2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ML2023
Gradient flow on extensive-rank positive semi-definite matrix denoising
Antoine Bodin, Nicolas Macris
In this work, we present a new approach to analyze the gradient flow for a positive semi-definite matrix denoising problem in an extensive-rank and high-dimensional regime. We use…
cs.LG2021★ 2 cited
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model
Antoine Bodin, Nicolas Macris
Recent evidence has shown the existence of a so-called double-descent and even triple-descent behavior for the generalization error of deep-learning models. This important phenomen…