2 papers
cs.LG2024
A Rainbow in Deep Network Black Boxes
Florentin Guth, Brice Ménard, Gaspar Rochette +1
A central question in deep learning is to understand the functions learned by deep networks. What is their approximation class? Do the learned weights and representations depend on…
physics.data-an2024
Scattering Spectra Models for Physics
Sihao Cheng, Rudy Morel, Erwan Allys +2
Physicists routinely need probabilistic models for a number of tasks such as parameter inference or the generation of new realizations of a field. Establishing such models for high…