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Changmin Yu.
Thursday 26 March 2026, 09:00-11:00
Inference Group Journal Clubs
This list includes all the journal clubs of interest to inference group members. (Machine learning journal club, Crucible HCI reading group, and Probability + Information Reading Group)
This list was created and managed by David MacKay. If you are reading this, and would like to revive or continue using the list, please contact Alan Blackwell who will be pleased to provide list manager access.
Contact: Alan Blackwell
0 upcoming talks View 1013 archived talks
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
Machine Learning Reading Group @ CUED
Machine Learning on Tabular Data
Machine Learning Reading Group @ CUED
Rethinking aleatoric and epistemic uncertainty
Computational Neuroscience
Multiplexed representations of decision content and uncertainty in visual processin
Computational Neuroscience
Compositional Generalization and Learning
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
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
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
Computational Neuroscience
Cerebellum Computation
Computational Neuroscience
The Fruit Fly Connectome and Beyond
Cambridge Statistics Clinic
Statistics Clinic Summer 2025 II
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
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.
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
Machine Learning Reading Group @ CUED
Conditional Expectation and Machine Learning
Computational Neuroscience
Dendrites, Synaptic Plasticity and Hippocampal Place Fieldsβ
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
Computational Neuroscience
Quantifying individuality in neural circuit representations
Computational Neuroscience
The successor representation, its neural substrate, and behavioural consequences.
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.
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.
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
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.
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
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
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.
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
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
Machine Learning Reading Group @ CUED
An Elementary Introduction to Sequential Monte Carlo Samplers
Computational Neuroscience
State space models (as alternatives to Transformers)
Machine Learning Reading Group @ CUED
Scalable Sampling Using Annealed Algorithms
Machine Learning Reading Group @ CUED
Are we making progress in unlearning?Β
Computational Neuroscience
Geometry of neural representations
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.
Machine Learning Reading Group @ CUED
Linear Attention for Efficient Transformers
Computational Neuroscience
Sensory prediction errors in thalamocortical circuits
Computational Neuroscience
Geometry of population coding in large and transcriptomically-identified cortical populations
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.
Computational Neuroscience
Causal inference during motion perception, and its neural basis
Computational Neuroscience
Learning Bayesian inference models of cortical visual processing
Computational Neuroscience
Computational Neuroscience Journal Club
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
Computational Neuroscience
Integrated Spin model with global inhibition for decision making
Computational Neuroscience
Unifying the mechanisms of the hippocampal and prefrontal cognitive maps
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
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.
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
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
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
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.
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.
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.
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.
Computational Neuroscience
Computational Neuroscience Journal Club
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.
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
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.
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
Machine Learning Reading Group @ CUED
Quasi-Monte Carlo: structure in the randomness for better sampling
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 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.
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
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
Computational Neuroscience
Computational Neuroscience Journal Club
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 Reading Group @ CUED
Scalable simulation and inference in non-Gaussian stochastic PDEs
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Understanding the emergence of neural population dynamics underlying behaviour
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 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 Reading Group @ CUED
A tutorial on diffusion models
Computational Neuroscience
Computational Neuroscience Journal Club
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
Machine Learning Reading Group @ CUED
Advanced artificial agents intervene in the provision of reward
Machine Learning Reading Group @ CUED
Theory and Practice of Infinitely Wide Neural Networks - Guest Talk
Machine Learning Reading Group @ CUED
The unreasonable effectiveness of mathematics in large scale deep learning
Machine Learning Reading Group @ CUED
The role of meta-learning for few-shot classification
Machine Learning Reading Group @ CUED
Benefits and Shortcomings of Assistance
Machine Learning Reading Group @ CUED
Discussion: Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Discussion: Learning PAC-Bayes Priors for Probabilistic Neural Networks
Machine Learning Reading Group @ CUED
Rethinking evaluation for machine learning models
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Discussion: Bayesian Model Selection, the Marginal Likelihood, and Generalization
Computational Neuroscience
How a recurrent circuit of Poisson spiking neurons is able to implement sampling-based inference
Machine Learning Reading Group @ CUED
How close are these distributions? A brief introduction to statistical distances and divergences.
