EPLL: An Image Denoising Method Using a Gaussian Mixture Model Learned on a Large Set of Patches. - Samuel Hurault; Thibaud Ehret; Pablo Arias 001 (Image Process. Line, 2018)

Self-Supervised Small Soccer Player Detection and Tracking. - Samuel Hurault; Coloma Ballester; Gloria Haro (MMSports@MM, 2020)

Gradient Step Denoiser for convergent Plug-and-Play. - Samuel Hurault; Arthur Leclaire; Nicolas Papadakis (ICLR, 2022)

Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization. - Samuel Hurault; Arthur Leclaire; Nicolas Papadakis (ICML, 2022)

An Analysis of Generative Methods for Multiple Image Inpainting. - Coloma Ballester; Aurélie Bugeau; Samuel Hurault; Simone Parisotto; Patricia Vitoria (CoRR, 2022)

Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems. - Samuel Hurault; Ulugbek Kamilov; Arthur Leclaire; Nicolas Papadakis (NeurIPS, 2023)

Self-Consistent Velocity Matching of Probability Flows. - Lingxiao Li; Samuel Hurault; Justin M. Solomon (NeurIPS, 2023)

A Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-Play with Proximal Denoiser. - Samuel Hurault; Antonin Chambolle; Arthur Leclaire; Nicolas Papadakis (SSVM, 2023)

Convergent Plug-and-Play with Proximal Denoiser and Unconstrained Regularization Parameter. - Samuel Hurault; Antonin Chambolle; Arthur Leclaire; Nicolas Papadakis (J. Math. Imaging Vis., 2024)

Reconstruct Anything Model: a lightweight foundation model for computational imaging. - Matthieu Terris; Samuel Hurault; Maxime Song; Julián Tachella (CoRR, 2025)

From Denoising Score Matching to Langevin Sampling: A Fine-Grained Error Analysis in the Gaussian Setting. - Samuel Hurault; Matthieu Terris; Thomas Moreau 001; Gabriel Peyré (CoRR, 2025)