Martin Ryle Seminar Room, KICC


2010-12-08 16:00: Cosmography with cluster strong lensing (Professor Priyamvada Natarajan,  Yale University)

2012-02-17 16:00: Cosmology with Photometric Cluster Samples (Eduardo Rozo, Einstein and KICP Fellow, University of Chicago)

2023-12-06 10:00: Introduction to Transformers and N-grams (Sinan Deger (Institute of Astronomy))

2024-01-17 10:00: Application of normalising flows to hierarchical Bayesian inference (Will Handley (Cavendish/KICC))

2024-02-14 10:00: An Overview of Probabilistic Latent Variable Models (Aditya Ravuri (Computer Lab))

2024-02-28 10:00: Simulation Based Inference - an inevitable future? (David Yallup (University of Cambridge))

2024-03-27 10:00: pop-cosmos: Comprehensive Forward Modelling of Photometric Galaxy Survey Data (Stephen Thorp - Oskar Klein Centre, Stockholm University)

2024-04-24 10:00: Neural ratio estimation: the future of supernova cosmology? (Matthew Grayling (University of Cambridge))

2024-05-08 10:00: EuCAIFCon recap (Speaker to be confirmed)

2024-05-22 10:00: Learning Posterior Distributions in Underdetermined Inverse Problems (Christina Runkel, DAMTP, Cambridge Image Analysis.)

2024-06-12 10:00: The future of astronomy in the era of AI and big data (Sara Webb (Swinburne University of Technology))

2024-10-14 16:00: Hybrid Summary Statistics: Telling Neural Networks where to look (Lucas Makinen (Imperial))

2024-10-28 16:00: Scaling laws for large time-series models: More data, more parameters (James Alvey (KICC))

2024-10-31 10:00: RFI from the sky; unintended electromagnetic radiation from satellite constellations (Cees Bassa, ASTRON)

2024-11-11 16:00: Type Ia Supernovae standardisation with the ZTF SN Ia DR2 sample (Madeleine Ginolin (IP2I, Lyon))

2024-11-14 10:00: Revised LOFAR upper limits on the 21-cm signal power spectrum at z ≈ 9 . 1 (Anshuman Acharya, Max Planck Institut fur Astrophysik)

2024-11-25 16:00: Data validation through anomaly detection for Gaia DR4 (Sireesha Chamarthi (IoA / CASU))

2024-11-28 10:00: Unveiling the ionising properties of galaxies at the Epoch of Reionisation with NIRCam (Charlotte Simmonds (KICC))

2024-12-09 16:00: Everything is connected: galaxy properties couple internally, environmentally, and historically (Christian Kragh Jespersen (Princeton University))

2025-02-10 16:00: Approximate the Simulator, Not the Inference: Using Converging Hamiltonian Monte Carlo for Flexible SBI in Astronomy (Matthew O'Callaghan (IoA, Cambridge))

2025-02-24 16:00: Integrated 3-point correlation functions of weak lensing cosmic shear (Dr Anik Halder (Institute of Astronomy))

2025-03-10 16:00: Statistical aspects in the determination of the proton's structure (Maria Ubiali (DAMTP))

2025-03-24 16:00: Shared Stochastic Gaussian Process Latent Variable Models: A Multi-modal Generative Model for Quasar Spectra (Dr. Vidhi Lalchand (MIT))

2025-06-02 16:00: Imaging and Design with Differentiable Physics Models (Benjamin Pope (Macquarie University))

2025-06-10 16:00: From Squiggles to Signals: Learning Useful Representations for Discovery in Time-Domain Astronomy (Daniel Muthukrishna (MIT))

2025-06-16 16:00: Novel Approaches to Black Hole Ringdown Fits (Richard Dyer (IoA))

2025-07-21 16:00: Bayesian Component Separation for DESI LAE Automated Spectroscopic Redshifts and Photometric Targeting (Ana Sofía Uzsoy (Harvard))

2025-08-14 16:00: Real-time ML-powered transient discovery with GOTO and Kilonova Seekers  (Tom Killestein (Warwick))

2025-11-10 16:00: Cosmology as an Optimisation Problem (T. Lucas Makinen (DAMTP))

2025-11-24 16:00: Measuring the Milky Way's Mass with Gaia (Gregory Green (MPIA))

2025-12-08 16:00: A Conceptual Introduction to Deep Learning (Joshua Speagle (Univ. of Toronto))

2026-02-16 16:00: Hierarchical Bayesian inference: constraining population distribution of dark matter halo shapes via stellar streams (David Chemaly (IoA))

2026-03-02 16:00: AION-1: An Omnimodal Foundation Model for Astronomical Sciences (Thomas Hehir (IoA))

2026-03-23 16:00: Detecting Localised Density Anomalies in Multivariate Data (Max Autenrieth (StatsLab/IoA))