24 citations · 42 across the 3 of their papers we have counts for
3 papers
physics.data-an2023★ 15 cited
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…
cs.LG2023★ 3 cited
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…
astro-ph.IM2021★ 24 cited
How to quantify fields or textures? A guide to the scattering transform
Sihao Cheng, Brice Ménard
Extracting information from stochastic fields or textures is a ubiquitous task in science, from exploratory data analysis to classification and parameter estimation. From physics t…