Résumé / Abstract Seminaire_GReCO

"Understanding neural networks and their place in cosmology and astronomy"

Tom Charnock
Institut d'Astrophysique de Paris (Paris, France)

Machine learning has become widespread throughout physical sciences. I will present a pedagogical overview of how neural networks work and how they can be presented as statistical models. After presenting a few recent test cases of how useful machine learning can be for cosmology and astronomy, I will go on to show how and why neural networks themselves are partially flawed for scientific purposes, due to lack of uncertainty quantification. I will then present methods in which we can build neural networks into a statistical framework to regain this trust and understanding.

lundi 17 février 2020 - 11:00
Salle des séminaires Évry Schatzman,
Institut d'Astrophysique de Paris

Page web du séminaire / Seminar's webpage