presentation
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Structural Learning of Dynamic Bayesian Networks
Microsoft Research Cambridge, public talks
Sampling based on local signal analysis: applications to photo-realistic imagery and beyond
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Algebraic Foundations to Effect-Dependent Optimisations
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Your Abstractions are Worth^H^H^H^H^HPowerless!Non-Volatile Storage and Computation on Embedded Devices*(*Batteries Not Included)
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
A joint part- and pixel-wise approach to human pose estimation
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Approaches to Multiscale Modelling of Complex Systems
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Machines Learning Human Minds
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Mean Field Equilibria of Dynamic Auctions with Learning
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Efficient Range Querying in Distributed Games
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Microsoft Research Cambridge, public talks
Understanding variability and temporal trends in biosphere-atmosphere CO2 exchange through integrating models with data
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
ORCHID: Human-agent collectives for disaster response and the smart grid
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
ORCHID: Human-agent collectives for disaster response and the smart grid
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Machine Learning Reading Group @ CUED
Extended ensemble Monte Carlo
Machine Learning @ CUED
Infinite Structured Explicit Duration Hidden Markov Models
Microsoft Research Cambridge, public talks
Towards Practical Randomization in Concurrent Data Structures
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Malleability in Modern Cryptography
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Decision Theory in Conservation Biology, from Systematic Conservation Planning to Scenario-Based policy assessments
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Short and long-term effects of climate, disturbance, and forest management on regional carbon storage and emissions under current and proposed policy plans
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
"Symmetry and sufficiency"
Computational Neuroscience
Computational Neuroscience Journal Club
Inference Group
Entropy and data compression (II)
β οΈ PLEASE NOTE: There will be no lectures during the Easter break (12 March - 9 April). Lectures will resume on 16 April.
CUED Control Group Seminars
Decentralized Optimal Control and Connections to the Human Motor System
Microsoft Research Cambridge, public talks
A Population Approach to System Design
Microsoft Research Cambridge, public talks
A Population Approach to System Design
Microsoft Research Machine Learning and Perception Seminars
Sequential Decision Making in Experimental Design and Sustainability via Adaptive Submodularity
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
Modelling Network Data
Microsoft Research Cambridge, public talks
Exploring Compression and the Aesthetics of Creativity
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Inference Group
Entropy and data compression (I)
Machine Learning @ CUED
Probabilistic computing: computation as universal stochastic inference, not deterministic calculation
Probabilistic Systems, Information, and Inference Group Seminars
On the Equivalence of TCM Encoders
Computational Neuroscience
Computational Neuroscience Journal Club
Division F Financial Modelling Group
High Frequency Trading on the NYSE Liffe Platform
Inference Group
Introduction to information theory
Microsoft Research Cambridge, public talks
Evaluating User-Adaptive Systems: Lessons from Experiences with a Personalized Meeting Scheduling Assistant
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Exploiting Variable Impedance for Robotics: Mimic or Optimize?
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
Combinatorial Channel Signature Modulation for Wireless ad-hoc Networks
Computational Neuroscience
Computational Neuroscience Journal Club
Probabilistic Systems, Information, and Inference Group Seminars
Monte Carlo Inference for Alpha-Stable Processes
Microsoft Research Cambridge, public talks
Covering problems arising in Gamma Knife radiosurgery
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Security in untrusted storage
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Information bottleneck
β οΈ Please note the change in time. This RCC will take place at 15:00-16.30pm.
Probabilistic Systems, Information, and Inference Group Seminars
Optimal proposal densities for particle filters
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
The Undiscovered Continents of Human Potential
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Ensemble Methods in Machine Learning
Microsoft Research Cambridge, public talks
Practical Abstractions for Dynamic and Parallel Software
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Homomorphic Encryption from Ring Learning with Errors
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
High-throughput, Multiscale modelling approaches for understanding bacterial signalling
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
Rao-Blackwellized Particle Smoothing for Conditionally Linear Gaussian Models (NOTICE CHANGED TIME!)
Microsoft Research Cambridge, public talks
Naiad: Iterative and Incremental Data-Parallelism using Differential Dataflow
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
Compressible distributions and Compressed Sensing
Machine Learning @ CUED
Scaling Machine Learning for the Internet
CUED Control Group Seminars
Design and flight testing of nonlinear flight control laws
Microsoft Research Machine Learning and Perception Seminars
Closing the gap between weakly and fully supervised methods
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Bound Analysis of Imperative Programs with the Size-change Abstraction
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
The SUDOKU Coding Project
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Bayesian Quadrature for Prediction and Optimisation
Computational Neuroscience
Modeling a non-linear EPSPs integration site in dendrites and its impact on computational capacities
Microsoft Research Cambridge, public talks
Concurrency Assertions β Providing the Right Semantics to ASSERT Statements
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
Recursive parameter estimation procedures
Machine Learning @ CUED
Efficient MCMC for Continuous Time Discrete State Systems
Probabilistic Systems, Information, and Inference Group Seminars
Monocular 3D Pose Estimation
Microsoft Research Cambridge, public talks
Complementing User-Level Coarse-Grain Parallelism with Implicit Speculative Parallelism
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Bayesian Computation Without Tears: Probabilistic Programming and Universal Stochastic Inference
CUED Control Group Seminars
Hankel structured low rank matrix completion
Microsoft Research Machine Learning and Perception Seminars
Beyond the Piece of Cardboard: Learning to Adjust Photographs
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Real versus Realistically Rendered Ground Truth: Can we use Computer Graphics for Performance Evaluation?
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
A Maximum Entropy Perspective on Spectral Dimensionality Reduction
Microsoft Research Cambridge, public talks
Spanish forest dynamics: Constraining models with data
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Approximate Inference in Gaussian Process Models
Probabilistic Systems, Information, and Inference Group Seminars
Data sketching for cardinality and entropy estimation
Microsoft Research Cambridge, public talks
CMA-ES β a Stochastic Second-Order Method for Function-Value FreeNumerical Optimization
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
PARIS: Probabilistic Alignment of Relations, Instances, and Schema
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
The Marriage of Bisimulations and Kripke Logical Relations
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Probabilistic programs and the computability and complexity of Bayesian reasoning
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Information Retrieval based Program Synthesis
Microsoft Research Cambridge, public talks
Large-scale Retrieval with Ivory and MapReduce
Microsoft Research Cambridge, public talks
Analysing biological information processing with mechanistic modular models
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Proper local scoring rules
Probabilistic Systems, Information, and Inference Group Seminars
Local Sequential Monte Carlo Methods
Machine Learning @ CUED
Variational Inference for Non-Conjugate Models
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Poirot β a concurrency sleuth
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED
Hyper and structural Markov laws for graphical models
Microsoft Research Cambridge, public talks
Natural Interactions & Computing for Global Development at MSR India
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
Second- versus fourth-order dynamics in imaging
Machine Learning @ CUED
Not so naive Bayesian classification
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Machine Learning and Perception Seminars
Exclusive PΓ³lya Urns and their applications
β οΈ o This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Machine Learning @ CUED
Bayesian Nonparametrics: Latent Feature and Prediction Models, and Efficient Inference
Machine Learning @ CUED
Machine Learning Markets
CUED Control Group Seminars
An internal model principle for consensus in heterogeneous multi-agent systems
Microsoft Research Cambridge, public talks
Structured Prediction Models for High-level Computer Vision Tasks
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Factored Shapes and Appearances for Parts-based Object Understanding AND Transformation Equivariant Boltzmann Machines
Computational Neuroscience
Reconciling intuitive and Newtonian physics
Machine Learning @ CUED
Optimal Reinforcement Learning for Gaussian Systems
CUED Control Group Seminars
Robust stability analysis of linear time-varying feedback systems
Machine Learning @ CUED
Exclusive PΓ³lya Urns and their applications
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Machine Learning and Perception Seminars
Information-Greedy Global Optimisation
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
Universal laws, architectures, and behaviors of robust, evolvable networks
Probabilistic Systems, Information, and Inference Group Seminars
Applications of Image Registration
Probabilistic Systems, Information, and Inference Group Seminars
Applications of Image Registration
Microsoft Research Cambridge, public talks
Abstractions in Satisfiability Solvers
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
The IITM Model and its Application to the Analysis of Real-World Security Protocol
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CUED Control Group Seminars
L1 Adaptive Control and Its Transition to Practice
Microsoft Research Cambridge, public talks
SpecNet: Spectrum Sensing Sans Fronti`eres
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Mechanism Design without Money via Stable Matching
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
"Coupled dynamics of traits and populations in response to environmental change".
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Vector Commitments with Efficient Protocols for Privacy-preserving Smart Billing Applications
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Energy Functionals: Choices and Consequences For Medical Image Segmentation
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Practical Boogie (on the example of VCC)
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Statistical learning for structural neuroimaging data
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Microsoft Research Cambridge, public talks
"Egalitarian Gradient Descent": A General Preconditioning Scheme for Deformable Image Registration
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
SocialFusion: Fusing Mobile, Sensor, and Social Computing in the Cloud To Enable Next-Generation Context-Aware Applications
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Tunable Static Inference for Generic Universe Types
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Approximate Bayesian Inference for Large Scale Inverse Problems: A Computational Viewpoint
Microsoft Research Cambridge, public talks
Perception by "Patterns" in the Brain
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Stochastic signal encoding strategies in cells
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
A Language for Type-Safe Web Programming
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Probing the basis of neuronal branching
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Some Practical Reflections on Graphical Models
Microsoft Research Cambridge, public talks
Plant Organs Regeneration: Measuring and Modelling SelfβOrganization
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars
Principles of Humanoid Locomotion Control
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Beyond Keyword Search: Discovering Relevant Scientific Literature
Microsoft Research Cambridge, public talks
From Gene Networks to Tissue Engineering: Computational Models of Pattern Formation
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Some recent developments in approximate inference: learning and control
Microsoft Research Cambridge, public talks
Search is not only about the Web - An Overview on Printed Document Search and Patent Search
Probabilistic Systems, Information, and Inference Group Seminars
Topics on joint source-channel coding and multiuser detection
Machine Learning @ CUED
Graphical Models for Bandit Problems
Microsoft Research Cambridge, public talks
Scaling transaction processing through data-oriented execution
β οΈ - This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Microsoft Research Cambridge, public talks
How to present a poster at an international conference
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Rough guide to being an entrepreneur
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Gadgeteer
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Blue skies to ground truth: Machine learning for Kinect human motion capture
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic Systems, Information, and Inference Group Seminars
Hard decisions do not cause a 2dB power loss
Microsoft Research Cambridge, public talks
Computer science as applied philosophy
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
Making the most of your PhD; now and in your career
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
How to give a great research talk
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
How to write a great research paper
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks
How to force unsupervised neural networks to discover the right representation of images
Probabilistic Systems, Information, and Inference Group Seminars
How Much Energy Is Required to Send One Bit Reliably over the Poisson Channel with Feedback?
