Samuel Hurault

About Me

I am a CNRS researcher in the MMSID team at LIGM (Université Gustave Eiffel, France). My research focuses on generative modeling, image inverse problems, and optimization, with a particular interest in the theoretical analysis of denoising diffusion models. I am also a core developer of the Python library DeepInv, which provides a unified framework for solving inverse problems with deep neural networks.

Previously, I was a postdoctoral researcher at ENS Paris with Gabriel Peyré, and I obtained my Ph.D. from Université de Bordeaux, co-supervised by Nicolas Papadakis and Arthur Leclaire.