Food for thought: Si je prend une estimation grossière du prix du résultat sur NS, disons 10M$ (comme j'ai pu voir, sans compter l'entrainement) ça fait grosso modo 200 ans équivalent - chercheur CNRS, mobilisés en quelques jours sur un sujet précis.

La deadline approche, n'hésitez pas à proposer une contribution !

Yann Traonmilin@ytraonmilin.bsky.social · 4mo ago

L'appel à contribution du workshop sur les maths de l'IA (4-6 nov. 2026) à Bordeaux est ouvert ! Il suffit de suivre les instructions sur : wmathsia2026.sciencesconf.org?lang=fr avec le soutien de l'Institut de mathématiques de Bordeaux, du PEPR PDE-AI, du RT MAIAGES , et du groupe SMAI-MODE.

Accepted to SIAM Journal on Imaging Sciences. Congrats Ali ! Next step: PhD defense !

L'appel à contribution du workshop sur les maths de l'IA (4-6 nov. 2026) à Bordeaux est ouvert ! Il suffit de suivre les instructions sur : wmathsia2026.sciencesconf.org?lang=fr avec le soutien de l'Institut de mathématiques de Bordeaux, du PEPR PDE-AI, du RT MAIAGES , et du groupe SMAI-MODE.

Make sure to go check our work (Oscar will be presenting it) if you are going to AISTATS ! virtual.aistats.org/virtual/2026...

Yann Traonmilin@ytraonmilin.bsky.social · 8mo ago

Our work with O. Leong "A Recovery Theory for Diffusion Priors: Deterministic Analysis of the Implicit Prior Algorithm" has been accepted to AISTATS2026. arxiv.org/abs/2509.20511 In this work,... ↓

Was wondering why we call sampling theorem "Shannon-Nyquist" theorem as it is a quite direct application of the Poisson formula, learned that the formula is from Cauchy who himself aknowledges Euler culturemath.ens.fr/thematiques/... 😅

Le théorème d’échantillonnage. . . de Shannon?

Le théorème d'échantillonnage, souvent appelé théorème de Shannon, constitue une des bases du domaine du traitement de l'information. Mais Shannon lui-même ne s'en attribue pas le mérite et effectivem...

culturemath.ens.fr

We got best paper award at CPAL. I am sure Ali will do a great job at presenting this work. There are some quite interesting insights in this work.

Yann Traonmilin@ytraonmilin.bsky.social · 8mo ago

Good week ! Our paper with A. Joundi and J.-F. Aujol "From sparse recovery to plug-and-play priors, understanding trade-offs for stable recovery with generalized projected gradient descent" hal.science/hal-05401157v1 has been accepted to conference on Parsimony and Learning ↓

We uploaded "A note on the convergence of RED algorithms under minimal hypotheses and open questions" hal.science/hal-05528679 . There is a little result in relation to my latest works with deep projective priors that brings some questions. I found myself talking about this with

We are recruiting four positions connected to Machine Learning, Statistical Learning, and AI for Science in the Applied Mathematics department at École polytechnique. Join our vibrant community at IP Paris and Hi! Paris IA center. List below🧵 tinyurl.com/3jpw9t26

There is an Associate Professor position in CS at ENS Lyon, with potential integration in my team, starting in sept 2026: DM me in interested! Details at www.ens-lyon.fr/LIP/images/P...

Good week ! Our paper with A. Joundi and J.-F. Aujol "From sparse recovery to plug-and-play priors, understanding trade-offs for stable recovery with generalized projected gradient descent" hal.science/hal-05401157v1 has been accepted to conference on Parsimony and Learning ↓

Our work with O. Leong "A Recovery Theory for Diffusion Priors: Deterministic Analysis of the Implicit Prior Algorithm" has been accepted to AISTATS2026. arxiv.org/abs/2509.20511 In this work,... ↓

A Recovery Theory for Diffusion Priors: Deterministic Analysis of the Implicit Prior Algorithm

Recovering high-dimensional signals from corrupted measurements is a central challenge in inverse problems. Recent advances in generative diffusion models have shown remarkable empirical success in pr...

arxiv.org

Save the date : on organise un workshop sur les maths de l'IA à Bordeaux les 4-6 novembre. N'hésitez pas ! plus on est de fous plus on rit ! (dans les limites des capacités d'accueil haha) Dates & infos : wmathsia2026.sciencesconf.org

Les inscriptions aux journées MODE 2026 à Nice sont désormais ouvertes. Elles se dérouleront du 18 au 20 mars à l'Hôtel Saint-Paul. Les inscriptions sont ouvertes jusqu'au 1 mars (majoration > 9/02). La deadline pour soumettre une communication est le **15 janvier**.