Machine Intelligence Lab Seminar
Some new approaches to speech recognition and language modelling
Machine Learning @ CUED
Bayesian regression and classification with multivariate sparsifying priors
speech synthesis seminar series
Statistical Parametric Speech Synthesis Based on Speaker and Language Factorization
Computational Neuroscience
Organization of neuronal population activity in auditory cortex.
Microsoft Research Cambridge, public talks
PEPSI: Privacy-Enhanced Participatory Sensing Infrastructure
Microsoft Research Cambridge, public talks
Co-opetition in network tasks
Microsoft Research Cambridge, public talks
Identifying Peer Effects through Randomized Trials in Networks
Microsoft Research Cambridge, public talks
Network cognition and individual behaviour
Microsoft Research Cambridge, public talks
Network Formation in the Presence of Contagious Risk
CUED Control Group Seminars
Control Challenges in Powertrain, Combustion and Drilling Control
Microsoft Research Cambridge, public talks
Competitive Contagion in Networks
Microsoft Research Cambridge, public talks
Social networks, institutions, and the process of globalization
Microsoft Research Cambridge, public talks
Optimal Communication in Teams
Microsoft Research Cambridge, public talks
Social Network, Personality, and Performance
Microsoft Research Cambridge, public talks
Coming to Grips with Complexity in Computer-Aided Verification
Microsoft Research Cambridge, public talks
Efficient space-variant deconvolution
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Computing for Development: A New High Impact Research Area
Machine Learning @ CUED
An FX trading system using adaptive reinforcement learning
β οΈ (rescheduled from May 24th)
Microsoft Research Cambridge, public talks
Is my model too complex? Evaluating model formulation using model reduction
Machine Learning @ CUED
Censored Exploration in Dark Pools
Microsoft Research Cambridge, public talks
Programmable Self-Assembled DNA-Based Autonomous Molecular Devices
Probabilistic Systems, Information, and Inference Group Seminars
Sigma-Points, Cubatures and Rao-Blackwellization in Recursive Bayesian Estimation
Machine Intelligence Lab Seminar
Spectral Moment Features for Robust Speech Recognition
Machine Intelligence Lab Seminar
Incremental adaptation of speech recognition based on macroscopic time evolution system
Machine Learning Reading Group @ CUED
Connections between Gaussian Process Regression, Kalman filtering and RTS Smoothing
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
An FX trading system using adaptive reinforcement learning
β οΈ RESCHEDULED FOR JUNE 7th
Microsoft Research Cambridge, public talks
Fences and Stability in Weak Memory Models
Machine Learning Reading Group @ CUED
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
Microsoft Research Cambridge, public talks
How to Make Ad Hoc Proof Automation Less Ad Hoc
Microsoft Research Cambridge, public talks
Towards a comprehensive assessment of the interactions between the terrestrial biosphere and the climate system
Machine Learning Reading Group @ CUED
Expectation Propagation for POMDP Spoken Dialogue Models
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Active visual category learning
CUED Control Group Seminars
What's under the bonnet? A review of Diesel Engines and their control
Craik Club
Navigational guidance systems in the human brain
β οΈ The host for this talk is Dr. MΓ‘tΓ© Lengyel, Engineering Dept.
Microsoft Research Cambridge, public talks
Bringing Intelligence at the Edges to Accommodate Diversity in the Internet
Microsoft Research Cambridge, public talks
Algorithmic Market Design: Spectrum Sales and BitTorrent Communities
Microsoft Research Cambridge, public talks
Turing and Darwin: Saving the environment by combining computation and human insight
Probabilistic Systems, Information, and Inference Group Seminars
Coding problems involving values and their positions
Microsoft Research Cambridge, public talks
Fuzzy thinking: single neuron variation in RNA state space
Microsoft Research Cambridge, public talks
Can We Defy Natureβs End?
Microsoft Research Cambridge, public talks
Fifteen Years of Field Robotics in Australia
Microsoft Research Cambridge, public talks
The Complexity of the Homotopy Method, Equilibrium Selection, and Lemke-Howson Solutions
Microsoft Research Cambridge, public talks
Understanding and conserving biodiversity in a changing world
Microsoft Research Cambridge, public talks
Politics, Preferences and Permutations: Probabilistic Reasoning with Rankings
speech synthesis seminar series
Text analysis for speech synthesis
Microsoft Research Cambridge, public talks
Delay Reduction for Adaptive Scheduling in Wireless Networks and Aggregated Equilibrium for Resource Sharing Games
Microsoft Research Machine Learning and Perception Seminars
Formal Methods in Synthetic Biology
Microsoft Research Cambridge, public talks
Efficient Data Structures for Nonlinear Video Processing
Microsoft Research Cambridge, public talks
Towards a Colonic Crypt Model with Realistic, Deformable Geometry
Machine Learning @ CUED
Characterization of the Ewens-Pitman family of random partitions by a deletion property and a de Finetti-type theorem for exchangeable hierarchies
Microsoft Research Cambridge, public talks
Modeling and Evaluating Information Retrieval Results
Microsoft Research Cambridge, public talks
SSLShader: Cheap SSL Acceleration with Commodity Processors
Microsoft Research Cambridge, public talks
Active visual category learning
Microsoft Research Cambridge, public talks
Molecular evolution of stochastic switching
Microsoft Research Cambridge, public talks
Molecular evolution of stochastic switching
Microsoft Research Cambridge, public talks
Spatial Tactile Feedback Support for Mobile Touch-screen Devices
Microsoft Research Cambridge, public talks
3D Reconstruction meets GPGPU meets Image Analysis
Probabilistic Systems, Information, and Inference Group Seminars
Title to be confirmed
Microsoft Research Cambridge, public talks
Training Random Forests with Ambiguously Labeled Data
Microsoft Research Cambridge, public talks
Representing and Querying Large-scale Uncertainty
Microsoft Research Cambridge, public talks
Guessing Program Annotations with Probabilistic Inference
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Tracking and Analysis of Animal Movement
Microsoft Research Cambridge, public talks
Programming-Language Techniques for Secure Cryptography
Microsoft Research Cambridge, public talks
Optimization under Uncertainty: Understanding the Correlation Gap
CUED Control Group Seminars
A Step Beyond The State Of The Art Robust Model Predictive Control Synthesis Methods
Microsoft Research Cambridge, public talks
High-level Languages for Low-level Systems
Probabilistic Systems, Information, and Inference Group Seminars
Title to be confirmed
Microsoft Research Machine Learning and Perception Seminars
Enforcing topological constraints in energy-based image segmentation
Microsoft Research Cambridge, public talks
Research of the new Computer Vision and Mulitmodal Computing at MPI Sarrbruecken
Microsoft Research Cambridge, public talks
Executable Knowledge for Molecular Systems Biology
Microsoft Research Cambridge, public talks
Longitudinal Evaluation of API Usability and Designing Support for Collaborative Search around the Tabletop
Microsoft Research Machine Learning and Perception Seminars
On a first-order primal-dual algorithm with applications to convex problems in computer vision
Microsoft Research Cambridge, public talks
Learning generative models of images by factoring appearance and shape
Microsoft Research Cambridge, public talks
βOtherworldβ - Giving Applications a Chance to Survive OS Kernel Crashes
Microsoft Research Cambridge, public talks
Software Synthesis using Automated Reasoning
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Machine Learning for WLAN Positioning
Machine Learning @ CUED
Nonlinear Dynamics of Learning
Microsoft Research Cambridge, public talks
Hidden Markets: Designing Efficient but Simple Electronic Markets
Microsoft Research Cambridge, public talks
Optimization for Pixel Labeling Problems With Structured Layout
Microsoft Research Cambridge, public talks
Energy Minimization with Label Costs and Applications in Multi-Model Fitting
Machine Learning Reading Group @ CUED
Exchangeability
Microsoft Research Cambridge, public talks
Parameter Search and Robustness Analysis from Temporal Logic Specifications in Biochemical Reaction Networks
CUED Control Group Seminars
Specification, Design and Verification of Distributed Embedded Systems
speech synthesis seminar series
Context modelling in HMM based speech synthesis
Microsoft Research Cambridge, public talks
Reasoning about concurrent stochastic systems
Machine Learning @ CUED
Exponential Conditional Volatility Models
Machine Learning Reading Group @ CUED
Deep Belief Networks for Phone Recongition
Machine Learning @ CUED
Challenges in implementing the Bayesian paradigm
Machine Learning @ CUED
Expectation Propagation in Sparse Linear Models with Spike and Slab Priors
Machine Learning @ CUED
Probabilistic matrix factorization for reconstruction of missing data
Machine Learning Reading Group @ CUED
The effect of normalization -- a case study in speech synthesis
Microsoft Research Cambridge, public talks
Frugal Procurement Auction Design
speech synthesis seminar series
Speech Production Mechanism And Vocoding Technique In Statistical Parametric Speech Synthesis
β οΈ Sandwich will be provided.