Machine Learning Reading Group @ CUED
Bests of ICLR
Machine Learning Reading Group @ CUED
Machine Learning with Quantum Computers
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Autoregressive Diffusion Models
Machine Learning Reading Group @ CUED
An Overview of AI Alignment
Machine Learning Reading Group @ CUED
The Bayesian Learning Rule for Adaptive AI
Machine Learning Reading Group @ CUED
Introduction to differential privacy
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Retrieval Augmented NLP
Machine Learning Reading Group @ CUED
Circuits and Interpretability
Machine Learning Reading Group @ CUED
Optimal Transport Metrics
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Learned Compression
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
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Energy-Based Models
Computational Neuroscience
Connectivity inference in visual cortex and characterization of contrast-suppressed cells
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Deep Kernels
Machine Learning Reading Group @ CUED
Mean Field Theory of NN (postponed to March 2022)
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Representation Learning: A Causal Perspective
Machine Learning Reading Group @ CUED
Ethics, Integrity and Good Practice in ML
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
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Towards Neuro-Causality: Relating Graph Neural Networks to Structural Causal Models
Machine Learning Reading Group @ CUED
CBL Alumni Talk - Task-specific routing of information in neural circuits via structured noise by Cristina Savin
Machine Learning Reading Group @ CUED
CBL Alumni Talk: Nonlinear filtering as a unifying principle in neuroscience by Jean-Pascal Pfister
Computational Neuroscience
Computational Neuroscience Journal Club
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
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
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
CBL Alumni Talk - Our Power as Technical Designers
Machine Learning Reading Group @ CUED
Best of ICLR
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
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
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
Machine Learning Reading Group @ CUED
Causal Representation Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Long-Range Transformers
Machine Learning Reading Group @ CUED
Inference in Stochastic Processes
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Fairness in AI
Machine Learning Reading Group @ CUED
Variational Bayes as Surrogate Regression
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
Machine Learning Reading Group @ CUED
Neural Processes
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Large-scale sequential experimentation
Machine Learning Reading Group @ CUED
Symmetries in Reinforcement Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Gradient-based Hyperparameter Optimisation
Machine Learning Reading Group @ CUED
Best Papers from ICML 2020
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Cognitive switches and functional reprogramming of sensory cortex
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Active Learning
Machine Learning Reading Group @ CUED
Recent advances in the theory and applications of VAEs
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
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 Reading Group @ CUED
Self-Supervised Representation Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Kernel Mean Embeddings
Machine Learning Reading Group @ CUED
Neural Tangent Kernel
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Scalable Gaussian Processes
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Probabilistic Programming
Machine Learning Reading Group @ CUED
Neural Attention
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Structure in the randomness of trained recurrent neural networks
Machine Learning Reading Group @ CUED
Equivariance and Symmetries in CNNs
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 Reading Group @ CUED
Hamiltonian Monte Carlo for Hierarchical Models
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Dopamine as prediction error in active inference
Computational Neuroscience
Neurotransmitter spillover modulates neuronal information transmission
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Wearable non-invasive human neural interface with action potential resolution
Computational Neuroscience
Wearable non-invasive human neural interface with action potential resolution
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
How perception informs urgent saccadic choices: halting, acceleration, and deceleration
Machine Learning Reading Group @ CUED
Particle MCMC
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Stochastic Differential Equations
Machine Learning Reading Group @ CUED
Generalisation in neural networks
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
An Overview of Normalizing Flows
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Sampling as Optimization
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
The K-FAC method for neural network optimization
Machine Learning Reading Group @ CUED
Implicit Variational Inference
Machine Learning Reading Group @ CUED
Continual Learning: Definitions, Benchmarks, and Approaches
Machine Learning Reading Group @ CUED
Causal Inference and Causal Reinforcement Learning
Computational Neuroscience
Stimulus complexity shapes response correlations in primary visual cortex
Machine Learning Reading Group @ CUED
Generative models for few-shot prediction tasks
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Neural circuit mechanisms of learning and attentional task-switching during visually-guided behaviour in mice
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 Reading Group @ CUED
Stein Discrepancy
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Local and global synaptic credit assignment
Machine Learning Reading Group @ CUED
Neural Ordinary Differential Equations
Computational Neuroscience
Computational Neuroscience Journal Club
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
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
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Reactivation in biological and artificial neural networks
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Information Efficacy of a Dynamic Synapse
Machine Learning Reading Group @ CUED
Neural Networks and Natural Language Processing
Machine Learning Reading Group @ CUED
Information Theory, Codes, and Compression
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Statistical Learning Theory
Computational Neuroscience
Interfacing with the brain using organic electronics
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Deep Generative Models
Machine Learning Reading Group @ CUED
Minimum Description Length
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Machine Learning for Sounds
Machine Learning Reading Group @ CUED
NIPS 2017 Highlights
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Hardware Efficient Machine Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Learning to Learn
Machine Learning Reading Group @ CUED
WGAN and Optimal Transport
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
How much to gain: Controlling space and time via gain modulation in cortical networks
Machine Learning Reading Group @ CUED
Interpretability in Machine Learning
Machine Learning Reading Group @ CUED
Deep Structured Prediction for Handwriting Recognition
Computational Neuroscience
Computational Neuroscience Journal Club
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
Machine Learning Reading Group @ CUED
Infer.NET
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Spike timing in motor control
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
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
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Adrian Seminars in Neuroscience
Decoding the population activity of grid cells for spatial localization and goal-directed navigation
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Study Group
Deep Learning Book - Meeting 9 - Representation Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Study Group
Deep Learning Book - Meeting 8 - Autoencoders
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
Machine Learning Study Group
Deep Learning Book - Meeting 6 - Recurrent Neural Networks
Machine Learning Reading Group @ CUED
Differential Privacy
