@pamattei Profile picture

Pierre-Alexandre Mattei

@pamattei

Research scientist @inria, member of the @inriaMaasai team, statistical machine learning. Also on 🦋

Joined June 2015
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Pierre-Alexandre Mattei Reposted

Elon Musk: I'm more confident and assertive than a BBC journalist, hence there is no rise in hate speech on X. My timeline literally right now:

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A classic 😂



Alright, I’m trying this out, starting with a mix of Markov processes and chicken recipes. 🦋

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Pierre-Alexandre Mattei Reposted

Deux extensions (Chrome ou FF) pour migrer de X à #Bluesky sans probleme. Un fois votre compte Bluesky créé (plus besoin d'invitation), vous avez: Un premier outil qui sert à importer les comptes X que l'on suit sky-follower-bridge.dev Cela prend un peu de temps, il y a…


Pierre-Alexandre Mattei Reposted

On arxiv today: Alain Connes and Joseph Kouneiher obit for the visionary mathematician Pierre Cartier (1932-2024). arxiv.org/pdf/2411.07409


Pierre-Alexandre Mattei Reposted

Incroyable archive : débat entre Yves Gingras et Bruno Latour sur la sociologie des sciences. Notre Bruno avait une dégaine d'enfer en...1983 ! youtube.com/watch?v=lnFo-Y…


Pierre-Alexandre Mattei Reposted

🔴[COMMUNIQUE] Pour la libération immédiate du chercheur français Victor Dupont détenu depuis le 19 octobre 2024 en Tunisie Lire le communiqué commun AFS, AFSP, ASES et OALA du 4 novembre 2024 : afsp.info/communique-pou… #LibertésAcadémiques

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Pierre-Alexandre Mattei Reposted

Name a better source for high-quality technical CS content than the @SimonsInstitute YouTube channel. I'll wait. Everyone in TCS already knows this. But for the ML folks, this year has a program on LLMs (simons.berkeley.edu/programs/speci…), see, e.g., this playlist youtube.com/playlist?list=…

If I may, the youtube channel of @SimonsInstitute is an excellent source. They have different themes each term, with a week-long bootcamp introducing the topic. All (excellently recorded) videos are online: youtube.com/simonsinstitute



Pierre-Alexandre Mattei Reposted

regarding the publisher MDPI: a tragedy put MDPI into the spotlight "Performance metrics for editorial staffers prioritize the quantity of published manuscripts over their quality [...] It incentivizes us to push towards publication instead of rejection" retractionwatch.com/2024/10/22/you…


Pierre-Alexandre Mattei Reposted

Que penser de ce qui, d'après les dernières rumeurs, s’annonce comme l'une des innovations principales du budget Barnier — l’impôt minimum de 20% pour les très riches ? 🧵 lesechos.fr/economie-franc…

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Pierre-Alexandre Mattei Reposted

NeurIPS in Paris is back for its 4th edition ! Subscriptions are open until the 5th of november 🌞

We are thrilled to say that NeurIPS@Paris is back for a 4th edition on the 4th and 5th of December 2024 at @Sorbonne_Univ_ A great occasion to meet + discuss recent advances in ML in central Paris! More info: neuripsinparis.github.io/neurips2024par… Registration: forms.gle/Fc4nbeW6ubahYb…

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Very nice new perspective on what parsimony means for PCA and the like.

📢Very proud to share our recent preprint "The curse of isotropy: from principal components to principal subspaces"! arxiv.org/abs/2307.15348



Pierre-Alexandre Mattei Reposted

🎊 It has arrived 🎊, the 2nd edition of my "Deep Generative Modeling" book. It has 100 new pages, 3 new chapters (incl. #LLMs) and new sections. It covers all deep generative models that constitute the core of all #GenerativeAI techs! Check it out: 💻tinyurl.com/mwj9dw83

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Pierre-Alexandre Mattei Reposted

Thanks Tim. Stay tuned. The book will be released by the end of the year.

The final draft of @BachFrancis's excellent new learning theory book is available: di.ens.fr/~fbach/ He doesn't cover VC dimension, but builds up from regression to general smooth losses, which is heresy of course, but actually fills a much-needed niche. Highly recommended!



Pierre-Alexandre Mattei Reposted

Our two-part foundational series of papers on stationary kernels and Gaussian processes on Lie groups and homogeneous spaces is accepted at JMLR! If you want to know the geometric roots of various phenomena in kernels and Fourier features - with pretty pictures - check it out!

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Pierre-Alexandre Mattei Reposted

In December CNRS & INRIA will open applications to tenured researchers positions (chargé de recherche) w. unique freedom conditions If interested you should start working on it NOW, and contact hosting teams asap Advice I've gathered in the last years: mathurinm.github.io/cnrs_inria_adv…


Pierre-Alexandre Mattei Reposted

I'm thrilled to announce that my #ERCStG project has been accepted 🤓 **MALAGA: Reinventing the Theory of Machine Learning on Large Graphs** Many job openings coming up, see nkeriven.github.io/malaga for updates! Thank you @ERC_Research and all my collaborators past and future


Pierre-Alexandre Mattei Reposted

I have the great pleasure to announce that I received a Starting Grant from @ERC_Research to work on Continual and Sequential Learning problems in Machine Learning. I want to thank my students and collaborators and @ml4science for their support. cvernade.com

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📣 The latest ERC Starting Grant competition results are out! 📣 494 bright minds awarded €780 million to fund research ideas at the frontiers of science. Find out who, where & why 👉 europa.eu/!hrxyBp 🇪🇺 #EUfunded #FrontierResearch #ERCStG @HorizonEU @EUScienceInnov



Pierre-Alexandre Mattei Reposted

Working on ML + Information Theory? Send us your latest papers!

📢Reminder to submit your cool results to our @NeurIPS2024 workshop on ML & Compression!! Deadline: Sept 30 (AoE). Submission link: openreview.net/group?id=NeurI… Fill out this form if you'd like to become a reviewer: forms.gle/UjHFrL4C3nc9ab…



Pierre-Alexandre Mattei Reposted

📢 Open Positions in Stats @ University of Copenhagen math.ku.dk/english/about/… Very liveable city, kind & helpful colleagues, excellent environment w/ vibrant community – can only recommend and happy to answer questions via email ;-) Spread the word and apply by OCT 6‼️


Pierre-Alexandre Mattei Reposted

funky: stream.math.snu.ac.kr/lecturenote/No… (link goes to .pdf) 'Infinitely-Large Neural Networks' - Ernest K. Ryu

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