I have several offers for Master internships / PhDs on graph ML funded by ERC MALAGA for 2026. Don't hesitate to contact me to apply! All infos here: nkeriven.github.io/malaga/

MALAGA: Reinventing the Theory of Machine Learning on Large Graphs (ERC StG)

nkeriven.github.io

Fun friday night problem: consider a random variable X with distribution p and a random variable Y such that X+Y has distribution p, what can you say about the distribution of Y ? Interested, if anyone has a reference to a complete solution to this.

Math in elementary school, definitions: aligned points: points lying on a line line: an infinity of aligned points points alignés : points appartenant à la même droite droite: infinité de points alignés 🤔 I'm still stuck in a loop 🤣 What would be a good definition of line for 7 y.o. ?

Les journées SMAI-MODE 2026 auront lieu à Nice du 18 au 20 mars 2026, précédées par un mini-cours les 16/17. Vous pouvez déposer votre proposition de contrib sur mode2026.sciencesconf.org Inscription à partir du 1er décembre pour finir le 1 mars (avec un tarif majoré à compter du 1 février).

Preprint: improved deterministic error bounds for post-training quantization for CNN architectures. "On the impact of the parametrization of deep convolutional neural networks on post-training quantization", Samy Houache, J.-F. Aujol, Y.T. hal.science/hal-04922698/ ↓

"But more importantly, we don’t care if you can find a global minimum of the training error. We care if you can find a global minimum of the test error." I agree but to be fair to optimization folks, this is generally done by setting up a loss that should guarantee low test error. ↓

Ben Recht@beenwrekt.bsky.social · 11mo ago

Optimization theory has a few important lessons for machine learning, but the list of actionable lessons is surprisingly short.

I have 2 open PhD positions on Mathematical Foundations for Explainable AI: Position 1: werkenbij.uva.nl/en/vacancies... (apply by October 13, 2025) Position 2: applications via the Ellis PhD Program: ellis.eu/news/ellis-p... by Oct. 31. Both positions are equivalent (except for starting dates)

Vacancy — PhD Position on Mathematical Foundations for Explainable AI

Are you highly motivated to do PhD research in mathematical machine learning, with special emphasis on mathematical foundations for explainable AI? If yes, the Korteweg-de Vries Institute for Mathemat...

werkenbij.uva.nl

I wrote what are likely some very outdated thoughts on approximation theory. All of this was known in 1990. Which new perspectives am I missing?

Universal Cascades

A little approximation theory goes a long way

argmin.net

worksinprogress.co/issue/why-sc...

Why science needs outsiders - Works in Progress Magazine

Science has forgotten that the greatest breakthroughs often come from outsiders who are able to take a fresh perspective.

worksinprogress.co

#CNRSnews 🗞️ The CNRS mathematician and computer scientist Stéphane Mallat receives the CNRS 2025 Gold Medal for his achievements in applied maths and signal processing, including the JPEG 2000 image compression standard and mathematical foundations of AI.

Stéphane Mallat, a pioneer bridging mathematics and computer science

news.cnrs.fr

Trying now to find out which LLM is the most "bourbakist"

Tommorrow Emile Pierret will present our paper "Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors". #ICML2025 Tue 15 Jul 11 a.m. West Exhibition Hall B2-B3 #W-1015. More details here: pierret.perso.math.cnrs.fr/publication/...

Congrats Dr Antoine Guennec who defended is PhD thesis yesterday on "Sparse models and deep priors for image decomposition into structure and texture". He gave very nice contributions with modern methods on a challenging ill-posed problem. antoineguennec.perso.math.cnrs.fr

The NeurIPS paper checklist corroborates the bureaucratic theory of statistics.

Standard error of what now?

The NeurIPS checklist corroborates the bureaucratic theory of statistics.

argmin.net

Nice two weeks coming: next week "Mathematic of AI workshop" at Institut de mathématiques de Bordeaux In two weeks, presentation on optimal low-dimensional recovery at SMAI 2025 conference smai2025.math.cnrs.fr/fr/ (synchronized with a recent much needed update to hal.science/hal-04725337 😇)