Publications

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

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

Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis (2024). A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser. In JMIV.

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

Lingxiao Li, Samuel Hurault, Justin Solomon (2023). Self-Consistent Velocity Matching of Probability Flows. In Neurips 2023.

Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis (2023). A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser. In SSVM 2023.

Coloma Ballester, Aurelie Bugeau, Samuel Hurault, Simone Parisotto, Patricia Vitoria (2022). An Analysis of Generative Methods for Multiple Image Inpainting. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging.

Samuel Hurault, Arthur Leclaire, Nicolas Papadakis (2022). Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization. In ICML 2022.

Samuel Hurault, Arthur Leclaire, Nicolas Papadakis (2021). Gradient Step Denoiser for convergent Plug-and-Play. In ICLR 2021.

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