CUED Control Group Seminars
Model Predictive Control Design and Implementation for Spacecraft Rendezvous
Machine Learning @ CUED
Title to be confirmed
Machine Learning Reading Group @ CUED
Post-NIPS Highlight session
Microsoft Research Cambridge, public talks
Logic and Probability: The Computational Connection
CUED Control Group Seminars
Simulation, Modelling and Embedded Deployment of Complex Algorithms
Machine Learning Reading Group @ CUED
Optimal weighted nearest neighbour classifiers
Probabilistic Systems, Information, and Inference Group Seminars
Extremes of Random Coding Error Exponents
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Learning and Coordination in Networks
Craik Club
Conserved principles of movement generation
β οΈ The host for this talk is Dr. MΓ‘tΓ© Lengyel, Engineering Dept., m.lengyel@eng.cam.ac.uk
Machine Learning Reading Group @ CUED
Kernel Methods
speech synthesis seminar series
New and emerging applications of 'adaptive' speech synthesis'
β οΈ Sandwich will be provided.
Machine Learning Reading Group @ CUED
Machine Learning techniques in computer vision applications
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Differential Geometric MCMC Methods
Machine Learning Reading Group @ CUED
Infinite multiple relational models for complex networks
Probabilistic Systems, Information, and Inference Group Seminars
Physical Layer Network coding for Next Generation Wireless Broadband Networks
speech synthesis seminar series
Modelling trajectories in statistical speech synthesis
β οΈ This is the second talk of the speech synthesis seminar series.
Microsoft Research Cambridge, public talks
Making OpenCL simple with Haskell
Machine Learning @ CUED
Mining viral datasets
Microsoft Research Cambridge, public talks
Albert Atserias, Universitat Politècnica de Catalunya, Microsoft Research Lectures
Microsoft Research Cambridge, public talks
Cooperation, Power and Conspiracies
Machine Learning Reading Group @ CUED
Completely Random Measures
Probabilistic Systems, Information, and Inference Group Seminars
Flexible Small Cell Green Networks: Breaking the Spectral Efficiency Barrier
Microsoft Research Cambridge, public talks
Experience and problems with compiling data parallel languages
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Universal Bayesian Agents: Theory and Applications
Machine Learning @ CUED
Machine learning in cancer research (a.k.a CRI meets CUED)
β οΈ (note new date)
Machine Learning @ CUED
Novi Quadrianto
speech synthesis seminar series
STATISTICAL SPEECH SYNTHESIS
Microsoft Research Cambridge, public talks
Branching vs. Linear Time: Semantical Perspective
Microsoft Research Cambridge, public talks
CIEL: a universal execution engine for distributed data-flow computing
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Improving the energy model of stereo matching algorithms
Microsoft Research Cambridge, public talks
Propagation of Rumour Through a Social Network
Microsoft Research Cambridge, public talks
Network Economics seminar / Diffusion and Cascading Behavior in Random Networks
Microsoft Research Cambridge, public talks
Towards Automation of Protein NMR
Microsoft Research Cambridge, public talks
How Hard is Competition for Rank?
Microsoft Research Cambridge, public talks
Software Lock Elision for x86 Machine Code
Machine Learning Reading Group @ CUED
Submodularity for Machine Learning
Microsoft Research Cambridge, public talks
Towards a Non-Commutative Logic of Effects,
Probabilistic Systems, Information, and Inference Group Seminars
Sequential Monte Carlo methods for estimating large scale volatility matrices - CANCELLED (to be rearranged in Lent term)
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Machine Learning and Perception Seminars
Handling temporal variation of unknown characteristics in streaming data analysis.
Machine Learning @ CUED
Learning item trees for collaborative filtering with implicit feedback
Microsoft Research Cambridge, public talks
Lifted Message Passing: A Step Towards Gaining a 'Big Picture' View on AI
Machine Learning @ CUED
Non-Smooth-Norm Image Reconstruction from Noisy Data
Machine Learning Reading Group @ CUED
NIPS Highlight Session
Microsoft Research Cambridge, public talks
Realizability and Parametricity in Pure Type Systems: An application
Microsoft Research Cambridge, public talks
Polynomial Learning of Distribution Families
Machine Learning Reading Group @ CUED
Poisson Processes
Microsoft Research Cambridge, public talks
Verification of Imperative Programs Through Characteristic Formulae
Machine Learning @ CUED
Crowdsourcing data modelling
Probabilistic Systems, Information, and Inference Group Seminars
Bayesian Alignment of Unlabelled Marked Point Sets Using Random Fields
Computational Neuroscience
Computational neuroscience journal club
Machine Learning Reading Group @ CUED
Convex Optimisation
Microsoft Research Machine Learning and Perception Seminars
Bayesian Inference with Kernels
Microsoft Research Cambridge, public talks
Bayesian Inference with Kernels
Microsoft Research Cambridge, public talks
How can we model complex ecosystems with stochastic interactions between individuals at different spatial and temporal scales? Some case studies
Microsoft Research Cambridge, public talks
Modelling ecological systems under environmental change.
Microsoft Research Cambridge, public talks
Three Small Steps ... to Reconceiving Machine Learning
Microsoft Research Cambridge, public talks
Using SAT Solvers for Cryptographic Problems
Machine Learning @ CUED
Short talks: Mixed Cumulative Distribution Networks; Nonparametric Bayesian community discovery in social networks; Expectation Propagation for Dirichlet Process Mixture Models
Microsoft Research Cambridge, public talks
Async in Visual Basic and C# - worth the Await!
Microsoft Research Cambridge, public talks
Statistical Significance Analysis of Motif Discovery
Machine Learning Reading Group @ CUED
An Introduction to Bayesian Statistics
Microsoft Research Cambridge, public talks
A relationship-based approach to the verification of multi-object invariants
Probabilistic Systems, Information, and Inference Group Seminars
Online temporally adaptive parameter estimation with applications to streaming data analysis.
Microsoft Research Machine Learning and Perception Seminars
Affective Technology
Microsoft Research Cambridge, public talks
Probabilistic models for time-series with different underlying dynamics regimes with application to robot imitation learning
Probabilistic Systems, Information, and Inference Group Seminars
Joint Algorithm/Architecture Design of Communication Systems
Probabilistic Systems, Information, and Inference Group Seminars
Improving ARMA-GARCH Forecasting
CUED Control Group Seminars
On the structural controllability of networks of linear systems
Machine Learning Reading Group @ CUED
Herding or a '3rd way to learn'
Computational Neuroscience
Parallel dendritic processing and hippocampal spatial representations
Zangwill Club
How the brain makes decisions
β οΈ Tea and Cakes available in 2nd Floor Seminar Room from 4pm
Microsoft Research Cambridge, public talks
Engineering Genetic Circuits
Machine Learning Reading Group @ CUED
Advanced Scientific Programming in Python
Probabilistic Systems, Information, and Inference Group Seminars
Adaptive Monte Carlo on multivariate binary sampling spaces
Machine Learning Reading Group @ CUED
Unsupervised Grammar Induction
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Searching for Knowledge Instead of Web Pages
Microsoft Research Cambridge, public talks
Food Webs, and how they got that way
Probabilistic Systems, Information, and Inference Group Seminars
Adaptive Networks and Bio-Inspired Cognition
Computational Neuroscience
Optimality among optimals: decision making from neurobiological βnoisyβ signals within the cortico-basal-ganglia system
Machine Learning @ CUED
Bayesian Inference with Kernels
Microsoft Research Cambridge, public talks
SSH: A Case Study of Cryptography in Theory and Practice
Microsoft Research Cambridge, public talks
Testing and fault localization in constraint programs
Microsoft Research Cambridge, public talks
Towards Systematic Design of Enterprise Networks
Computational and Biological Learning Seminar Series
Continuous control of brain computer interfaces based on a covert spatial attention paradigm
Microsoft Research Cambridge, public talks
Noise and the two-thirds power law
Microsoft Research Cambridge, public talks
Golden-i, a head-mounted computer
Computational Neuroscience
Translational biomedical informatics research in a clinical neurosurgery environment
Microsoft Research Cambridge, general interest public talks
Diderot: A Parallel Domain-Specific Language for Image Analysis
Machine Learning @ CUED
On the Equivalence of Graph Cuts and Max-product Belief Propagation
Microsoft Research Cambridge, public talks
Frugality in set-system auctions
β οΈ Edith Elkind, Nanyang Technological University, Singapore
Microsoft Research Cambridge, public talks
The Little Engine(s) that could: Scaling Online Social Networks
CUED Control Group Seminars
The Weiss conjecture for infinite dimensional control systems
Microsoft Research Cambridge, public talks
Search methods based on Monte-Carlo simulation
Microsoft Research Cambridge, public talks
Information Asymmetries in Pay-Per-Bid Auctions: How Swoopo Makes Bank
Machine Learning @ CUED
Culture wars, voting and polarization: divisions and unities in modern American politics
β οΈ general audience talk (non-technical) -- NOTE change of room to LR4!
