Mathurin Massias @mathusmassias
Researcher @INRIA_lyon, Ockham team. Teacher @Polytechnique and @ENSdeLyon Machine Learning, Python and Optimization mathurinm.github.io Paris, France Joined July 2018-
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Open source is a wild ride and totally worth it! Bark.cpp just hit 500 stars on GitHub! ⭐⭐ Nov 23: I abandon Bark.cpp—too buggy. Mar 24: Give it one last shot; finally squash those bugs. Apr 24: Time to market this thing—but how? Yesterday: Tweeted it out with a video demo,…
Made this when I was bored and I don't care to refine it more so here you go - visualizing how the frank-wolfe algorithm works on a simple example: the constraint set is an octagon in R^2 and the objective function is just the squared distance to the point a (denoted by a star).
Junior professor in AI position at @ENSdeLyon, with funding & very limited teaching (64 h) : …xie.enseignementsup-recherche.gouv.fr/ensup/ListesPo… Please RT ! 🙏
For convex optimization enthusiasts, here is a question that looks easy, but that I find myself struggling with more than I thought. It is at least true when x_k is bounded, see: math.stackexchange.com/questions/4896…
As the ICML author-reviewer discussion is ending, I have to share this gem which is an all-time low for me: rev2: "providing a missing citation in the rebuttal is not acceptable" 🥰
awesome lineup !
Congrats to our PhD student Anne Gagneux (w @EmmanuelSoubies @RemiGribonval) for winning the best poster awards at SMAI MODE days 2024 ! Very proud of her @smai_mode
La conférence SMAI-Mode a démarré à Lyon, démarrant par un très bel exposé de Anne Auger sur des méthodes d'optimisation boîte noire stochastique et leurs résultats de convergence.
@GiovanniNeglia1 and I are hiring a PhD student in #FederatedLearning! Details here: jobs.inria.fr/public/classic… The precise topic is flexible and can be adapted depending the skills and interests of the applicant. Please RT!
Our #SummerSchools are here! Come meet us and learn about #machinelearning, #computervision and #deeplearning, #ML for applied #harmonicanalysis. Info on #MLCC, #DLCV and #AHAML now available on our website, read more here: malga.unige.it/education/#sch…
📢 *PhD opening* at @inria_grenoble ! Edouard Pauwels, @vaiter and myself are looking for a student to work with us on learning theory for bilevel optimization, in particular, the implicit bias in bilevel optimization. If interested, please reach out!
🐝How much does your neighborhood buzz?🐝 In our latest paper with J. Achddou and @NicoloCB we show how listening to the local buzz may help multiple agents learn multiple tasks in an online fashion. To appear at #AISTATS2024 Preprint: arxiv.org/abs/2310.17385
If you're a student outside of France and you're interested in doing a PhD related to AI in France, consider applying to any of the projects listed here: adum.fr/psaclay/pten?f… Deadline is January 17th 2024.
Calling all optimizers: we are organizing SMAI MODE in Lyon, 27-29 March. From optim for ML to shape optimization through optimal control, and more! There will be a 2 days graduate course on optimal transport by Yann Brenier and @gabrielpeyre! Register: indico.math.cnrs.fr/event/9418/
In the convex case, does there exist convergence rates for (sub)gradient descent when inf f exists but is not attained (eg f(x) = exp(x)) ? All proofs I know exploit the fact that inf f = f(x*)
Gabriel Peyré @gabrielpeyre
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31 Followers 292 Following Computer Vision Engineer | Deep Learning | Machine Learning | Data Science | Statistics | Python | R #MLOpsGabriel Peyré @gabrielpeyre
92K Followers 449 Following @CNRS researcher at @ENS_ULM. One tweet a day on computational mathematics.Frank Nielsen @FrnkNlsn
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2K Followers 241 Following Assistant professor @epfl (previously @cnrs researcher). Interested by what's simple, beyond the obvious.Samuel Vaiter @vaiter
734 Followers 295 Following @CNRS Researcher in Optimization & Machine learningKonstantin Mishchenko @konstmish
4K Followers 564 Following Research Scientist at Samsung AI Center Outstanding Paper Award @icmlconf 2023 Action Editor @TmlrOrg I tweet about ML papers and mathMathieu Dagréou @Mat_Dag
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1K Followers 238 Following Senior Researcher @Inria @inria_sophia, based in ☀️ Montpellier (France) Machine Learning, Privacy, Decentralized & Federated LearningDalalyan Arnak @ArnakDalalyan
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3K Followers 639 Following Optimization/ML Learning a little about lean https://t.co/cQ1yukSnEQTony S.F. @tonysilveti
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465 Followers 4K Following PhD candidate at @MBZUAI optim. & ML (esp. iterative hard-thresholding & zeroth-order). Ex @Huawei, Ex @Inria, MSc. @Supelec '16.mat @mat053418764299
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21 Followers 34 FollowingCharles Guille-Escure.. @Cguille_escuret
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118 Followers 227 FollowingConference on Parsimo.. @CPALconf
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7K Followers 101 Following Intelligence just turned out to be an emergent property of predicting the next token.Also, in the Gaussian case, the polar decomposition of Brenier is the polar decomposition of matrices, where the Optimal Transport is the symmetric part (the orthogonal one being measure preserving, ie does not change the measure hence the transport)
📢 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
for those who are unaware, unicodeit.net is a great tool for easy TeX-to-unicode conversion for tweets, messaging, etc.