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Study Group
Deep Learning Book - Meeting 5 - ResNets and DenseNets
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
Machine Learning Reading Group @ CUED
Probabilistic Numerics
Machine Learning Study Group
Deep Learning Book - Meeting 3 - Optimization
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
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
NIPS 2016 papers in 5mins
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Symmetry in Statistical Models
Machine Learning Reading Group @ CUED
Bayesian Optimization
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
deep generative models
Computational Neuroscience
Neural representations of uncertainty: the right tool for the right job
Computational Neuroscience
Prospective coding by spiking neurons
Computational Neuroscience
Grid cells get back to the memory game
Machine Learning Reading Group @ CUED
Sketching methods
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
A crash-course on Bayesian Reinforcement Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
A decision-theoretic framework for active cognition
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Partially Observable Markov Decision Processes (POMDPs)
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 Reading Group @ CUED
Learning polynomials with Neural Networks
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
Machine Learning Reading Group @ CUED
An introduction to Bayesian nonparametrics: some inference schemes for infinite mixture models
Machine Learning Reading Group @ CUED
Topics in Expectation Propagation
Machine Learning Reading Group @ CUED
Deep Q-Learning and AlphaGo
Computational Neuroscience
Synaptic origins of working memory capacity
Machine Learning Reading Group @ CUED
inference failures in probabilistic programming
Machine Learning Reading Group @ CUED
Variational Methods and Compressed Sensing
Machine Learning Reading Group @ CUED
Fast Fusion of Multi-band Images: A Powerful Tool for Super-resolution
Computational Neuroscience
Brain State Control by Closed-Loop Environmental Feedback
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
Machine Learning Reading Group @ CUED
Probabilistic programming
Machine Learning Reading Group @ CUED
Learning by learning rich generative models
Machine Learning Reading Group @ CUED
Natural gradient descent and variational inference
Computational Neuroscience
Probabilistic synapses
Machine Learning Reading Group @ CUED
Differentiable Data Structures and (if we have time) POMDPs
β οΈ NOTE Topic Change
Machine Learning Reading Group @ CUED
Random projection ensemble classification
Machine Learning Reading Group @ CUED
Deep learning for time series
Machine Learning Reading Group @ CUED
Stochastic discrete integration
Computational Neuroscience
The contribution of millisecond spike timing of cortical neurons to sensory coding and perceptual decisions
Machine Learning Reading Group @ CUED
Stochastic optimization and adaptive learning rates
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Logic, Theorem Proving, and Probabilistic Programming
Machine Learning Reading Group @ CUED
Connections between kernels, GPs, and NNs
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Detecting paraphrases using recursive autoencoders
Machine Learning Reading Group @ CUED
Bayesian optimization and its applications
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
LP relaxations for MAP inference
Computational Neuroscience
Approximate nonlinear filtering with a neural network
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Daleβs principle and the neural processing of latent factors
Computational Neuroscience
Decoding of complex stimuli from large retinal populations
Computational Neuroscience
Complementary approaches to Synaptic Plasticity: Objective Functions and Biophysics
Computational Neuroscience
A normative account of episodic memory in online learning over open model spaces
Computational Neuroscience
Contextual modulation of gamma rhythms in inhibition stabilized cortical networks
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
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
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
Machine Learning Reading Group @ CUED
Hessian-free Optimisation for Neural Networks
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Scalable MCMC
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Causal Inference
Machine Learning Reading Group @ CUED
Gaussian Process Models for Time Series
Machine Learning Reading Group @ CUED
Informational Geometry
Machine Learning Reading Group @ CUED
Deep Gaussian Processes
Machine Learning Reading Group @ CUED
Combinatorial Stochastic Processes in Bayesian Nonparametrics
Computational Neuroscience
Dopamine - beyond reward?
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Variance Reduction Techniques and Stochastic Optimisation for Monte Carlo
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Transfer Learning
Computational Neuroscience
Computational Neuroscience Journal Club
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
Machine Learning Reading Group @ CUED
Active Learning
Machine Learning Reading Group @ CUED
Deep Probabilistic Models (Wake/Sleep)
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
PAC Bayes
Machine Learning Reading Group @ CUED
LSTM and Recurrent Neural Networks
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Automatic Differentiation with Theano
Computational Neuroscience
Chaos and entropy production in spiking networks
Machine Learning Reading Group @ CUED
State Space Abstraction for Reinforcement Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Kernel Embedding for Distributions
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Sensory processing in neocortical networks: randomness, specificity and learning
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
A Study of Certain Models of Synaptic Plasticity in the Cerebellum and Neocortex
Computational Neuroscience
Nervous system variability and robustness from cellular feedback control
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Unsupervised Representation Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
ββTime-varying dynamic Bayesian network reconstruction with information sharingβ
Machine Learning Reading Group @ CUED
Advanced Gaussian Process approximation methods
Computational Neuroscience
Adaptation, coding and Bayesian computations in single neurons and neural populations
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Statistical model criticism
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Functional Programming
Machine Learning Reading Group @ CUED
The Bernoulli Factory problem and some connections with Computable Analysis
Machine Learning Reading Group @ CUED
Neural Network Language Modelling
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Loopy belief propagation
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
An introduction to Sequential Monte Carlo
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
Machine Learning Reading Group @ CUED
Information Theory and Method of Types: Channels, Quantizers, and Divergences
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Integrated Nested Laplace Approximation (INLA)
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Spectral Learning
Computational Neuroscience
Learning sensory and spatial representations from interacting excitatory and inhibitory synaptic plasticity
Computational Neuroscience
Neuronal processing of continuous sensory streams
Machine Learning Reading Group @ CUED
Random Projections
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Herding: Driving Deterministic Dynamics To Learn And Sample Probabilistic Models
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
Machine Learning Reading Group @ CUED
Bayesian and Bandit Optimization
Computational Neuroscience
What the Rat's Whiskers Tell the Rat's Brain
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Random Forests: One tool for all your problems.
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Modelling Nonlinear Dynamical Systems
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Optimal compensation for neuron death
Machine Learning Reading Group @ CUED
Adaptive Hamiltonian-based MCMC samplers
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.
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Is the brain in a critical state?
Computational Neuroscience
Demixing scents: Sampling-based inference in olfaction.
