November 27, 2023 to December 1, 2023
Dual node
Europe/Paris timezone

Generative models to assist sampling

Nov 28, 2023, 10:00 AM
Amphitheater (IAP)



Review Paris Review presentations


Prof. Marylou Gabrié (CMAP, Ecole Polytechnique)


Deep generative models parametrize very flexible families of distributions able to fit complicated datasets of images or text. These models provide independent samples from complex high-distributions at negligible costs. On the other hand, sampling exactly a target distribution, such a Bayesian posterior or the Boltzmann distribution of a physical system, is typically challenging: either because of dimensionality, multi-modality, ill-conditioning or a combination of the previous. In this talk, I will discuss opportunities and challenges in enhancing traditional inference and sampling algorithms with learning.

Presentation materials