Samuel Hurault

Postdoctoral researcher

I am a postdoctoral researcher at ENS Paris working with with Gabriel Peyré. I obtained my Ph.D from Université de Bordeaux, co-supervised by Nicolas Papadakis and Arthur Leclaire. My research interests include image restoration, generative modeling, nonconvex optimization. The main objective of my PhD was to develop inovative deep denoising priors along with convergent optimization schemes for solving image inverse problems. I am also one of the main developer of the Python library DeepInv, which provides a unified framework for solving inverse problems using deep neural networks.

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Interests

Optimization
Computer Vision
Machine Learning
Signal Processing

Education

PhD in Applied Mathematics, 2023
Université of Bordeaux, France
MRes MVA (Mathematiques, Vision, Apprentissage), 2019
Université Paris-Saclay, France
MRes in Applied Mathematics, 2018
Ecole Normale Superieure Paris-Saclay, France
BSc in Mathematics, 2017
Ecole Normale Superieure Paris-Saclay, France

Publications

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

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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.

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

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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.

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

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

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

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Samuel Hurault, Thibaud Ehret, Pablo Arias (2018). EPLL: An Image Denoising Method using a Gaussian Mixture Model Learned on a Large Set of Patches. In IPOL (2018).

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