Machine Learning Reading Group @ CUED
Sparsity: Beyond L1
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Reproducing Kernel Hilbert Spaces in Non-parametric Statistics
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
An Introduction to Sum Product Networks
Machine Learning Reading Group @ CUED
Bayesian Reinforcement Learning
Computational Neuroscience
University Lectureship in Computational Neuroscience candidate talks
Machine Learning Reading Group @ CUED
Probabilistic Programming
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Machine Learning in Speech Recognition
Machine Learning Reading Group @ CUED
Fragmentation Coagulation
Machine Learning Reading Group @ CUED
Conditional Density Estimation
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
RCC Planning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Discrete Optimization
Machine Learning Reading Group @ CUED
Advanced Sampling
Computational Neuroscience
Computational Neuroscience Journal Club
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
Winton Journal Club
Energy Efficiency in Buildings
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
NIPS Recap
Machine Learning Reading Group @ CUED
Bayesian and Gradient Reinforcement Learning
Machine Learning Reading Group @ CUED
Spectral Clustering
Machine Learning Reading Group @ CUED
Modern Neural Networks: the Hinton Camp
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Distributional compositional models of semantics
bbu20's list
Coding with Dendrites
Computational Neuroscience
Computational Neuroscience Journal Club
Foster Talks
Space, sleep, brain rhythms and memory
Machine Learning Reading Group @ CUED
Completely Random Measures in Bayesian Nonparametrics
Computational Neuroscience
Computational Neuroscience Journal Club
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
Computational Neuroscience
Perceiving is Believing: Bayesian inference in unexpected places.
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Dependent normalized random measures
Machine Learning Reading Group @ CUED
GP-BUCB for Spinal Cord Injury Therapy: Batch Active Learning with Applications
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
On Data (In-)Dependent Hashing
Machine Learning Reading Group @ CUED
Poisson Processes: Applications in Machine Learning
Computational Neuroscience
Computational Neuroscience Journal Club
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
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
"Structured sparsity and convex optimization"
Computational Neuroscience
Visuomotor behavior in naturalistic tasks: from receptive fields to value functions
Computational and Biological Learning Seminar Series
Optimal encoding and decoding in sensory populations
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
Machine Learning Reading Group @ CUED
A Predictive Study of Bayesian Nonparametric Regression Models
Computational Neuroscience
Rational learning may be minimalist
Machine Learning Reading Group @ CUED
Title to be confirmed
Machine Learning Reading Group @ CUED
Weighted Finite-state Automata
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Active Learning
Machine Learning Reading Group @ CUED
Topic Modelling
Machine Learning Reading Group @ CUED
Structural Learning of Dynamic Bayesian Networks
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Extended ensemble Monte Carlo
Machine Learning Reading Group @ CUED
"Symmetry and sufficiency"
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
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.
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Ensemble Methods in Machine Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Modeling a non-linear EPSPs integration site in dendrites and its impact on computational capacities
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Approximate Inference in Gaussian Process Models
Machine Learning Reading Group @ CUED
Proper local scoring rules
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Hyper and structural Markov laws for graphical models
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Reconciling intuitive and Newtonian physics
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Organization of neuronal population activity in auditory cortex.
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Connections between Gaussian Process Regression, Kalman filtering and RTS Smoothing
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
Machine Learning Reading Group @ CUED
Expectation Propagation for POMDP Spoken Dialogue Models
Computational Neuroscience
Computational Neuroscience Journal Club
Craik Club
Navigational guidance systems in the human brain
β οΈ The host for this talk is Dr. MΓ‘tΓ© Lengyel, Engineering Dept.
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Exchangeability
Machine Learning Reading Group @ CUED
Deep Belief Networks for Phone Recongition
Machine Learning Reading Group @ CUED
The effect of normalization -- a case study in speech synthesis
Machine Learning Reading Group @ CUED
Post-NIPS Highlight session
Machine Learning Reading Group @ CUED
Optimal weighted nearest neighbour classifiers
Computational Neuroscience
Computational Neuroscience Journal Club
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
Machine Learning Reading Group @ CUED
Machine Learning techniques in computer vision applications
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Infinite multiple relational models for complex networks
Machine Learning Reading Group @ CUED
Completely Random Measures
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Submodularity for Machine Learning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
NIPS Highlight Session
Machine Learning Journal Club
Machine Leaning Journal Club
Machine Learning Reading Group @ CUED
Poisson Processes
Computational Neuroscience
Computational neuroscience journal club
Machine Learning Reading Group @ CUED
Convex Optimisation
Machine Learning Reading Group @ CUED
An Introduction to Bayesian Statistics
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
Machine Learning Reading Group @ CUED
Advanced Scientific Programming in Python
Machine Learning Reading Group @ CUED
Unsupervised Grammar Induction
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Optimality among optimals: decision making from neurobiological βnoisyβ signals within the cortico-basal-ganglia system
Computational Neuroscience
Translational biomedical informatics research in a clinical neurosurgery environment
Machine Learning Reading Group @ CUED
Structured Learning and Structural SVMs
Machine Learning Reading Group @ CUED
Conditional Random Fields : Theory and Application
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
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Title to be confirmed
Computational Neuroscience
Mapping affective decisions in depression using reinforcement learning tools
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Bundle methods and its application in machine learning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Sparsification for Gaussian Processes for Regression
Machine Learning Reading Group @ CUED
Title to be confirmed
Computational Neuroscience
Computational Neuroscience Journal Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Title to be confirmed
Machine Learning Reading Group @ CUED
Semi supervised learning
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Variational inference in graphical models: The view from the marginal polytope
Machine Learning Reading Group @ CUED
The Fractional Belief Propagation menace
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
(Canceled) A Causal Calculus for Statistical Research
β οΈ Canceled
Machine Learning Reading Group @ CUED
RCC Planning Meeting
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Unbounded-depth hierarchical Pitman-Yor processes
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Journal Club
Journal Club: Visualizing Data using t-SNE
Machine Learning Reading Group @ CUED
Learning rates in Bayesian nonparametrics
Machine Learning Journal Club
The Infinite Gaussian Mixture Model
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Bayesian Agglomerative Clustering with Coalescents
Machine Learning Journal Club
Oscillations, Phase-of-firing Coding and STDP: An Efficient Learning Scheme (Journal club)
Machine Learning Reading Group @ CUED
Machine Learning RCC - Bayesian Agglomerative Clustering with Coalescents, Teh, DaumΓ© and Roy, NIPS 2007
Machine Learning Reading Group @ CUED
Filtering of Noisy Time-Series Data
Computational Neuroscience
Computational Neuroscience Journal Club
Adrian Seminars in Neuroscience
βModeling synaptic plasticity across multiple time scalesβ.
