Samuel Hurault
  • Bio
  • Papers
  • Talks
  • CV
  • Publications
    • From Denoising Score Matching to Langevin Sampling: A Fine-Grained Error Analysis in the Gaussian Setting
    • Reconstruct Anything Model: a lightweight foundation model for computational imaging
    • A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser
    • Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
    • A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser
    • Self-Consistent Velocity Matching of Probability Flows
    • An Analysis of Generative Methods for Multiple Image Inpainting
    • Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization
    • Gradient Step Denoiser for convergent Plug-and-Play
    • Self-Supervised Small Soccer Player Detection and Tracking
    • EPLL: An Image Denoising Method using a Gaussian Mixture Model Learned on a Large Set of Patches
  • Recent & Upcoming Talks
    • Inria MokaMeeting seminar
    • CIROQUO scientific days at CEA
    • Seminaire du groupe Image du MAP5
    • Seminaire du LJK Grenoble
    • The Paris-Saclay Signal Seminar
    • Applied Inverse Problems Conference (2023)
    • ENS Lyon "Machine Learning & Signal Processing” seminar
    • SSVM 2023 (Best PhD paper award)
    • Interfacing Bayesian Statistics, Machine Learning, Applied Analysis, and Blind and Semi-Blind Imaging Inverse Problems
    • Workshop on Mathematical Models for Plug-and-play Image Restoration
    • ICML 2022
    • Analytic and Geometric Approaches to Machine Learning
    • 3rd IMA Conference on Inverse Problems from Theory to Application (2023)
    • ICLR 2021
    • SIAM 2022 Conference on Imaging Science
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SIAM 2022 Conference on Imaging Science

Mar 21, 2022 · 0 min read
Slides
Date
Mar 21, 2022
Event
SIAM 2022 Conference on Imaging Science
Location

Virtual

Last updated on Mar 21, 2022
Samuel Hurault
Authors
Samuel Hurault
CR CNRS
← ICLR 2021 Apr 26, 2022

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