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Kavli Institute for Cosmology, Cambridge


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