Machine Learning Journal Club
Bayesian integration in sensorimotor learning
Machine Learning Reading Group @ CUED
Speed Reviewing
Computational Neuroscience
On the Games Neurons Play (in Visual Cortex)
Machine Learning Journal Club
Distilling Free-Form Natural Laws from Experimental Data
Machine Learning Reading Group @ CUED
High-dimensional variable selection via sure independence screening
Machine Learning Journal Club
Machine Learning Book Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Journal Club
Journal club: Measurement integration under inconsistency for robust tracking
Machine Learning Reading Group @ CUED
Ensemble Methods in Machine Learning
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Reading Group @ CUED
Structured prediction using energy-based models
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Journal Club
The Mondrian Process
Machine Learning Reading Group @ CUED
Technical Writing II
Computational Neuroscience
Reduced cortical neuron models: Experiment and theory
Machine Learning Journal Club
COGAIN'09 proceedings
Machine Learning Journal Club
Machine Learning Book Club
Computational Neuroscience
Computational Neuroscience Journal Club
Inference Group
Capacity of Spiking Neural Networks
Machine Learning Journal Club
Speed dependent automatic zooming for browsing large documents
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Journal Club
Single Image Haze Removal using Dark Channel Prior
Machine Learning Journal Club
Bursty and Hierarchical Structure in Streams.
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Journal Club
Correlation, Causation, Model Comparison and Interventions
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Reading Group @ CUED
Hessian-based Markov-Chain Monte Carlo Algorithms
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Journal Club
Machine Learning Book Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Slice Sampling
Machine Learning Journal Club
Machine Learning Book Club
Computational Neuroscience
Is the homunculus `aware' of sensory adaptation?
Machine Learning Journal Club
Machine Learning Book Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Reading Group @ CUED
Technical Writing
Machine Learning Journal Club
Machine Learning Book Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Journal Club
Optimal Bayesian Reinforcement Learning on Trees
Machine Learning Reading Group @ CUED
Divergence measures and message passing
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Reading Group @ CUED
The IBM approach to speech separation
Machine Learning Journal Club
Machine Learning Book Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Parsing Images the UCLA Way
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Reading Group @ CUED
Hilbert space embedding of probability distributions
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Journal Club
Machine Learning Book Club
Computational Neuroscience
Coding with envelopes, receptive fields and plasticity
Machine Learning Journal Club
Machine Learning Book Reading Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Journal Club
Machine Learning Book Reading Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Bregman Divergences and Machine Learning
Machine Learning Journal Club
Machine Learning Book Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
The Convex Concave Procedure
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Reading Group @ CUED
Hybrids of Generative and Discriminative Models (Cont)
Machine Learning Journal Club
Machine Learning Book Reading Club
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
Machine Learning Reading Group @ CUED
Large Margin Training of Hidden Markov Models
Machine Learning Journal Club
Machine Learning Book Club
Machine Learning Reading Group @ CUED
Hybrid of Generative and Discriminative Models
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Divergence measures and message passing - CANCELLED
β οΈ Canceled
Machine Learning Journal Club
Machine Learning Book Reading Club
Machine Learning Journal Club
Predicting and understanding the stability of G-Quadruplexes
Machine Learning Reading Group @ CUED
Distributed Computing for Machine Learning
Machine Learning Journal Club
Machine Learning Book Reading Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
A Hierarchical Bayesian Language Model based on Pitman-Yor Processes
Machine Learning Journal Club
Machine Learning Book Reading Club
Machine Learning Reading Group @ CUED
Probabalistic Inference for solving (PO)MDPs
Machine Learning Journal Club
Machine Learning Book Reading Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
NIPS Offline Conference
Machine Learning Reading Group @ CUED
An Introduction to Relational Learning
Machine Learning Journal Club
Machine Learning Book Reading Club
Machine Learning Journal Club
Journal Club: Mixed Membership Stochastic Blockmodels
Machine Learning Reading Group @ CUED
Bayesian Reinforcement Learning in Continuous POMDPs
Machine Learning Journal Club
Machine Learning Book Reading Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
Cluster Analysis of Heterogeneous Rank Data
Machine Learning Journal Club
Machine Learning Book Reading Club
Machine Learning Journal Club
Value Propagation: A Graphical Model for Bayesian Reinforcement Learning
SciComp@Cam: Scientific Computing in Cambridge
Title to be confirmed
Machine Learning Reading Group @ CUED
Gaussian Process Latent Variable Models
Machine Learning Journal Club
Machine Learning Book Reading Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Journal Club
Spiking Boltzmann Machines
Machine Learning Reading Group @ CUED
Point Process Intensity Estimation with GP's
Machine Learning Journal Club
Machine Learning Book Reading Club
Machine Learning Journal Club
A Precision-Click Method for Multiple-Choice Problems
Machine Learning Reading Group @ CUED
Knows What It Knows: A Framework For Self-Aware Learning
Machine Learning Journal Club
Machine Learning Book Reading Club
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Journal Club
The discovery of structural form
Machine Learning Reading Group @ CUED
Approximating the Kullback-Leibler Divergence Between GMMs
Machine Learning Journal Club
Machine Learning Book Reading Club
SciComp@Cam: Scientific Computing in Cambridge
Title to be confirmed
Machine Learning Reading Group @ CUED
To Naive Bayes or to Logistically Regress: That is the Question
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Journal Club
Machine Learning Book Reading Club
Machine Learning Reading Group @ CUED
Condition Monitoring
Crucible/Microsoft HCI Reading Group
How do we program the home? Gender, attention investment, and the psychology of programming at home.