Machine Learning @ CUED
Creating structured and ο¬exible models: some open problems
Machine Learning @ CUED
Efficient Bayesian analysis of multiple changepoint models
Probabilistic Systems, Information, and Inference Group Seminars
Sensor Networks for the Sake of Security - NOW FRIDAY 23rd JULY
Microsoft Research Cambridge, public talks
Concurrency and Communication: Lessons from the SHIM Project
Machine Learning @ CUED
Learning Common Grammar from Multilingual Corpus / Online Multiscale Dynamic Topic Models
Microsoft Research Cambridge, public talks
Post-Silicon Validation: New Frontiers for Formal Verification Research
Machine Learning @ CUED
Scalable Parallel Computing with CUDA
Microsoft Research Cambridge, public talks
GPU programming: bugs, pitfalls and the importance of correctness in biomedical and scientific applications
Microsoft Research Cambridge, public talks
Using transformed domains to sparsify Gaussian Processes
Microsoft Research Cambridge, public talks
Using transformed domains to sparsify Gaussian Processes
Machine Learning @ CUED
Using transformed domains to sparsify Gaussian Processes
Probabilistic Systems, Information, and Inference Group Seminars
Functional methods for the design of shiftable and steerable wavelet transforms
Microsoft Research Cambridge, public talks
How can we use digital pens in a collaborative environment?
Microsoft Research Cambridge, public talks
Local Action Traces and Abstract Concurrent Separation Logic
Machine Learning @ CUED
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Microsoft Research Cambridge, public talks
Frameworks for segmentation, classification, and nonstationary image processing with applications to disease assessment
Microsoft Research Cambridge, public talks
International Workshop on Tractability; 5-6 July 2010
CUED Control Group Seminars
Performance limitations of networked systems with information constraints
Microsoft Research Cambridge, public talks
Symbolic Techniques in Propositional Satisfiability Solving
Microsoft Research Summer School
Cloud computing for research
Microsoft Research Summer School
To infinity and beyond with nonparametric Bayesian methods
Microsoft Research Summer School
Acquiring syntactic and semantic transformations in question answering
Microsoft Research Summer School
Tracking and localisation for speech and robotics
Microsoft Research Summer School
Communications, Travel and Social Networks since 1840: A Study Using Agent-based Models
Microsoft Research Summer School
Static contract checking for Haskell
Microsoft Research Summer School
From program analysis research to industrial programming language development
Microsoft Research Summer School
From driving to trafficking: the developing view of the user in computer systems design
Microsoft Research Summer School
Microsoft Research Summer School Posters session 3
Microsoft Research Summer School
Simulation and data analysis with Windows Azure
Microsoft Research Summer School
Fun with F#: Solving complex problems with simple code
Microsoft Research Summer School
From data to knowledge
Microsoft Research Summer School
Infer.NET and probabilistic programming
Microsoft Research Summer School
Ten things you donβt know about Microsoft
Microsoft Research Summer School
Molecular programming
Microsoft Research Summer School
Simulating global carbon-climate feedback
Microsoft Research Summer School
Rough guide to being an entrepreneur
Microsoft Research Summer School
Microsoft Research Summer School Posters session 2
Microsoft Research Summer School
How to give a great research talk
Microsoft Research Summer School
Presentation skills
Microsoft Research Summer School
Microsoft Research Summer School Posters session 1
Microsoft Research Summer School
How to write a great research paper
CUED Control Group Seminars
Fundamental limits on the suppression of molecular fluctuations
Microsoft Research Cambridge, general interest public talks
Information, Networks and Markets
Microsoft Research Cambridge, public talks
Energy as Syntax - an attempt at a thermodynamical framework for combinatorial molecular networks
Probabilistic Systems, Information, and Inference Group Seminars
CANCELLED
Machine Learning @ CUED
Natural Conjugate Gradient Learning for Fixed-Form Variational Bayes
Machine Learning @ CUED
Sparse Factor Analysis Applied to Three Biological Problems
Machine Learning @ CUED
Using topic models to help cure cancer
Machine Learning Reading Group @ CUED
Structured Learning and Structural SVMs
Microsoft Research Cambridge, public talks
Geometry of Synthesis: Semantics-directed hardware compilation
Machine Learning @ CUED
Structured Prediction Cascades
Machine Learning @ CUED
Parametric Bandits, Query Learning, and the Haystack Dimension
Machine Learning Reading Group @ CUED
Conditional Random Fields : Theory and Application
Microsoft Research Cambridge, public talks
Diffuse Programming
Probabilistic Systems, Information, and Inference Group Seminars
Title to be confirmed
Microsoft Research Cambridge, public talks
Images as Sets of Locally Weighted Features
Microsoft Research Cambridge, public talks
Hermes: Clustering Users in Large-Scale E-mail Services
Microsoft Research Cambridge, public talks
Practical performance models for complex, popular applications
CUED Control Group Seminars
SIMPLY COOPERATIVE
Microsoft Research Cambridge, public talks
Before pixels
Probabilistic Systems, Information, and Inference Group Seminars
Adaptive Sensing and Information
Microsoft Research Cambridge, public talks
A proof rule for multi-threaded programs
Microsoft Research Cambridge, public talks
Prof. Robert Nowak, University of Wisconsin; MSR Lectures
Computational Neuroscience
Learning predictive models for visual motion extrapolation
Computational Neuroscience
From tuning curves to behaviour
Machine Learning Reading Group @ CUED
Topics in Statistical Machine Translation
Probabilistic Systems, Information, and Inference Group Seminars
Exploring ODE model uncertainty via diffusions, with application to physiological processes
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Derek Dreyer, MPI-SWS; Microsoft Research Lectures
Microsoft Research Cambridge, public talks
On Bayes-Nash implementation of combinatorial auctions: structure and efficiency
Machine Learning Reading Group @ CUED
Title to be confirmed
Microsoft Research Cambridge, public talks
Abstract Interpretation for Liveness using Metric Spaces
Microsoft Research PhD Scholars
Abstract Interpretation for Liveness using Metric Spaces
CUED Control Group Seminars
Embedded Optimization for Optimal Control of Mechatronic Systems
Computational Neuroscience
Mapping affective decisions in depression using reinforcement learning tools
Probabilistic Systems, Information, and Inference Group Seminars
Local scoring rules
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Optimal experiment design for open and closed loop identification
Microsoft Research Cambridge, public talks
Visual Computing for Next-Generation Display and Imaging
Microsoft Research Cambridge, public talks
Static Verification of Concurrent Programs using Reduction and Abstraction
Microsoft Research Cambridge, public talks
The State of Secondary Level Computer Science Education in the USA
Microsoft Research Cambridge, public talks
Deep Web Data: Analysis, Extraction, and Modelling
Microsoft Research Cambridge, public talks
On the stability of flow-aware CSMA
Microsoft Research Cambridge, public talks
Incremental Modelling and Verification of the PCI Express Transaction and Data-Link Layers
Machine Learning Reading Group @ CUED
Bundle methods and its application in machine learning
Microsoft Research Cambridge, public talks
A comparison of some recent task-centric parallel programming models
Probabilistic Systems, Information, and Inference Group Seminars
Bayesian inference for exponential random graphs - POSTPONED DUE TO TRAVEL DIFFICULTIES
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Secrets of the Microsoft SQL Server Query Optimizer
CUED Control Group Seminars
Matrix Inequalities with Matrix Unknowns
Microsoft Research Cambridge, public talks
Building Algorithms for FPGAs
Microsoft Research Cambridge, public talks
Learning, Planning and Representing Knowledge from Primitive Experience
Microsoft Research Cambridge, public talks
Submodularity and Valued Constraint Satisfaction Problems
Microsoft Research Cambridge, general interest public talks
Towards physical basis for Ambient Intelligence β a critical driver for the future of printed electronics and optoelectronics β βItβs not the materials, itβs the effects talkingβ
Probabilistic Systems, Information, and Inference Group Seminars
Regional Climate Change Impact Assessments, Knowledge Action Networks, and the Cambridge/UCSD Global Water Initiative
Microsoft Research Cambridge, public talks
Opportunistic Spectrum Access with Multiple Users: Learning under Competition
Microsoft Research Cambridge, public talks
Sparse Model Recovery via Iterative Algorithms
Microsoft Research Cambridge, public talks
Proactive Resilience Revisited: Resisting Intrusions means more than Byzantine Fault Tolerance
CUED Control Group Seminars
Collaborating Swarms, Multi-network Topologies and Constrained Coalitional Games
Microsoft Research Cambridge, public talks
Incremental Modelling and Verification of the PCI Express Transaction and Data-Link Layers
Microsoft Research Cambridge, general interest public talks
Networks in Crisis
β οΈ http://www.gold.ac.uk/design/
Probabilistic Systems, Information, and Inference Group Seminars
Itakura-Saito nonnegative factorizations of the power spectrogram for music signal decomposition
Machine Learning Reading Group @ CUED
Sparsification for Gaussian Processes for Regression
Microsoft Research Cambridge, public talks
Abandoning Prenex Clausal Normal Form in QBF Solving
Machine Learning @ CUED
Slice sampling with latent Gaussian models
Microsoft Research Cambridge, public talks
Michael Weber, University of Twente; Microsoft Research Lectures
Microsoft Research Cambridge, public talks
Datalog+/- : A Framework for Tractable Query Answering over Ontologies
Machine Learning Reading Group @ CUED
Title to be confirmed
Machine Learning @ CUED
Dynamic Network Tomography: Model, Algorithm, Theory, and Application
Machine Learning @ CUED
Making Sense of Data - A Research Agenda
Machine Learning @ CUED
Subspace Codes for Adversarial Error-Correction in Network Coding
β οΈ short talk
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Bayesian Inference in Networks of Queues
Machine Learning @ CUED
Stochastic Outlier Selection
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Event-triggered sampling for state estimation
Machine Learning Reading Group @ CUED
Title to be confirmed
Probabilistic Systems, Information, and Inference Group Seminars
Estimation of Noisy Diffusions
Microsoft Research Cambridge, public talks
Stationary Subspace Analysis
Microsoft Research PhD Scholars
Literacy and ICT: Social Constructions in the Lives of Low-literate Youth in Ethiopia & Malawi
