Samuel Hurault

19 papers A* 4Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
DeepInverse: A Python package for solving imaging inverse problems with deep learning.
J. Open Source Softw.
Julián Tachella, Matthieu Terris, Samuel Hurault, Andrew Wang, Leo Davy, Jérémy Scanvic, Victor Sechaud, Romain Vo, Thomas Moreau, Thomas Davies, Dongdong Chen, Nils Laurent, Brayan Monroy, Jonathan Dong, Zhiyuan Hu, Minh-Hai Nguyen, Florian Sarron, Pierre Weiss, Paul Escande, Mathurin Massias, Thibaut Modrzyk, Brett Levac, Tobías I. Liaudat, Maxime Song, Johannes Hertrich, Sebastian Neumayer, Georg Schramm
2025 J jnl
From Denoising Score Matching to Langevin Sampling: A Fine-Grained Error Analysis in the Gaussian Setting.
CoRR
Samuel Hurault, Matthieu Terris, Thomas Moreau, Gabriel Peyré
2025 J jnl
Reconstruct Anything Model: a lightweight foundation model for computational imaging.
CoRR
Matthieu Terris, Samuel Hurault, Maxime Song, Julián Tachella
2024 J jnl
Convergent Plug-and-Play with Proximal Denoiser and Unconstrained Regularization Parameter.
J. Math. Imaging Vis.
Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
2023 — conf
A Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-Play with Proximal Denoiser.
SSVM
Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
2023 J jnl
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser.
CoRR
Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
2023 A* conf
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems.
NeurIPS
Samuel Hurault, Ulugbek Kamilov, Arthur Leclaire, Nicolas Papadakis
2023 J jnl
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems.
CoRR
Samuel Hurault, Ulugbek Kamilov, Arthur Leclaire, Nicolas Papadakis
2023 J jnl
Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter.
CoRR
Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
2023 A* conf
Self-Consistent Velocity Matching of Probability Flows.
NeurIPS
Lingxiao Li, Samuel Hurault, Justin M. Solomon
2023 J jnl
Self-Consistent Velocity Matching of Probability Flows.
CoRR
Lingxiao Li, Samuel Hurault, Justin Solomon
2022 J jnl
An Analysis of Generative Methods for Multiple Image Inpainting.
CoRR
Coloma Ballester, Aurélie Bugeau, Samuel Hurault, Simone Parisotto, Patricia Vitoria
2022 A* conf
Gradient Step Denoiser for convergent Plug-and-Play.
ICLR
Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
2022 A* conf
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization.
ICML
Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
2022 J jnl
Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization.
CoRR
Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
2021 J jnl
Gradient Step Denoiser for convergent Plug-and-Play.
CoRR
Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
2020 — conf
Self-Supervised Small Soccer Player Detection and Tracking.
MMSports@MM
Samuel Hurault, Coloma Ballester, Gloria Haro
2020 J jnl
Self-Supervised Small Soccer Player Detection and Tracking.
CoRR
Samuel Hurault, Coloma Ballester, Gloria Haro
2018 J jnl
EPLL: An Image Denoising Method Using a Gaussian Mixture Model Learned on a Large Set of Patches.
Image Process. Line
Samuel Hurault, Thibaud Ehret, Pablo Arias