Dates: 1st-2nd June 2023
There will be a KICC Focus Meeting on Astrostatistics and Astro-Machine Learning taking place on Thursday & Friday, June 1-2, 2023 in the Hoyle Lecture Theatre at the Institute of Astronomy, Cambridge.
This two-day meeting will bring together enthusiasts of statistics, machine learning, and data science applied across diverse areas of astronomy. The first part of the meeting will be a workshop focussed on simulation-based inference (aka likelihood-free or implicit likelihood inference) methods and their applications to astrophysics and cosmology, and will feature Kavli Visitors Justin Alsing and Ben Wandelt as invited speakers. The second part of the meeting will broadly survey astrostatistics and astro-machine learning research in the local community.
Link to the programme (updated 26 June 2023).
Organising Committee:
Isobel Romero-Shaw, Will Handley, Kaisey Mandel
Slides will be posted below when available
Thursday, 1st June 2023
10:00 Ben Wandelt & Justin Alsing : What is Simulation-Based Inference? PDF
11:00 Coffee
11:30 Ben Wandelt & Justin Alsing : Applications of SBI
12:00 Christoph Weniger : Simulation-based inference assembly for large forward models (remote) PDF
12:30 Kilian Scheutwinkel : Nested sampling neural ratio estimation (NSNRE) PDF
13:00 Lunch - Churchill College (for registrants)
14:00 Konstantin Karchev : Supernova Ia Cosmology with (TM)NRE: from summary statistics to realistic lightcurves PDF
14:30 Lucas Makinen : The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues PDF
15:00 Steve Gratton : GLASS: A General Likelihood Approximate Solution Scheme PDF
15:30 Tea
Friday, 2nd June 2023
9:30 Justin Alsing & Ben Wandelt : Simulation-Based Inference Decision Theory
10:00 Harry Bevins : Utilising Normalizing Flows to enhance our Bayesian workflows PDF
10:30 Niall Jeffrey : Solving scientific model comparison with Evidence Networks PDF
11:00 Coffee
11:30 Vinesh Maguire-Rajpaul : Overcoming astrostatistical barriers to discovering the first Earth-twin exoplanets PDF
12:00 Rafael da Silva de Souza : Harnessing Tailored Statistical Techniques to Discover Galactic and Extragalactic Star Clusters PDF
12:30 Will Baker : Using machine learning and Bayesian inference in galaxy evolution PDF
13:00 Lunch - Churchill College (for registrants)
14:30 James Alvey : Simulation Based Inference in Astroparticle Physics PDF
14:50 Sam Leeney : A Bayesian Approach to RFI Mitigation PDF
15:10 Dominic Anstey : Time-sensitive Anomaly Flagging through Likelihood Reweighting PDF
15:30 Tea
16:00 Matthew Grayling : Augmenting supernova training sets using Generative Adversarial Networks PDF
16:20 Irene Abril-Cabezas : Joint analysis constraints on the physics of the first galaxies with low frequency radio astronomy data PDF
16:40 Simon Pochinda : Joint astrophysical constraints on parameterized 21 cm models using multiwavelength observations PDF