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 Journal Club
Machine Learning Book Reading Club
Machine Learning Journal Club
Machine Learning Book Reading Club
SciComp@Cam: Scientific Computing in Cambridge
Development tools for mobile devices
Machine Learning Reading Group @ CUED
Levy Processes
Computational Neuroscience
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED
The War on Loops
Machine Learning Journal Club
Machine Learning Book Reading Club
Computational Neuroscience
Assessing the effects of statistical dependencies on neural population coding in the visual pathway
Machine Learning Journal Club
Machine Learning Book Reading Club
Machine Learning Journal Club
Machine Learning Book Reading Club
Machine Learning Journal Club
Machine Learning Book Reading Club
Machine Learning Journal Club
Machine Learning Book Reading Club
Crucible/Microsoft HCI Reading Group
βResistance is Futileβ: Reading Science Fiction Alongside Ubiquitous Computing
Machine Learning Journal Club
Machine Learning Book Reading Club
Machine Learning Journal Club
Machine Learning Book Reading Club
Machine Learning Journal Club
Machine Learning Book Reading Club
SciComp@Cam: Scientific Computing in Cambridge
Provisional: Field Programmable Gate Arrays
β οΈ POSTPHONED TO LATER IN THE YEAR
Machine Learning Journal Club
Machine Learning book reading club
Machine Learning Journal Club
Machine Learning Book Reading Club
Crucible/Microsoft HCI Reading Group
Affective computing: problems, reactions and intentions
Machine Learning Reading Group @ CUED
Variational Bayesian Mixtures of Gaussians
SciComp@Cam: Scientific Computing in Cambridge
Provisional: Workflow processing
Machine Learning Journal Club
Cutting Cheese
Crucible/Microsoft HCI Reading Group
Evaluating user interface systems research
Machine Learning Journal Club
Uniform sampling from various sets
Machine Learning Reading Group @ CUED
Stochastic integration and Ito's lemma
Machine Learning Journal Club
Journal Club: The Dynamic Hierarchical Dirichlet Process
Machine Learning Reading Group @ CUED
Continuous Time Bayesian Networks
Machine Learning Journal Club
Object-Attribute Models
SciComp@Cam: Scientific Computing in Cambridge
Provisional: Productivity Applications
Machine Learning Journal Club
Measuring Game Temperature With UCT-Monte Carlo
Machine Learning Journal Club
Tutorial on Monte Carlo methods
Crucible/Microsoft HCI Reading Group
What Is Good? β A Comparison Between The Quality Criteria Used In Design And Science
SciComp@Cam: Scientific Computing in Cambridge
Functional Programming
Machine Learning Journal Club
Expectation Propagation Demonstration
Machine Learning Journal Club
Cheap and cheerful neural inference
Machine Learning Journal Club
On the Benefits of Confidence Visualization in Speech Recognition
Machine Learning Journal Club
Expectation Propagation on the TrueSkill model
Machine Learning Reading Group @ CUED
'All of Nonparametric Statistics'
Crucible/Microsoft HCI Reading Group
Unpacking a Timesheet: Formalisation and Representation
Machine Learning Journal Club
Hierarchical Clustering
Machine Learning Reading Group @ CUED
The Information Bottleneck / Dynamic Kernals for speaker verification
Machine Learning Journal Club
Image superresolution
SciComp@Cam: Scientific Computing in Cambridge
Python Tools for software development
Machine Learning Journal Club
Infera - a Bayesian team-ranking program from 1996
Machine Learning Reading Group @ CUED
Probabilistic Matrix Factorization/Deep Belief Nets
Machine Learning Reading Group @ CUED
Title to be confirmed
Crucible/Microsoft HCI Reading Group
Computational Thinking
Machine Learning Journal Club
Principled Hybrids of Generative and Discriminative Models
Machine Learning Reading Group @ CUED
Spectral methods
Machine Learning Journal Club
Sparse Feature Learning for Deep Belief Networks
Machine Learning Reading Group @ CUED
Active Learning
Machine Learning Journal Club
Semantic Hashing, Deep Autoencoders and Universal Approximators
Machine Learning Reading Group @ CUED
Bayesian Adaptive Inference and Adaptive Training
SciComp@Cam: Scientific Computing in Cambridge
Scientific Computing in Cambridge meeting
Crucible/Microsoft HCI Reading Group
Getting to Grips with Technology
Machine Learning Journal Club
Reinforcement Learning in continuous state-spaces
Machine Learning Reading Group @ CUED
Hierarchical Dirichlet Processes
SciComp@Cam: Scientific Computing in Cambridge
Scientific Computing in Cambridge meeting
Machine Learning Reading Group @ CUED
Bayesian Reinforcement Learning
Machine Learning Journal Club
Variational methods
Machine Learning Reading Group @ CUED
Transductive and Semi-Supervised Learning
Machine Learning Journal Club
Loopy Belief Propagation
Machine Learning Reading Group @ CUED
Variational inference and exponential families
Machine Learning Journal Club
Basics of Belief Propagation
Machine Learning Reading Group @ CUED
Sparse Bayesian Linear Models