Machine Learning Reading Group @ CUED
Semi supervised learning
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
SMALL, MEDIUM, LARGE: NONLINEAR SYSTEMS ANALYSIS TOOLS USING SUM OF SQUARES
CUED Control Group Seminars
Energy Flow in Interconnected Systems
Microsoft Research Cambridge, public talks
You are not a gadget
Machine Learning Reading Group @ CUED
Variational inference in graphical models: The view from the marginal polytope
Probabilistic Systems, Information, and Inference Group Seminars
Adaptive MCMC and Bayesian time-frequency analysis
Machine Learning @ CUED
Mind Reading by Machine Learning: Optimal Experimental Design
β οΈ Short talk
Machine Intelligence Laboratory Speech Seminars
Towards Tree-to-Tree Translation
CUED Control Group Seminars
Performance Improvement in Paper Making using Model Predictive Control
Microsoft Research Cambridge, public talks
L_p-Spherically Symmetric and L_p-nested Distributions for Patches of Natural Images
Machine Learning Reading Group @ CUED
The Fractional Belief Propagation menace
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Efficient Bayesian Model Comparison with Differential Equations: a Population MCMC Approach via the Thermodynamic Integral
Microsoft Research PhD Scholars
Efficient Bayesian Model Comparison with Differential Equations: a Population MCMC Approach via the Thermodynamic Integral
Machine Learning Reading Group @ CUED
(Canceled) A Causal Calculus for Statistical Research
β οΈ Canceled
Microsoft Research Cambridge, public talks
Riemannian Manifold Hamiltonian Monte Carlo
Microsoft Research Cambridge, public talks
Inferring Signaling Pathway Topologies from Multiple Perturbation Measurements of Specific Biochemical Species : A model-based approach
Machine Learning @ CUED
Machine Learning Course (4F13)
β οΈ 4F13 course - repeats Wed, Thurs at 10am during Lent
Machine Learning Reading Group @ CUED
RCC Planning Meeting
Machine Learning @ CUED
Machine Learning Course (4F13)
β οΈ 4F13 course - repeats Wed, Thurs at 10am during Lent
CUED Control Group Seminars
Q-learning and Pontryagin's Minimum Principle
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Unbounded-depth hierarchical Pitman-Yor processes
Microsoft Research Cambridge, general interest public talks
Predicting biological functions at different spatial scales: From molecules to ecosystems
Probabilistic Systems, Information, and Inference Group Seminars
Marginal and joint space representations within ABC, and the issue of bias
CUED Control Group Seminars
Stochastic Model Predictive Control: Tractability and constraint satisfaction
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research PhD Scholars
Experimental and computational approaches to implicit learning of musical structure
CUED Control Group Seminars
Verifying stability of approximate explicit MPC
Machine Learning Reading Group @ CUED
Learning rates in Bayesian nonparametrics
Probabilistic Systems, Information, and Inference Group Seminars
Lookahead in Sequential Monte Carlo
Microsoft Research Cambridge, general interest public talks
8TH INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS MULTIMEDIA (MUM 2009)
CUED Control Group Seminars
Teaching control using lego
Machine Learning @ CUED
Indian Buffet Processes with Power-law Behaviour
Machine Learning @ CUED
Gaussian Processes for Active Data Selection, Faults, Changepoints and Sensor Selection
Probabilistic Systems, Information, and Inference Group Seminars
Massively Parallel Advanced Monte Carlo Methods on Many-Core Processors
Probabilistic Systems, Information, and Inference Group Seminars
Recent results on Bayesian image recovery
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Fault-tolerant control - is it possible?
Machine Learning Reading Group @ CUED
Bayesian Agglomerative Clustering with Coalescents
Machine Learning @ CUED
KL control theory and decision making under uncertainty
Microsoft Research Cambridge, public talks
Proving the Correctness of Abstract Concurrency Control and Recovery
Microsoft Research Cambridge, public talks
Nesting Transactions: Why and What Do We Need?
Machine Learning Reading Group @ CUED
Machine Learning RCC - Bayesian Agglomerative Clustering with Coalescents, Teh, DaumΓ© and Roy, NIPS 2007
CUED Control Group Seminars
Recent Theoretical Developments in Optimal Control
Machine Learning Reading Group @ CUED
Filtering of Noisy Time-Series Data
Probabilistic Systems, Information, and Inference Group Seminars
An Adaptive Sequential Monte Carlo Algorithm For Bayesian Mixture Analysis
Computational Neuroscience
Computational Neuroscience Journal Club
Adrian Seminars in Neuroscience
βModeling synaptic plasticity across multiple time scalesβ.
Microsoft Research PhD Scholars
Value Ordering Heuristics for Quantified Constraint Satisfaction
Machine Learning Reading Group @ CUED
Speed Reviewing
Machine Learning @ CUED
Information theoretic model selection in clustering
Computational Neuroscience
On the Games Neurons Play (in Visual Cortex)
Machine Learning Reading Group @ CUED
High-dimensional variable selection via sure independence screening
Probabilistic Systems, Information, and Inference Group Seminars
Optimal scaling of the random walk Metropolis
Microsoft Research Cambridge, general interest public talks
Statistical network analysis in computational genomics
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Ensemble Methods in Machine Learning
Machine Learning @ CUED
Motor Skills Learning for Robotics
Machine Learning Reading Group @ CUED
Structured prediction using energy-based models
Probabilistic Systems, Information, and Inference Group Seminars
Rare Event Simulation for Processes with Light Tailed Increments
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
-
Machine Learning Reading Group @ CUED
Technical Writing II
Microsoft Research Cambridge, general interest public talks
Generalized, Efficient Array Decision procedures
Microsoft Research Cambridge, public talks
Data redundancy and maintenance in peer-to-peer file backup systems
Computational Neuroscience
Reduced cortical neuron models: Experiment and theory
Probabilistic Systems, Information, and Inference Group Seminars
Rare Event Simulation for Processes with Light Tailed Increments
Machine Learning @ CUED
Coconut: Optimizing computations for machine learning
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks
Use phase signals to promote lifetime extension for desktop PCs
Inference Group
Capacity of Spiking Neural Networks
CUED Control Group Seminars
Mobile Wireless Networked Controlled Systems: Control Issues
Machine Intelligence Laboratory Speech Seminars
Multi-view Learning of Speech Feature Spaces
Probabilistic Systems, Information, and Inference Group Seminars
Testing for Local Stationarity in Acoustic Signals: Parametric and Nonparametric Approaches
Machine Intelligence Laboratory Speech Seminars
Bayesian Learning Approaches for Speech Recognition
Probabilistic Systems, Information, and Inference Group Seminars
Bit-Interleaved Coded Modulation Systems with Quantized Soft-Out Demodulators
Probabilistic Systems, Information, and Inference Group Seminars
Network Coding for the Multiple Access Channel
Machine Intelligence Laboratory Speech Seminars
Factors Affecting ASR Model Self-Training
Machine Learning @ CUED
Convex Variational Bayesian Inference for Large Scale Generalized Linear Models
Probabilistic Systems, Information, and Inference Group Seminars
Toward Sparse and Structured Projections for Compressed Sensing
Machine Learning @ CUED
Computable Probability Theory
Microsoft Research Cambridge, general interest public talks
Machine Learning Reveals the Genetic Code Controlling Splicing
Microsoft Research Cambridge, public talks
Towards focusing research and innovations on local needs: If wireless technologies are to connect the wireless continent
Microsoft Research Cambridge, general interest public talks
From Verification to Synthesis
Microsoft Research Cambridge, public talks
Learning Deep Architectures
Microsoft Research Cambridge, public talks
Cops, Crops and Mobile Phones: Machine Learning in Africa
Microsoft Research Summer School
Sustainable energy without the hot air
Microsoft Research Summer School
Giving a good presentation
Microsoft Research Summer School
Introduction to intellectual property
Machine Learning Reading Group @ CUED
Hessian-based Markov-Chain Monte Carlo Algorithms
Microsoft Research Summer School
Enabling intelligent management of the environment
Microsoft Research Summer School
Forza, Halo, Xbox Live: The magic of research in products
Probabilistic Systems, Information, and Inference Group Seminars
Sparse Approximation and Atomic Decomposition: Considering Atom Interactions in Evaluating and Building Signal Representations
Microsoft Research Summer School
Systems and networking research at MSR Cambridge
Microsoft Research Summer School
New hardware enabling new user experiences
Microsoft Research Summer School
How to manage your supervisor
Microsoft Research Summer School
WorldWide Telescope - A computational science innovation
β οΈ New time
Microsoft Research Summer School
Tools and services for data intensive research
Microsoft Research Summer School
The executable pathway to biological networks
Microsoft Research Summer School
Principles and applications of refinement types
Microsoft Research Summer School
Hitchhikers guide to machine learning
Microsoft Research Summer School
Rough guide to being an entrepreneur
Microsoft Research Summer School
EU opportunities for young researchers
Microsoft Research Summer School
Hybrids of generative and discriminative models
Microsoft Research Cambridge, public talks
Towards a Network Measurement Science
Microsoft Research Summer School
New kinds of software for new kinds of science
Microsoft Research Summer School
How to give a great research talk
Microsoft Research Summer School
How to write a great research paper
CUED Control Group Seminars
Load balancing by network curvature control
Microsoft Research Cambridge, general interest public talks
Refactoring with Generics
Probabilistic Systems, Information, and Inference Group Seminars
Routing and Network Coding on Lines, Stars, and Rings
Computational Neuroscience
Computational Neuroscience Journal Club
CoSBi Computational and Systems Biology Series
Analyzing the effect of noise on various models of Circadian Clock and Cell Cycle coupling
CUED Control Group Seminars
Synchronverters: Inverters that mimic synchronous generators
Machine Learning Reading Group @ CUED
Slice Sampling
Probabilistic Systems, Information, and Inference Group Seminars
Factor Analysis with a Mixture of Gaussian Factors, with Application to Separation of the Cosmic Microwave Background
CoSBi Computational and Systems Biology Series
Topological keystone species: network analysis in modern systems ecology
Microsoft Research Cambridge, general interest public talks
Workshop on Networks, Auctions and Pricing - 1 Day
Computational Neuroscience
Is the homunculus `aware' of sensory adaptation?
