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mathurinmassias.bsky.social
Tenured Researcher @INRIA, Ockham team. Teacher @Polytechnique and @ENSdeLyon Machine Learning, Python and Optimization
14 posts 552 followers 81 following
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🎓🌞 Join the PhD course on Theoretical Foundations of Machine Learning at 🇮🇹 ELLIS Unit Genoa, June 23-27, 2025, hosted by Machine Learning Genoa Center. 🗓️ Apply by: March 16, 2025 📍 University of Genoa (in-person only) 💡 More info: malga.unige.it/education/sc...

submitted 19 hours ago • 1 comment

1-day workshop on Bilevel optimization and hyperparameter tuning at ENS de Lyon, on March 25th : gdr-iasis.cnrs.fr/reunions/bil... Keynote talks by @jmairal.bsky.social @tonysf.bsky.social @samuelvaiter.com, Saverio Salzo and Luce Brotcorne, contributed talks are welcome!

submitted 21 hours ago • 0 comments

Our paper "PnP-Flow: Plug-and-Play Image Restoration with Flow Matching" has been accepted to ICLR 2025. Here a short explainer: We want to restore images (i.e., solve inverse problems) using pretrained velocity fields from flow matching. However, using change of variables is super costly.

submitted 36 days ago • 1 comment

Today something crazy happened. POT has reached 1000 citations (total) 🤩🚀. Very proud to be part of a scientific community that acknowledges open source research software. Please continue to use, cite and contribute to POT ! Small🧵below for those interested pythonot.github.io

submitted 77 days ago • 1 comment

MLSS coming to Senegal ! 📍 AIMS Mbour, Senegal 📅 June 23 - July 4, 2025 An international summer school to explore, collaborate, and deepen your understanding of machine learning in a unique and welcoming environment. Details: mlss-senegal.github.io

submitted 78 days ago • 0 comments

every cool thing I've ever done happened because I had one-or-two people I could constantly annoy with messages like "ooh look what I found" "ooh look what I learned" "ooh look what I broke" and who did the same in return

submitted 93 days ago • 4 comments

Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition! We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423

submitted 93 days ago • 12 comments

Johnson-Lindenstrauss lemma in action: it is possible to embed any cloud of N points from R^d into R^k without distorting their respective distances too much, provided k is not too small (independently of d!) Better: any random Gaussian embedding works with high proba!

submitted 95 days ago • 0 comments

This year, there are 16 positions at CNRS in computer science (8 in "applied" domains → ask me - 8 on "fundamental" domains → ask the other David). @mathurinmassias.bsky.social has a good list of advice mathurinm.github.io/cnrs_inria_a... Official 🔗 www.ins2i.cnrs.fr/en/cnrsinfo/... Don't wait!

submitted 97 days ago • 2 comments

Conditioning of a function = ratio between highest and smallest eigenvalues of its Hessian. Higher conditioning => harder to minimize the function Gradient Descent gets faster on function with decreasing conditioning L/mu 👇

submitted 98 days ago • 2 comments

If you have a PhD and you're interested in doing a postdoc near paris on nonsmooth frank Wolfe methods for machine learning, apply for an fmjh post doc here www.fondation-hadamard.fr/fr/programme... deadline is dec 9!

submitted 100 days ago • 1 comment

New blog post: the Hutchinson trace estimator, or how to evaluate divergence/Jacobian trace cheaply. Fundamental for Continuous Normalizing Flows mathurinm.github.io/hutchinson/

submitted 99 days ago • 0 comments

Time to unearth posts from the previous network! 1°: Two equivalent views on PCA: maximize the variance of the projected data, or minimize the reconstruction error

submitted 100 days ago • 0 comments