SciComp@Cam: Scientific Computing in Cambridge
Scientific Computing in Cambridge meeting
Machine Learning Journal Club
Fast Visual Tracking By Temporal Consensus
Machine Learning Reading Group @ CUED
Autonomous Agents under Operational Closure
Machine Learning Journal Club
Sensible Priors for Sparse Bayesian Learning
Crucible/Microsoft HCI Reading Group
Designing for Usability: Key Principles and What Designers Think
Machine Learning Journal Club
Hierarchical Bayesian inference in networks of spiking neurons
SciComp@Cam: Scientific Computing in Cambridge
Scientific Computing in Cambridge meeting
Machine Learning Journal Club
Predictive Interaction using the Delphian Desktop
Machine Learning Journal Club
Combining Causal and Similarity-based reasoning
Crucible/Microsoft HCI Reading Group
Assessing Dimensions of Perceived Visual Aesthetics of Web Sites
Machine Learning Journal Club
Efficient Bayesian Task-Level Transfer Learning
Machine Learning Journal Club
Kingman's coalescent, non-parametric Bayesian agglomerative clustering
SciComp@Cam: Scientific Computing in Cambridge
Scientific Computing in Cambridge meeting
Machine Learning Journal Club
Contextual dependencies in unsupervised word segmentation
Machine Learning Journal Club
Pre-Gatsby Workshop
Crucible/Microsoft HCI Reading Group
Design parameters of rating scales for web sites
Machine Learning Journal Club
Knowledge Compilation
SciComp@Cam: Scientific Computing in Cambridge
Scientific Computing in Cambridge meeting
Machine Learning Journal Club
Clustering by Passing Messages Between Data Points
Machine Learning Journal Club
Title Language Model
Machine Learning Journal Club
Bring your Papers!
Machine Learning Reading Group @ CUED
Kingman's coalescent, non-parametric Bayesian agglomerative clustering, and ICML 2007
Crucible/Microsoft HCI Reading Group
Do artifacts have politics?
Machine Learning Reading Group @ CUED
Sensible priors from finite linear models
β οΈ Note unusual time
SciComp@Cam: Scientific Computing in Cambridge
Report from Apple WWDC07
SciComp@Cam: Scientific Computing in Cambridge
Linux on the Playstation3
Machine Learning Reading Group @ CUED
Statistical Models for Partial Membership
Machine Learning Reading Group @ CUED
Infinite ICA and Information Retrieval
Crucible/Microsoft HCI Reading Group
How HCI Interprets the Probes
Machine Learning Reading Group @ CUED
Overlapping Clusters and 4th-year Projects
Machine Learning Reading Group @ CUED
What can Gaussian Processes do for Reinforcement Learning?
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
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
Machine Learning Reading Group @ CUED
Change Point Problems in Linear Dynamical Systems
β οΈ Postponed (originally April 5)
Machine Learning Reading Group @ CUED
GP-LVMs
Machine Learning Reading Group @ CUED
Topics in Convex Optimisation
Machine Learning Reading Group @ CUED
An Introduction to Generalized Ensemble MCMC for Machine Learning
Machine Learning Journal Club
Journal Club: "Analysis of Contour Motions"
Machine Learning Reading Group @ CUED
Some NIPS papers
Crucible/Microsoft HCI Reading Group
Moving on from Weiser's Vision of Calm Computing: engaging UbiComp experiences
Machine Learning Reading Group @ CUED
Universal Artificial Intelligence, and Probability Monads
Machine Learning Reading Group @ CUED
Neural Networks
Machine Learning Journal Club
Journal Club: "Bayesian Policy Gradient Algorithms"
Machine Learning Reading Group @ CUED
Latent Dirichlet Allocation and Dirichlet Diffusion Trees
Machine Learning Journal Club
Gaussian Process Belief Propagation
Machine Learning Reading Group @ CUED
Non-parametric mixture models
Crucible/Microsoft HCI Reading Group
How expert engineering teams use disciplines of innovation
Machine Learning Journal Club
Loss Functions for Discriminative Training of Energy-Based Models
Machine Learning Reading Group @ CUED
Active Learning and Experimental Design
β οΈ Note unusual time
Machine Learning Journal Club
Estimation of non-normalized statistical models using score matching
Machine Learning Reading Group @ CUED
Collaborative Filtering
Crucible/Microsoft HCI Reading Group
Emotion recognition in human-computer interaction
Machine Learning Journal Club
Journal Club: "Reducing the Dimensionality of Data with Neural Networks"
Crucible/Microsoft HCI Reading Group
Using action research in information systems design to address change: a South African health information systems case study
Machine Learning Reading Group @ CUED
On Choosing Priors
Machine Learning Journal Club
Journal Club: "Clustering appearance and shape by learning jigsaws"
Machine Learning Reading Group @ CUED
Partially Observable Markov Decision Processes (POMDPs)
Machine Learning Journal Club
Journal Club "Searching for memories, Sudoku, implicit check-bits, and the iterative use of not-always-correct rapid neural computation"
Machine Learning Reading Group @ CUED
Nonlinear Dimensionality Reduction
