Postdoctoral researcher at ENS Paris. Machine Learning & Image Processing.
Joined March 2020
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Samuel Hurault retweeted
DeepInverse has joined the PyTorch Ecosystem, making imaging with deep learning easier and more reproducible across research and industry.
DeepInverse is an open source framework for solving imaging inverse problems in medical imaging, computational photography, remote sensing, astronomical imaging, microscopy and more. DeepInverse makes imaging with deep learning easy and is developed by a passionate community of researchers, practitioners and engineers.
🔗 Learn more & explore how to get involved: hubs.la/Q03RKyHJ0
#PyTorch #OpenSourceAI #DeepInverse #Imaging #DeepLearning
Samuel Hurault retweeted
Summer School's Hands-On Tutorials
💻DeepInverse: A PyTorch Library for Imaging Inverse Problems
🎓By @TachellaJulian (ENS Lyon) @MatthieuTerris (Inria) @HuraultSamuel (CNRS)
📡Build Your Own Radar With MIT’s Next-Generation Kit
🎓By Brad Perry & Ken Kolodziej, MIT Lincoln Lab
Not coming back from Marseille empty handed #DeepInverse @TachellaJulian @MatthieuTerris @ddongchen @minhhai712
Samuel Hurault retweeted
Merci pour l’opportunité d’avoir échangé sur mes recherches et mes expériences !
Merci à mes directeurs de thèse @gabrielpeyre et @RemiGribonval pour votre supervision 😊
📽️On a interviewé @SibylleMarcotte , doctorante @ENS_ULM, membre de l'équipe Ockham, lauréate 🏆du prix Jeunes Talents France 2024 L'Oréal - @UNESCO #ForWomenInScience
▶️ses recherches et ses conseils pour les filles souhaitant devenir #scientifiques :)
@UnivLyon1
@ENSdeLyon
Samuel Hurault retweeted
🚀 deepinverse hackathon🚀
We just finished a couple of days working on deepinverse in the beautiful CIRM venue.
deepinv.github.io/deepinv/
Immensely grateful to the dream team of contributors that participated in the hackathon!
A thread 🧵
Samuel Hurault retweeted
@MatthieuTerris, @HuraultSamuel and I will be giving a tutorial on deepinverse in Luxembourg next year!
+ the symposium has a great lineup of speakers!
𝗔𝗻𝗻𝗼𝘂𝗻𝗰𝗶𝗻𝗴 𝘁𝗵𝗲 𝗜𝗦𝗖𝗦 𝟮𝟬𝟮𝟱 𝗦𝘆𝗺𝗽𝗼𝘀𝗶𝘂𝗺 𝗮𝗻𝗱 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽!
The Call for Papers for the 2025 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝘆𝗺𝗽𝗼𝘀𝗶𝘂𝗺 𝗼𝗳 #𝗖𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹𝗦𝗲𝗻𝘀𝗶𝗻𝗴 (ISCS2025.com) is now available!
Samuel Hurault retweeted
@OwkinScience perfectly captured the atmosphere of our benchopt sprint !
tinyurl.com/bench-sprint-vid…
A lot of exchanges, coding, and fun! 😄
So proud of what we achieved during these three days!
Here is a recap of this sprint's output: notes.inria.fr/s/XDBWzL8ID#
Samuel Hurault retweeted
Newbies but goldies 😌: “Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows” with @gabrielpeyre and @RemiGribonval.
We study conservation laws during the (euclidean or not) gradient or momentum flow of neural networks.
arxiv.org/abs/2405.12888
Samuel Hurault retweeted
📢 DeepInverse v0.2 is out!
New features:
📏 Physics for blind inverse + calibration problems
🕸️ Advanced blurs
💣 Random physics generators
🤖New modular Trainer
🪂 Phase retrieval
🎉 Patch and 3D priors
by new contributors!
A🧵
deepinv.github.io/
Very honored to have received the PhD prize « Signal, Image, Vision » from the French research organizations EEA, GdR IASIS and GRETSI. Thanks a lot for this distinction.
Samuel Hurault retweeted
📢📢 DeepInverse v0.1.0 Release 📢📢
github.com/deepinv/deepinv
💣New SOTA denoisers
🕸️More diffusion-based algorithms (DPS, DiffPIR)
🤗HuggingFace integration
🎁More training utils (on-the-fly data generation, etc)
🤖Explicit priors (L1Prior, etc)
Happy to share that I defended my PhD thesis yesterday. It was a wonderful moment that I got to share with friends and family. Thanks to everybody who listened to me in Bordeaux or from distance. If you are interested, you can find my PhD manuscript here : plmbox.math.cnrs.fr/f/64a934…
Samuel Hurault retweeted
🎁Diffusion Posterior Sampling (DPS) is now part of the deepinverse library.
Big thanks to @hyungjin_chung for the contribution!
The list of deepinv contributors keeps growing 🎉
2 papers accepted at Neurips 2023 !
- Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Probems. With @ukmlv, A. Leclaire and N. Papadakis.
- Self-Consistent Velocity Matching of Probability Flows. With Lingxiao Li and @JustinMSolomon.
Samuel Hurault retweeted
DiffPIR is a pretty exciting algorithm mixing diffusion & plug-and-play algorithms. By relying on an operator splitting strategy, it does not require any restrictive assumption on the measurement operator (e.g. no SVD) 🤸
Samuel Hurault retweeted
SOTA diffusion methods can be easily deployed in deep inverse your favorite imaging problem!
Go pip install deepinv 💣
Samuel Hurault retweeted
Toutes nos félicitations👏à Luca Calatroni, chercheur @CNRS au @Laboratoire_I3S @INS2I_CNRS @Univ_CotedAzur @inria_sophia, lauréat d’une ERC Starting Grant 2023 pour son projet MALIN
#ERCStG @ERC_Research
➡️erc.europa.eu/news-events/ne…
