Samuel Hurault

According to our database1, Samuel Hurault authored at least 14 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Geometry-Aware Discretization Error of Diffusion Models.
CoRR, May, 2026

Tessellations of Semi-Discrete Flow Matching.
CoRR, May, 2026

2025
DeepInverse: A Python package for solving imaging inverse problems with deep learning.
J. Open Source Softw., December, 2025

From Denoising Score Matching to Langevin Sampling: A Fine-Grained Error Analysis in the Gaussian Setting.
CoRR, March, 2025

Reconstruct Anything Model: a lightweight foundation model for computational imaging.
CoRR, March, 2025

2024
Convergent Plug-and-Play with Proximal Denoiser and Unconstrained Regularization Parameter.
J. Math. Imaging Vis., August, 2024

2023
A Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-Play with Proximal Denoiser.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Self-Consistent Velocity Matching of Probability Flows.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
An Analysis of Generative Methods for Multiple Image Inpainting.
CoRR, 2022

Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization.
Proceedings of the International Conference on Machine Learning, 2022

Gradient Step Denoiser for convergent Plug-and-Play.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2020
Self-Supervised Small Soccer Player Detection and Tracking.
Proceedings of the MMSports '20: Proceedings of the 3rd International Workshop on Multimedia Content Analysis in Sports, 2020

2018
EPLL: An Image Denoising Method Using a Gaussian Mixture Model Learned on a Large Set of Patches.
Image Process. Line, 2018


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