Orateur
Antsa Rasamoela
(L2I Toulouse, CNRS/IN2P3, Université de Toulouse)
Description
After a brief overview of Machine Learning fundamentals, this presentation offers a panorama of the main ML methods applied to gravitational-wave data processing: Simulation-Based Inference (SBI), transformer models, and diffusion models.
This panorama will be illustrated by the MANGO project, which is developing an ML framework to address the challenges posed by future detectors (Einstein Telescope and LISA), whose expected detection rates will exceed the capabilities of traditional MCMC methods.
The aim is to give the community a shared foundation of understanding, as an introduction to the more specific presentations of the day.
Auteur
Antsa Rasamoela
(L2I Toulouse, CNRS/IN2P3, Université de Toulouse)