Microsoft Research Cambridge, general interest public talks
Towards disposable healthcare devices: a paradigm shift
CoSBi Computational and Systems Biology Series
Complexity and Robustness in Colonies of Agents: A Formal Languages and a Game Theory Approach
Microsoft Research Cambridge, general interest public talks
Domain Knowledge Driven Program Analysis
Dr Fabien Petitcolas's list
Semantic Image Segmentation and Web-Supervised Visual Learning
Microsoft Research Cambridge, general interest public talks
Robot Scientists and the automated scientific laboratory
Microsoft Research Symposium
From microscopic to macroscopic descriptions of cell migration on growing domains
Computational Neuroscience
Computational Neuroscience Journal Club
Microsoft Research Symposium
Informed matter: The confluence of information processes and material science
Microsoft Research Symposium
Visual search and mining of large scale image collections
Microsoft Research Symposium
Progress on development of a microfluidic robot scientist
Machine Learning @ CUED
Using gradient descent for optimization and learning
Probabilistic Systems, Information, and Inference Group Seminars
Research Challenges in Cognitive Radio Networks
Machine Learning Reading Group @ CUED
Technical Writing
CoSBi Computational and Systems Biology Series
Study disease-causing genes based on protein-protein interaction networks
Computational Neuroscience
Computational Neuroscience Journal Club
CoSBi Computational and Systems Biology Series
Stochastic simulation algorithms and analysis of biological systems
Machine Learning Reading Group @ CUED
Divergence measures and message passing
CoSBi Computational and Systems Biology Series
Model Abstraction Methodology for Temporal Behavior Analysis of Multiscale Biological Systems
CoSBi Computational and Systems Biology Series
Chemotaxis. Do we understand it all?
Machine Learning Reading Group @ CUED
The IBM approach to speech separation
Computational Neuroscience
Computational Neuroscience Journal Club
Probabilistic Systems, Information, and Inference Group Seminars
Approximate Sparsity Recovery from Noisy Compressed Sensing
CUED Control Group Seminars
Gradient systems: overview and recent results
Machine Learning Reading Group @ CUED
Parsing Images the UCLA Way
Machine Learning Reading Group @ CUED
Hilbert space embedding of probability distributions
Dr Fabien Petitcolas's list
Symbolic Shape Analysis
Microsoft Research Cambridge, general interest public talks
TBC
CoSBi Computational and Systems Biology Series
Dynamics of cell cycle transitions
Computational Neuroscience
Computational Neuroscience Journal Club
CoSBi Computational and Systems Biology Series
Exploiting non-Markovian Bio-Processes within BlenX
CUED Control Group Seminars
ROBUST PRACTICAL OUTPUT TRACKING FOR HIGHLY NONLINEAR SYSTEMS
CUED Control Group Seminars
Feedback and Robustness in Population Dynamics
CoSBi Computational and Systems Biology Series
A parallel perspective of the dynamics of biological reactive systems
CoSBi Computational and Systems Biology Series
KInfer and BetaWB: tools for supporting the modeling workflow of Biological Systems
Computational and Biological Learning Seminar Series
Algorithms for Understanding Motor Cortical Processing and Neural Prosthetic Systems
Probabilistic Systems, Information, and Inference Group Seminars
Classification and Dimensionality Reduction using Convex Class Models
CUED Control Group Seminars
Overview of Control Systems Research at the Rolls-Royce Control and Systems University Technology Centre.
Computational Neuroscience
Coding with envelopes, receptive fields and plasticity
CoSBi Computational and Systems Biology Series
A Framework study of the NF-kB signalling pathway
Machine Learning @ CUED
Learning from Measurements in Exponential Families
Computational Neuroscience
Computational Neuroscience Journal Club
CoSBi Computational and Systems Biology Series
On the deduction of chemical reaction rate constants from measurements of time series of concentration
Dr Fabien Petitcolas's list
Metadata Management
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Bregman Divergences and Machine Learning
CoSBi Computational and Systems Biology Series
Evolutionary computation: optimization and inference
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Shrinkage regression for multivariate inference with missing data, with an application to portfolio balancing
CoSBi Computational and Systems Biology Series
Visual systems biology: design, understand, organize
Machine Learning @ CUED
Quasi-linear Sensor Management
Machine Learning Reading Group @ CUED
The Convex Concave Procedure
Probabilistic Systems, Information, and Inference Group Seminars
Learning transformational invariants from natural movies
Machine Learning Reading Group @ CUED
Hybrids of Generative and Discriminative Models (Cont)
Probabilistic Systems, Information, and Inference Group Seminars
Filter Design with Secrecy Constraints
Computational Neuroscience
Computational Neuroscience Journal Club
Computational and Biological Learning Seminar Series
Mind reading by machine learning: an ideal observer based analysis of cognitive scientific experiments
CUED Control Group Seminars
Analytical solutions, duality and symmetry in constrained control and estimation
Machine Learning @ CUED
Generalization in Learning
Machine Learning Reading Group @ CUED
Large Margin Training of Hidden Markov Models
Probabilistic Systems, Information, and Inference Group Seminars
Visual Signal Processing Algorithms in Post Production
Machine Learning @ CUED
Stochastic control as an inference problem
CUED Control Group Seminars
R&D in Control & Optimization in ABB Corporate Research
Machine Learning Reading Group @ CUED
Hybrid of Generative and Discriminative Models
Dr Fabien Petitcolas's list
Hydrodynamic simulation of multicellular embryo invagination and its biological predictions
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Control systems for Maglev and active railway suspensions
Machine Learning Reading Group @ CUED
Divergence measures and message passing - CANCELLED
β οΈ Canceled
Probabilistic Systems, Information, and Inference Group Seminars
Compressed sensing: some theory, algorithms and applications
Machine Learning @ CUED
Extending the Affinity Propagation Model
Machine Learning Reading Group @ CUED
Distributed Computing for Machine Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Intelligence Laboratory Speech Seminars
Statistical Parametric Speech Synthesis
Machine Learning Reading Group @ CUED
A Hierarchical Bayesian Language Model based on Pitman-Yor Processes
Probabilistic Systems, Information, and Inference Group Seminars
Markov Random Fields for Classification in High Dimensional Spaces with Application to fMRI Analysis
CoSBi Computational and Systems Biology Series
On Automatic Quantitative Verification of Biological Systems
β οΈ Time changed
Machine Learning @ CUED
The Block Diagonal Infinite Hidden Markov Model
CoSBi Computational and Systems Biology Series
BlenX, a language based approach for modelling biological systems
Machine Learning @ CUED
Probabilistic Graph Models for Debugging Software
CUED Control Group Seminars
Modularity, polyrhythms, and what robotics and control may yet learn from the brain
Machine Learning Reading Group @ CUED
Probabalistic Inference for solving (PO)MDPs
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
HMMs for Protein Sequencing from Mass Spectrometry Data
Probabilistic Systems, Information, and Inference Group Seminars
Navigation and collision avoidance for aircraft and cars
Probabilistic Systems, Information, and Inference Group Seminars
Model-based EM Source Separation and Localization in Reverberant Mixtures
Machine Learning Reading Group @ CUED
NIPS Offline Conference
Dr Fabien Petitcolas's list
Mobile Content-Sharing Applications
Machine Learning @ CUED
Mondrian Processes
Machine Learning Reading Group @ CUED
An Introduction to Relational Learning
Machine Learning Reading Group @ CUED
Bayesian Reinforcement Learning in Continuous POMDPs
Microsoft Research Computational Science Seminars
From Medical Images to Virtual Physiological Humans
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Hardness Ratios
Machine Learning Reading Group @ CUED
Cluster Analysis of Heterogeneous Rank Data
CoSBi Computational and Systems Biology Series
Exactness and Approximation of the Stochastic Simulation Algorithm
CoSBi Computational and Systems Biology Series
Colonies of Synchronizing Agents: Computability and Robustness
CUED Control Group Seminars
Stochasticity and bistability in the lac operon
Machine Learning Reading Group @ CUED
Gaussian Process Latent Variable Models
Probabilistic Systems, Information, and Inference Group Seminars
Bayesians turn to experts for advice!
Machine Learning @ CUED
Consensus finding, exponential models and infinite rankings
CUED Control Group Seminars
Machine learning based approaches for decision & control under uncertainties (in electric power systems)
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Optimal Control behind the Passive Dynamic Walking?
Machine Learning Reading Group @ CUED
Point Process Intensity Estimation with GP's
CUED Control Group Seminars
Input-Output Controllability Analysis and Control Structure Selection
Machine Learning Reading Group @ CUED
Knows What It Knows: A Framework For Self-Aware Learning
Probabilistic Systems, Information, and Inference Group Seminars
Power allocation in delay-limited wireless channels
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Foundations of Nonparametric Bayesian Methods (Part III)
Machine Learning Reading Group @ CUED
Approximating the Kullback-Leibler Divergence Between GMMs
Microsoft Research Computational Science Seminars
What makes cellular decisions irreversible?
