Pierre-Alexandre Mattei
@pamattei
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Research scientist @inria, member of the @inriaMaasai team, statistical machine learning. Also on 🦋
Nice, France
Joined June 2015
RT @latouche_pierre: This morning, we had the traditional poster session for our course "Introduction to Probabilistic Graphical Models an…
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RT @fedebergamin: Heading to Vancouver for NeurIPS to present our paper “On Conditional Diffusion Models for PDE Simulation”. I'll be toget…
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RT @MaximeSermesant: SAVE THE DATE: 17-18 Mars 2025, Nice - Intelligence Artificielle en Imagerie Biomédicale (IABM 2025) Plus qu’une sema…
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RT @davidbessis: Elon Musk: I'm more confident and assertive than a BBC journalist, hence there is no rise in hate speech on X. My timeline…
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Alright, I’m trying this out, starting with a mix of Markov processes and chicken recipes. 🦋
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RT @AlexKontorovich: On arxiv today: Alain Connes and Joseph Kouneiher obit for the visionary mathematician Pierre Cartier (1932-2024). htt…
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RT @picharbonnier: Incroyable archive : débat entre Yves Gingras et Bruno Latour sur la sociologie des sciences. Notre Bruno avait une dég…
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RT @afspinfos: 🔴[COMMUNIQUE] Pour la libération immédiate du chercheur français Victor Dupont détenu depuis le 19 octobre 2024 en Tunisie…
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RT @thegautamkamath: Name a better source for high-quality technical CS content than the @SimonsInstitute YouTube channel. I'll wait. Ever…
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RT @uPicchini: regarding the publisher MDPI: a tragedy put MDPI into the spotlight "Performance metrics for editorial staffers prioritize t…
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@mathusmassias It does work when the data are discrete, then pi_hat has a density wrt to the counting measure and everything is well defined I’d say.
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RT @gabriel_zucman: Que penser de ce qui, d'après les dernières rumeurs, s’annonce comme l'une des innovations principales du budget Barnie…
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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"!
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RT @jmtomczak: 🎊 It has arrived 🎊, the 2nd edition of my "Deep Generative Modeling" book. It has 100 new pages, 3 new chapters (incl. #LLMs…
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