🎉 ERC Consolidator grant🎉 Starting October 1, the dynaBBO project will focus on mathematical and ML aspects of dynamic configuration and selection of black-box optimization algorithms. Exciting times ahead 😎 w/ @ERC_Research @LIP6_lab @CNRS @CNRSinformatics @Sorbonne_Univ_
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.
Open source is a wild ride and totally worth it! Bark.cpp just hit 500 stars on GitHub! ⭐⭐ Nov 23: I abandon Bark.cpp—too buggy. Mar 24: Give it one last shot; finally squash those bugs. Apr 24: Time to market this thing—but how? Yesterday: Tweeted it out with a video demo,…
Proud to announce that after multiple grant applications and paper revisions this year I still have nothing new to announce 🎉 Here to normalise being in the working away and not seeing the wins yet phase of the #academic cycle.
"Boring AI" technology like @scikit_learn is your antidote to "hype AI"! @hugobowne from @OuterboundsHQ says it best. To dig deep into your data and improve your company performance, there is nothing like a little a fit-predict routine to save the day. Actually exciting😉
Bark.cpp generates audio tokens in just 7ms! ⚡ Initially, the 4-bit quantized Bark model produced tokens in 25ms. Switching to @suno_ai_'s small Bark model reduced inference times to 7ms while maintaining great audio quality! We support both models now!…
@sp_monte_carlo I don't know - the earliest reference I know is from Laczos' ICM lecture from 1958 where here shows existence of the SVD using this construction. I think that he has a good name for the trick, but I don't recall it.
The lottery ticket hypothesis, but the one for papers
In case some of you were (like me) curious about this stat for AI conferences: here it is for ICLR2024
Calculus of variations studies infinite-dimensional optimization problems over functions. The most celebrated examples are geodesics and Brachistochrone. en.wikipedia.org/wiki/Calculus_… en.wikipedia.org/wiki/Brachisto…
@tonysilveti A few more tweets like this and you'll hit 1k followers!
Milan university campus hijacked by #MilanDesignWeek
Comparing models in brain-computer interfaces is quite super complicated! There are many unavailable datasets and methodological errors in machine learning and neuroscience part. We are happy to release a paper to help the area with the Mother of all BCI Benchmarks (MOABB)!
Made this when I was bored and I don't care to refine it more so here you go - visualizing how the frank-wolfe algorithm works on a simple example: the constraint set is an octagon in R^2 and the objective function is just the squared distance to the point a (denoted by a star).
Merci @CNRSinformatics @anaisc30 pour cet article à l'occasion de notre IEEE SPS Sustained Impact Paper Award 🏆
#Distinction 🏆 | Cédric Févotte, directeur de recherche @CNRS à l'@IRIToulouse, co-auteur d'une recherche sur l’évaluation d’algorithmes de séparation de sources vient d’être récompensé pour l’impact durable de sa publication par l’IEEE. ➡️ ins2i.cnrs.fr/fr/cnrsinfo/de…
#Distinction 🏆 | « J’espère que les méthodes séquentielles sur lesquelles je travaille pourront aider à reconsidérer la façon de mener des essais cliniques adaptatifs », Émilie Kaufmann, récompensée par la médaille de bronze @CNRS. ➡️ ins2i.cnrs.fr/fr/cnrsinfo/em… 🤝 @univ_lille
Experts of Bregman divergences, I need help for a reference Who first proposed the concept of generalized Bregman divergence D_f(x;a)=f(x)+f*(a)-<a,x> ? I found Gordon COLT'99, see image, but it must be an older idea. Maybe Amari proposed it first?