Machine Learning @ CUED
Efficient Sequential Monte Carlo Inference for Kingman's Coalescent
β οΈ Note unusual time
Machine Learning @ CUED
Context in human robot interaction
CoSBi Computational and Systems Biology Series
Computational analysis of the connection between cell cycle and circadian rhythm
Machine Intelligence Laboratory Speech Seminars
A tractable hybrid DDN-POMDP approach to affective dialogue modeling for probabilistic frame-based dialogue systems
CUED Control Group Seminars
Learning to Control
Machine Learning @ CUED
Foundations of Nonparametric Bayesian Methods (Part II)
Machine Learning Reading Group @ CUED
To Naive Bayes or to Logistically Regress: That is the Question
Computational Neuroscience
Computational Neuroscience Journal Club
CUED Control Group Seminars
Stabilisability via time-delayed feedback: an eigenvalue optimisation approach
Machine Learning @ CUED
Foundations of Nonparametric Bayesian Methods (Part I)
Machine Learning @ CUED
Shared Segmentation of Natural Scenes using Dependent Pitman-Yor Processes
Machine Learning Reading Group @ CUED
Condition Monitoring
Probabilistic Systems, Information, and Inference Group Seminars
From calcium imaging to spikes, using sequential Monte Carlo methods
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Spoken Dialogue Management
Machine Learning @ CUED
A Bayesian approach to language learning
Machine Learning @ CUED
Learning Bigrams from Unigrams
Probabilistic Systems, Information, and Inference Group Seminars
Performance and Implementation Aspects of Nonlinear Filtering
Machine Learning Reading Group @ CUED
Levy Processes
Machine Learning @ CUED
Nonparametric Bayesian Natural Language Model Domain Adaptation: A Hierarchical, Hierarchical Pitman-Yor Process Language Model
Probabilistic Systems, Information, and Inference Group Seminars
Hierarchical Bayesian models for audio and music processing
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning @ CUED
Bayesian approaches to autonomous Bayesian real-time learning
Machine Learning Reading Group @ CUED
The War on Loops
Machine Learning @ CUED
Non-negative matrix factorization with Gaussian process priors
Machine Learning @ CUED
Matrix Factorization and Relational Learning
Computational Neuroscience
Assessing the effects of statistical dependencies on neural population coding in the visual pathway
Probabilistic Systems, Information, and Inference Group Seminars
Bayesian Inference for Diffusions using Data Augmentation MCMC
Probabilistic Systems, Information, and Inference Group Seminars
A Bayesian Wavelet-Based Multidimensional Deconvolution With Sub-Band Emphasis
Probabilistic Systems, Information, and Inference Group Seminars
Tracking ground based targets in aerial video with dual-tree wavelet polar matching and particle filtering
Probabilistic Systems, Information, and Inference Group Seminars
Information Fusion for Remote Sensing Satellite Networks
Machine Learning @ CUED
Double Feature: Optimal Precoding for MIMO and Divergence Estimation for Continuous Distributions
Machine Learning @ CUED
Nonparametric Bayesian Learning of Switching Dynamical Systems
Machine Learning @ CUED
Message-passing inference on graphical models
Microsoft Research Summer School
Enzymatic computing
CUED Control Group Seminars
A systems-scale dynamic analysis of complex biology systems
Microsoft Research Summer School
Take control or how to manage your supervisor
Microsoft Research Summer School
Posters session 4
Microsoft Research Summer School
In search of the holy grail
Microsoft Research Summer School
How does the Internet work?
Microsoft Research Summer School
Grand challenges in computing
Machine Intelligence Laboratory Speech Seminars
Error Approximation and Minimum Bayes Risk Acoustic Model Estimation
Microsoft Research Summer School
Rough guide to being an entrepreneur
Microsoft Research Summer School
Posters session 3
Microsoft Research Cambridge, general interest public talks
The Geometry of the Space of Shapes
β οΈ Hosted by Prof. Andrew Blake (Microsoft Research)
Microsoft Research Summer School
Mind-reading machines
Microsoft Research Summer School
Posters session 2
Microsoft Research Summer School
How to give a great research talk
Microsoft Research Summer School
How to write a great research paper
Microsoft Research Summer School
Posters session 1
CUED Control Group Seminars
Towards control and design of pulse-based systems
Machine Learning Reading Group @ CUED
Variational Bayesian Mixtures of Gaussians
Machine Intelligence Laboratory Speech Seminars
A Comparison of VTLN and Gender-Dependent Models
Machine Learning @ CUED
Bayesian analysis of complex biological systems
Microsoft Research Computational Science Seminars
Modelling and simulation of biological systems with COPASI
Probabilistic Systems, Information, and Inference Group Seminars
Making Machines Listen
Probabilistic Systems, Information, and Inference Group Seminars
MIMO Systems: Myths & Realities
CUED Control Group Seminars
Subdiagonal pivot structures and associated canonical forms under state isometries
Machine Learning @ CUED
Variational inference for partially observed diffusion processes
CUED Control Group Seminars
Convex Matrix Inequalities vs Linear Matrix Inequalities
Computational and Biological Learning Seminar Series
Seeing Patterns in Randomness: Irrational Superstition or Adaptive Behavior?
Probabilistic Systems, Information, and Inference Group Seminars
Monte Carlo PHD Filtering
Machine Learning @ CUED
Assessing high-dimensional latent variable models
CUED Control Group Seminars
Dynamics of Chemical Reaction Networks
Machine Intelligence Laboratory Speech Seminars
Extended HVS Parser
CUED Control Group Seminars
Feedback Control and the Arrow of Time
Machine Learning @ CUED
Identification of dynamical subpopulations, optimal experiment design and more
Machine Learning Reading Group @ CUED
Stochastic integration and Ito's lemma
Microsoft Research Computational Science Seminars
Structural analysis of cellular networks
Machine Learning @ CUED
H-Infinity Clustering
Machine Learning @ CUED
Sustainable Energy - without the hot air
Machine Intelligence Laboratory Speech Seminars
Spoken Dialogue Systems for Space and Lunar Exploration
Machine Learning Reading Group @ CUED
Continuous Time Bayesian Networks
Probabilistic Systems, Information, and Inference Group Seminars
Blind sparsity constrained inverse problems in volumetric imaging
Machine Intelligence Laboratory Speech Seminars
Vocal Tract Transfer Function Estimation Using Factor Analyzed Trajectory Hidden Markov Model
Machine Learning @ CUED
Modeling Behaviour in Economic Games using Game-Theoretic POMDPs
Machine Learning @ CUED
Talking with Robots: A Case Study in Architectures for Cognitive Robotics
Probabilistic Systems, Information, and Inference Group Seminars
Dynamic Group Tracking
Machine Intelligence Laboratory Speech Seminars
Recent work on POMDP-based dialog systems at AT&T
CUED Control Group Seminars
Stability analysis for hybrid dynamical systems
CUED Control Group Seminars
Eulerian and Lagrangian Observability of Point Vortex Flows
Machine Learning @ CUED
An Introduction to Statistical Learning Theory
β οΈ Machine Learning Tutorial Lecture
Machine Intelligence Laboratory Speech Seminars
Inducing Meaning from Text
CUED Control Group Seminars
Price Mechanisms for Distributed Control Synthesis
Microsoft Research Computational Science Seminars
A robustness-based approach to systems-oriented drug design
Probabilistic Systems, Information, and Inference Group Seminars
Lattice Decoding for Digital Communications: Where Minkowski Meets Shannon
Probabilistic Systems, Information, and Inference Group Seminars
Signal/Image Reconstruction from Sparse Measurements: Theory, Algorithms and Applications
β οΈ Signal Processing Laboratory Seminar
CUED Control Group Seminars
Some Applications of the Kullback-Leibler Divergence Rate in Hidden Markov Models
CUED Control Group Seminars
Constant-Factor Approximation Algorithms for Stochastic Control
Machine Learning @ CUED
Beam Sampling for Infinite Hidden Markov Models
Microsoft Research Computational Science Seminars
Molecular arms race between host and parasite leads to evolution of robustness against gene loss in signaling networks
Machine Learning @ CUED
Learning quantum physics
CUED Control Group Seminars
Systems and control challenges in model-based reservoir engineering
Machine Learning @ CUED
Convergence analysis of the EM algorithm and joint minimization of free energy
Machine Learning @ CUED
Discriminative Methods with Structure
Machine Intelligence Laboratory Speech Seminars
Uncertainty and Learning in Spoken Human-Computer Dialogue
Machine Learning Reading Group @ CUED
'All of Nonparametric Statistics'
Machine Learning @ CUED
A Bayesian approach to network modularity: inferring the structure and scale of modular networks
CUED Control Group Seminars
Information Flows in Cooperative Networked Control Systems
CUED Control Group Seminars
A behavioural approach to play in mechanical networks
Machine Learning Reading Group @ CUED
The Information Bottleneck / Dynamic Kernals for speaker verification
Microsoft Research Computational Science Seminars
Spatial point process modelling and its applications in ecology
Machine Learning @ CUED
Model selection and model order adaptation for clustering
Machine Learning @ CUED
Expectation Propagation, Experimental Design for the Sparse Linear Model
Machine Learning @ CUED
Biomedical Image Search
Machine Learning Reading Group @ CUED
Probabilistic Matrix Factorization/Deep Belief Nets
Machine Learning Reading Group @ CUED
Title to be confirmed
Machine Learning @ CUED
Stable distribution and data sketching
Machine Learning Reading Group @ CUED
Spectral methods
Machine Learning @ CUED
Reinforcement Learning
β οΈ Machine Learning Tutorial Lecture (Note unusual day)
CUED Control Group Seminars
Towards applied nonlinear adaptive control
Machine Learning Reading Group @ CUED
Active Learning
Machine Learning @ CUED
Modeling Science: Topic models of Scientific Journals and Other Large Document Collections
Machine Learning @ CUED
Sparse Gaussian Process in Disease Mapping
