Debating the potential of Machine Learning in astronomical surveys

›10:00 (1h)

Review

› Henri Mineur amphitheater / Plenary online session

10:00 - 11:00 (1h)

Review

Henri Mineur amphitheater / Plenary online session

› Imaging Surveys and ML - Elisabeth Krause, University of Arizona 10:00-11:00 (1h)

›11:00 (20min)

Break

› Breakout rooms

11:00 - 11:20 (20min)

Break

Breakout rooms

›11:20 (1h)

Contributed

› Henri Mineur amphitheater / Plenary online session

11:20 - 12:20 (1h)

Contributed

Henri Mineur amphitheater / Plenary online session

› Source detection through semantic segmentation with convolutional neural networks - Maxime Paillassa, Laboratoire dÁstrophysique de Bordeaux [Pessac], Division of Physics and Astrophysical Science, Graduate School of Science, Nagoya University 11:20-11:35 (15min)

› Identifying strong gravitational lenses in current and future large-scale imaging surveys - Raoul Canameras, MPA, Garching 11:35-11:50 (15min)

› Reconstructing blended galaxies with Machine Learning - Lavanya Nemani, INAF - Osservatorio Astronomico di Roma 11:50-12:05 (15min)

› Pushing automated morphological classifications to their limits with the Dark Energy Survey - Jesús Vega Ferrero, Instituto de Astrofisica de Canarias 12:05-12:20 (15min)

›15:00 (20min)

Flash talk

› Henri Mineur amphitheater / Plenary online session

15:00 - 15:20 (20min)

Flash talk

Henri Mineur amphitheater / Plenary online session

› Rediscovering Newton's gravity and Solar System properties using deep learning and inductive biases - Pablo Lemos, Department of Physics and Astronomy [UCL London], Department of physics and Astronomy [University of Sussex] 15:00-15:04 (04min)

› Gaussian Process Regression: An Application to Radio Cosmology - Paula Soares, Queen Mary, University of London 15:04-15:08 (04min)

› Detection of the Damped Lyman-alpha systems in quasar spectra with machine learning algorithms - ting tan, Laboratoire de Physique Nucléaire et de Hautes Énergies 15:08-15:12 (04min)

› Forecasting the power of Higher Order Weak Lensing Statistics with automatically differentiable simulations - Denise lanzieri, CEA-Saclay 15:12-15:16 (04min)

› Manifold learning to explore the galaxy parameter space - Iary Davidzon, DAWN/NBI - Keerthana Jegatheesan, Universidad Diego Portales - Olivier Ilbert, LAM - Clotilde Laigle, IAP 15:16-15:20 (04min)

›15:20 (45min)

Contributed

› Henri Mineur amphitheater / Plenary online session

15:20 - 16:05 (45min)

Contributed

Henri Mineur amphitheater / Plenary online session

› Machine learning within the THREEHUNDERD simulation project - Daniel de Andres, Universidad Autonoma de Madrid 15:20-15:35 (15min)

› Superresolving Herschel imaging: a proof of concept using Deep Neural Networks - Lynge Lauritsen, The Open University 15:35-15:50 (15min)

› Capturing the physics of MaNGA galaxies with self-supervised Machine Learning - Regina Sarmiento, Universidad de La Laguna [Tenerife - SP], Instituto de Astrofisica de Canarias 15:50-16:05 (15min)

›16:05 (20min)

Break

› Breakout rooms

16:05 - 16:25 (20min)

Break

Breakout rooms

›16:25 (1h15)

Contributed

› Henri Mineur amphitheater / Plenary online session

16:25 - 17:40 (1h15)

Contributed

Henri Mineur amphitheater / Plenary online session

› ‘Deep' vs. 'Shallow' Learning in Cosmological Surveys - Ofer Lahav, University College London 16:25-16:40 (15min)

› A Method to Distinguish Quiescent and Dusty Star-forming Galaxies with t-SNE - John Weaver, Cosmic Dawn Center 16:40-16:55 (15min)

› From machine learning to human understanding - Daniel Masters, Caltech / IPAC 16:55-17:10 (15min)

› Use data not models -- Lensing of '69 as an example for data-driven inference - Jenny Wagner, https://thegravitygrinch.blogspot.com 17:10-17:25 (15min)

› Machine learning: lessons learnt with the QUBRICS survey - Francesco Guarneri, Astronomical Observatory of Trieste, Dipartimento di Fisica [Trieste] 17:25-17:40 (15min)

›17:00 (1h)

Break

› Breakout rooms

17:00 - 18:00 (1h)

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