Debating the potential of Machine Learning in astronomical surveys

Review

Henri Mineur amphitheater / Plenary online session

› Review on Exoplanets and Machine Learning - Ingo Waldmann, University College London - London's Global University 10:00-11:00 (1h)

Interaction session

Breakout rooms

Contributed

Henri Mineur amphitheater / Plenary online session

› An hybrid physics-ML framework to model exoplanetary light curves - Mario Morvan, University College London - London's Global University 11:20-11:35 (15min)

› A deep transfer learning approach to photospheric parameters of CARMENES target stars - Antonio Bello-Garcia, University of Oviedo 11:35-11:50 (15min)

› Multifrequency Point Source detection with Fully-Convolutional Networks: Performance in realistic microwave sky simulations - José Manuel Casas, Instituto Universitario de Ciencias y Tecnologías Espaciales de Asturias (ICTEA), University of Oviedo, Department of Physics 11:50-12:05 (15min)

› Using a series Machine Learning models for the detection of high-redshift Radio Galaxy candidates. - Rodrigo Carvajal, Institute of Astrophysics and Space Sciences - University of Lisbon 12:05-12:20 (15min)

Review

Henri Mineur amphitheater / Plenary online session

› Review on Machine Learning for Radio-astronomy - Michelle Lochner, University of the Western Cape, South African Radio Astronomy Observatory, African Institute for Mathematical Sciences 15:00-16:00 (1h)

Coffee break

Breakout rooms

Contributed

Henri Mineur amphitheater / Plenary online session

› hyphy: Mapping Dark Matter to Hydrodynamics with Posterior Inference - Benjamin A Horowitz, Department of Astrophysical Sciences [Princeton] 16:20-16:35 (15min)

› MINERVA team: Winning the SKA Science Data Challenge 2 with fast dedicated CNN architectures - David Cornu, Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique 16:35-16:50 (15min)

› Inference and probabilistic modelling with machine learning for LISA data analysis - Natalia Korsakova, Systèmes de Référence Temps Espace 16:50-17:05 (15min)

› Deep Neural Networks for detection of sources in radio astronomical maps: main challenges and current achievements. - Renato Sortino, INAF - Osservatorio Astrofisico di Catania - Daniel Magro, University of Malta [Malta] 17:05-17:20 (15min)

Interaction session

Breakout rooms

Conference summary

Henri Mineur amphitheater / Plenary online session

Brice Ménard (JHU)

Debate

Henri Mineur amphitheater / Plenary online session

Concluding remarks

Henri Mineur amphitheater / Plenary online session