Machine Learning Reading Group @ CUED
Bayesian Adaptive Inference and Adaptive Training
Probabilistic Systems, Information, and Inference Group Seminars
Random-Set Theory and its Applications to Wireless Communications
Machine Learning @ CUED
Gene Regulatory Network Inference: A Kernel-Based Learning Approach
Probabilistic Systems, Information, and Inference Group Seminars
Color Image Processing: Basic Foundation and Interesting Problems
Machine Learning Reading Group @ CUED
Hierarchical Dirichlet Processes
Machine Learning @ CUED
Clinical data based optimal STI strategies for HIV: a reinforcement learning approach
Machine Learning @ CUED
Machine Learning Applications / Challenges in Natural Language Parsing
β οΈ Machine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED
Bayesian Reinforcement Learning
Machine Learning Reading Group @ CUED
Transductive and Semi-Supervised Learning
Machine Learning @ CUED
An overview of covariance operators in Hilbert space, and their applications
Machine Learning @ CUED
Optimal Control and Reinforcement Learning with Gaussian Process Models
Probabilistic Systems, Information, and Inference Group Seminars
New Applications of the Dual-Tree Complex Wavelet Transform
Machine Learning Reading Group @ CUED
Variational inference and exponential families
Probabilistic Systems, Information, and Inference Group Seminars
A Guide to Using GPUs for General Signal Processing
Machine Learning Reading Group @ CUED
Sparse Bayesian Linear Models
Microsoft Research Computational Science Seminars
Statistical mechanics of large optimisation problems
Machine Learning @ CUED
Hidden Common Cause Relations in Relational Learning
Machine Learning Reading Group @ CUED
Autonomous Agents under Operational Closure
Machine Learning @ CUED
Optimal Spreading Sequences for Chaos-Based Communication Systems; Using CSK as a Case Study
Machine Learning @ CUED
Graph Kernels for Data Mining
Machine Learning @ CUED
Geometric Algorithms for Linear Independent Component Analysis
Machine Learning @ CUED
Covariate Shift Adaptation: Supervised Learning When Training and Test Inputs Have Different Distributions
Computational and Biological Learning Seminar Series
A new mathematical framework for optimal choice of actions
Microsoft Research Machine Learning and Perception Seminars
Physics-Based Human Motion Models for Animation and Tracking
Machine Intelligence Laboratory Speech Seminars
Dialectal Chinese Speech Recognition
Probabilistic Systems, Information, and Inference Group Seminars
Filtering and Smoothing in Non-linear Dynamical Systems using Quadrature Expectation Propagation (EP)
Microsoft Research Machine Learning and Perception Seminars
Bayesian network structure learning from uncertain interventions
Machine Intelligence Laboratory Speech Seminars
Multidimensional Dialogue Management and Dialogue Act Recognition using Bayesian Networks
Probabilistic Systems, Information, and Inference Group Seminars
DIMENSIONALITY REDUCTION and FEATURE SELECTION IN HYPERSPECTRAL IMAGE CLASSIFICATION
Probabilistic Systems, Information, and Inference Group Seminars
Efficient stochastic optimal control for navigation and motor planning
Machine Intelligence Laboratory Speech Seminars
Can Robots Learn Language the Way Children Do?
Machine Learning Reading Group @ CUED
Kingman's coalescent, non-parametric Bayesian agglomerative clustering, and ICML 2007
Machine Learning Reading Group @ CUED
Sensible priors from finite linear models
β οΈ Note unusual time
Probabilistic Systems, Information, and Inference Group Seminars
Subspace-based Fundamental Frequency Estimation
Microsoft Research Machine Learning and Perception Seminars
Generative models for audio and music processing
Machine Learning Reading Group @ CUED
Statistical Models for Partial Membership
Machine Learning Reading Group @ CUED
Infinite ICA and Information Retrieval
Probabilistic Systems, Information, and Inference Group Seminars
Methods for the Periodically Correlated Random Processes: Estimation, Decomposition, Modelling
β οΈ Note unusual time and room
Microsoft Research Machine Learning and Perception Seminars
identity variables for face recognition: from distance based methods to probabilistic inference
Machine Learning Reading Group @ CUED
Overlapping Clusters and 4th-year Projects
Machine Learning Reading Group @ CUED
What can Gaussian Processes do for Reinforcement Learning?
Microsoft Research Cambridge, general interest public talks
Accelerating Discovery: A Grand Challenge for HCI
Machine Learning Reading Group @ CUED
System Conditioning vs Explicit Bayes Inference, and Collaborative LDA
Machine Learning Reading Group @ CUED
Affinity Propagation and Hierarchical Beta Processes
β οΈ Room changed, Note unusual time
Probabilistic Systems, Information, and Inference Group Seminars
Modeling Natural Sounds with Modulation Cascade Processes
Machine Learning Reading Group @ CUED
Optimal Learning
Machine Learning Reading Group @ CUED
Gaussian Approximations for Binary Gaussian Process Classification, and Hidden Topic Markov Models
Machine Learning Reading Group @ CUED
Function Approximation in MDPs
Probabilistic Systems, Information, and Inference Group Seminars
Hyperanalytic Denoising
Machine Learning Reading Group @ CUED
Change Point Problems in Linear Dynamical Systems
β οΈ Postponed (originally April 5)
Microsoft Research Machine Learning and Perception Seminars
A Bayesian model that links microarray mRNA measurements to mass spectrometry protein measurements
Probabilistic Systems, Information, and Inference Group Seminars
Analysis of Channel Coding for Redundant Sources
Probabilistic Systems, Information, and Inference Group Seminars
Estimating entropy rates with confidence intervals
Probabilistic Systems, Information, and Inference Group Seminars
Reduced kernel rules for classification
Machine Learning Reading Group @ CUED
GP-LVMs
Probabilistic Systems, Information, and Inference Group Seminars
Title to be confirmed
β οΈ Postponed
Machine Learning Reading Group @ CUED
Topics in Convex Optimisation
Microsoft Research Machine Learning and Perception Seminars
Motion Tracking
Probabilistic Systems, Information, and Inference Group Seminars
Complex Wavelets: What are they and what can they do?
Machine Learning @ CUED
Logistic Regression with a Laplacian prior on the Eigenvalues: Convex duality and application to EEG classification
β οΈ Note different room and time
Microsoft Research Machine Learning and Perception Seminars
A complete set of rotationally and translationally invariant features based on a generalization of the bispectrum to non-commutative groups
Microsoft Research Machine Learning and Perception Seminars
Reverse Engineering the Human Visual System with Networks of Spiking Neurons
Probabilistic Systems, Information, and Inference Group Seminars
Sustainability Informatics, present situation, challenges, vision
Machine Learning Reading Group @ CUED
An Introduction to Generalized Ensemble MCMC for Machine Learning
Probabilistic Systems, Information, and Inference Group Seminars
Audio signal indexing : Application to drum signal separation and transcription
β οΈ Note unusual time and room
Machine Learning @ CUED
Dirichlet Processes and Hierarchical Dirichlet Processes
β οΈ Advanced Machine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED
Some NIPS papers
Machine Learning @ CUED
An Introduction to Non-parametric Bayesian Methods
β οΈ Room changed this week!
Probabilistic Systems, Information, and Inference Group Seminars
Gaussian Particle Implementations of Probability Hypothesis Density Filters
Machine Learning Reading Group @ CUED
Universal Artificial Intelligence, and Probability Monads
Machine Learning Reading Group @ CUED
Neural Networks
Microsoft Research Machine Learning and Perception Seminars
Margin- and Evidence-Based Approaches for EEG Signal Classification
Machine Learning Reading Group @ CUED
Latent Dirichlet Allocation and Dirichlet Diffusion Trees
Machine Learning @ CUED
Robot Localisation and Mapping
β οΈ Advanced Machine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED
Non-parametric mixture models
Machine Learning Reading Group @ CUED
Active Learning and Experimental Design
β οΈ Note unusual time
Machine Learning Reading Group @ CUED
Collaborative Filtering
Machine Intelligence Laboratory Speech Seminars
Interpreting Multimodal Communication Scenes
Microsoft Research Machine Learning and Perception Seminars
Computer Go Research in the University of Alberta GAMES Group
Probabilistic Systems, Information, and Inference Group Seminars
Statistical Applications of the Cross-Entropy Method
Microsoft Research Machine Learning and Perception Seminars
Whereβs my rocket? β Stochastic simulations of rocket flight paths
Probabilistic Systems, Information, and Inference Group Seminars
Geometry of Sparse Representations
β οΈ Room changed
Machine Learning Reading Group @ CUED
On Choosing Priors
Microsoft Research Machine Learning and Perception Seminars
Learning Conditional Random Fields with Hierarchical Features: Application to the Game of Go
Microsoft Research Machine Learning and Perception Seminars
Constraint Programming Techniques for Virtual Camera Control
Machine Learning Reading Group @ CUED
Partially Observable Markov Decision Processes (POMDPs)
Machine Intelligence Laboratory Speech Seminars
Tracheoesophageal Speech Repair
Machine Learning Reading Group @ CUED
Nonlinear Dimensionality Reduction
Machine Learning Reading Group @ CUED
Machine Learning Reading Group in Engineering Department
Microsoft Research Machine Learning and Perception Seminars
Learning microRNA regulatory networks from genomic sequence and expression data
Machine Intelligence Laboratory Speech Seminars
Use of Linguistic Information and Reordering Strategies for Ngram- based Statistical Machine Translation
Machine Learning @ CUED
Gaussian Processes for Machine Learning
β οΈ Advanced Machine Learning Tutorial Lecture
Machine Learning @ CUED
Mixture Models and the EM Algorithm
β οΈ Advanced Machine Learning Tutorial Lecture
Machine Learning @ CUED
Probabilistic Dimensional Reduction with the Gaussian Process Latent Variable Model
Please see above for contact details for this list.