Debating the potential of Machine Learning in astronomical surveys

›15:00 (1h)

Review

› Henri Mineur amphitheater / Plenary online session

15:00 - 16:00 (1h)

Review

Henri Mineur amphitheater / Plenary online session

› Review on generative models in Machine Learning - Gilles Loupe, Universite de Liege 15:00-16:00 (1h)

›16:00 (20min)

Break

› Breakout rooms

16:00 - 16:20 (20min)

Break

Breakout rooms

›16:20 (20min)

Flash talk

› Henri Mineur amphitheater / Plenary online session

16:20 - 16:40 (20min)

Flash talk

Henri Mineur amphitheater / Plenary online session

› Studying Morphology & Quenching of Galaxies in the All Sky-Era using Interpretable Bayesian Convolutional Neural Networks - Aritra Ghosh, Yale University 16:20-16:24 (04min)

› Emulating the void density profile and the void-size function - Giorgia Pollina, Universitäts-Sternwarte, Ludwig-Maximilians Universität München 16:28-16:32 (04min)

› Pix2Prof: fast extraction of sequential information from galaxy imagery via a deep natural language 'captioning' model - 16:32-16:36 (04min)

› Bayesian Inference Acceleration: a Deep Learning Approach - Marco Bonici, Istituto di Astrofisica Spaziale e Fisica Cosmica - Milano 16:36-16:40 (04min)

›16:40 (1h)

Contributed

› Henri Mineur amphitheater / Plenary online session

16:40 - 17:40 (1h)

Contributed

Henri Mineur amphitheater / Plenary online session

› CosmicRIM : Reconstructing Early Universe by Combining Differentiable Simulations with Recurrent Inference Machines - Chirag Modi, Flatiron Institute 16:40-16:55 (15min)

› Bridging the gap between simulations and survey data - domain adaptation for deep learning in astronomy - Aleksandra Ciprijanovic, Fermi National Accelerator Laboratory 16:55-17:10 (15min)

› Stratified Learning: A general-purpose method for learning under covariate shift with applications to observational cosmology - Roberto Trotta, Department of Physics [Imperial College London], Scuola Internazionale Superiore di Studi Avanzati / International School for Advanced Studies 17:10-17:25 (15min)

› Neural spectrum encoding - Peter Melchior, Princeton University 17:25-17:40 (15min)

›17:40 (20min)

Coffee break

› Breakout rooms

17:40 - 18:00 (20min)

Coffee break

Breakout rooms

›18:00 (1h30)

Debate

› Henri Mineur amphitheater / Plenary online session

18:00 - 19:30 (1h30)

Debate

Henri Mineur amphitheater / Plenary online session