Machine Learning Journal Club
Journal Club: "Document language models, query models, and risk minimization for information retrieval"
Machine Learning Reading Group @ CUED
Machine Learning Reading Group in Engineering Department
Machine Learning Journal Club
Journal Club: A Neural Probabilistic Language Model
Machine Learning Journal Club
Expectation Consistent Approximate Inference
Interdisciplinary Design: Debates and Seminars
Rethinking Information and Space in Ubiquitous Computing
Machine Learning Journal Club
A Hierarchical Bayesian Language Model based on Pitman-Yor Processes
Machine Learning Journal Club
Journal Club: "A Bayesian Analysis of Projective Incidence"
Crucible/Microsoft HCI Reading Group
Understanding Non-Literacy as a Barrier to Mobile Phone Communication
Crucible/Microsoft HCI Reading Group
Older People as a focus for Inclusive Design
Machine Learning Journal Club
Journal Club: Dirty paper coding and applications
Machine Learning Journal Club
Bayesian Sets
Crucible/Microsoft HCI Reading Group
Making by making strange: Defamiliarization and the design of domestic technologies
Machine Learning Journal Club
SUPERFAST SOLUTION OF REAL POSITIVE DEFINITE TOEPLITZ SYSTEMS
Machine Learning Journal Club
Unsupervised Learning from Users' Error Correction in Speech Dictation
Machine Learning Journal Club
Hierarchical Bayesian inference in the visual cortex
Crucible/Microsoft HCI Reading Group
Implications for Design
Machine Learning Journal Club
"Weak pairwise correlations imply strongly correlated network states in a neural population"
Machine Learning Journal Club
Machine Learning Journal Club: Gaussian Processes for Machine Learning Chapter VIII
Machine Learning Journal Club
Machine Learning Journal Club: "Gaussian Processes for Machine Learning"
Machine Learning Journal Club
Machine Learning Journal Club: "Gaussian Processes for Machine Learning"
Machine Learning Journal Club
Machine Learning Journal Club: "Gaussian Processes for Machine Learning"
Crucible/Microsoft HCI Reading Group
Project Ernestine: Validating a GOMS analysis for predicting and explaining real-world performance
Machine Learning Journal Club
Machine Learning Journal Club: "Dependent Gaussian Processes"
Machine Learning Journal Club
Machine Learning Journal Club: "Assessing Approximations for Gaussian Process Classification"
Machine Learning Journal Club
Machine Learning Journal Club: "Sparse Gaussian Processes using Pseudo-inputs"
Crucible/Microsoft HCI Reading Group
An evaluation of integrated zooming and scrolling on small screens
Machine Learning Journal Club
reading-group: Divergence measures and message passing
Machine Learning Journal Club
reading-group: Expectation Propagation
Machine Learning Journal Club
reading-group: Interpolating Between Types and Tokens by Estimating Power-Law Generators
Probability + Information Reading Group
Uffink's "Can the maximum entropy principle be explained as a consistency requirement?"
Crucible/Microsoft HCI Reading Group
The streamlined cognitive walkthrough method, working around social constraints encountered in a software development company
Machine Learning Journal Club
reading-group: TD-Gammon
Probability + Information Reading Group
Uffink's "Can the maximum entropy principle be explained as a consistency requirement?"
Machine Learning Journal Club
Reading Group: "Learning to Predict by the Methods of Temporal Differences"
Probability + Information Reading Group
Gull and Skilling's "The Maximum Entropy Method"
Probability + Information Reading Group
Knuth's "Source Separation as an exercise in logical inference"
Probability + Information Reading Group
John Skilling's "The Calculus of Rational Inference"
Crucible/Microsoft HCI Reading Group
User interface design with matrix algebra.
Probability + Information Reading Group
Knuth's "Lattice Duality: The Origin of Probability and Information"
Probability + Information Reading Group
Knuth's "Lattice Duality: The Origin of Probability and Information" (4)
Probability + Information Reading Group
Knuth's "Lattice Duality: The Origin of Probability and Information" (3)
Probability + Information Reading Group
Knuth's "Lattice Duality: The Origin of Probability and Information" (2)
Crucible/Microsoft HCI Reading Group
Bounding Rational Analysis: Constraints on the Approach to Optimality
Probability + Information Reading Group
Knuth's "Lattice Duality: The Origin of Probability and Information"
Crucible/Microsoft HCI Reading Group
Wicked Problems Revisited
Crucible/Microsoft HCI Reading Group
Let's stop pushing the envelope and start addressing it: a reference task agenda for HCI
Crucible/Microsoft HCI Reading Group
An activity theory approach to affordance
Machine Learning Journal Club
multicanonical sampling
Crucible/Microsoft HCI Reading Group
What we talk about when we talk about context
Machine Learning Journal Club
Reading group: Bayesian inference via search
Please see above for contact details for this list.