Jamming of particles and machine learning models
Invited
Abstract
In this talk I will describe the analogy between hard spheres in high dimension and some machine learning problems focusing on the properties of their landscape and their jamming transition. I will highlight how marginal stability emerges in both cases and what are its consequences.
–
Presenters
-
Pierfrancesco Urbani
Institut de Physique Théorique, Université Paris Saclay, Institut de physique théorique, Université Paris Saclay, CNRS, CEA, F-91191 Gif-sur-Yvette
Authors
-
Pierfrancesco Urbani
Institut de Physique Théorique, Université Paris Saclay, Institut de physique théorique, Université Paris Saclay, CNRS, CEA, F-91191 Gif-sur-Yvette