Having fun with 2D Gaussian visualization : mathurinm.github.io/gaussian/
2D Gaussian Visualizer
mathurinm.github.io
Mathurin Massias
@mathurinmassias.bsky.social
Tenured Researcher @INRIA, Ockham team. Teacher @Polytechnique and @ENSdeLyon Machine Learning, Python and Optimization
Having fun with 2D Gaussian visualization : mathurinm.github.io/gaussian/
2D Gaussian Visualizer
mathurinm.github.io
I organize a 1 day workshop on Generative modelling @ENS Lyon, October 9th Call for oral/poster contributions is open; details at gdr-iasis.cnrs.fr/reunions/mod...
Modèles génératifs : diffusion, flow matching - GdR IASIS
Les demandes de prise en charge de missions par le GdR IASIS doivent parvenir à la gestionnaire du GdR avant le 25 septembre. Les modèles génératifs ont connu de récentes avancées spectaculaires, au p...
gdr-iasis.cnrs.fr
Automatic captioning during talks at ICML is a neverending source of joy for me : can't wait to go back home to start working on these new "ultra agressive models" and "discrete infusion"
We had a blast discussing memorization, generalization, and beyond for diffusion models at our @icml tutorial with @mathurinmassias.bsky.social ! Slides & material: memorization-generalization.github.io
Slides for our ICML tutorial on Memorization and Generalization of Diffusion and Flow Matching Models are now available ! 🌀 memorization-generalization.github.io @quentinbertrand.bsky.social
ICML 2026 Tutorial - Generalization and Memorization in Flow Matching and Diffusion
memorization-generalization.github.io
Heading to #ICML2026 🇰🇷 and interested in diffusion models, flow matching, and their generalization capabilities? Don't miss the excellent tutorial by @mathurinmassias.bsky.social and @quentinbertrand.bsky.social on Monday! 📍 Hall D1 🗓️ Monday, July 6 🕘 9:00–11:30 AM Details: icml.cc/virtual/2026...
My PhD thesis manuscript will be available in the coming months, but I’ve written two blog posts based on the related work chapter: 1. Generative modeling with flow-based models 🪚 2. Data-translation with flow and diffusion bridges 🔨 Open to feedback and discussions! lebellig.github.io/blog/
Georges is too humble to mention he brilliantly defended his PhD two weeks ago. 🎉 Check out his blog and look out for the manuscript, he has written the best recap on flow matching I have ever read. ⤵️
My PhD thesis manuscript will be available in the coming months, but I’ve written two blog posts based on the related work chapter: 1. Generative modeling with flow-based models 🪚 2. Data-translation with flow and diffusion bridges 🔨 Open to feedback and discussions! lebellig.github.io/blog/
Delighted to have successfully defended my PhD thesis on "Generative models for Earth Observation, from denoising to domain adaptation" 🪴 This wouldn’t have been possible without the support of my colleagues, my PhD advisor, and my family and friends. Thank you all!
Announcing the #ICML2026 tutorials! All ten tutorials will be presented the first day of the conference, Monday July 6. Read the blog post for more details on the selection process! blog.icml.cc/2026/04/02/a...
With @quentinbertrand.bsky.social we have one offer for a Marie Sklodowska-Curie postdoctoral fellowships at Inria, to work on generative models : www.inria.fr/en/marie-skl... contact me if interested! RT appreciated ❤️
Marie Skłodowska-Curie Actions Postdoctoral Fellowships: 2026 Inria Training Programme & Hosting Offers
Inria proposes a full-fledged training programme for Marie Skłodowska-Curie Actions Postdoctoral Fellowships (MSCA PF) candidates, as well as numerous project hosting offers. This will allow you, thro...
inria.fr
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
Calliopé
tinyurl.com
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...
ens-lyon.fr
Did you know that the skrub Data Ops support Optuna as backend to run hyperparameter search? It's as easy as writing "backend='optuna'": this will set up a default Optuna study (and the TPE sampler) to replace the standard random sampler.
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**.
L'école d'été #Peyresq2026 #GRETSI portera sur le thème "Modèles génératifs et transport optimal" du 21 au 27 juin 2026 gretsi.fr/peyresq2026 Inscription du 18 décembre 2025 au 27 février 2026
GRETSI : 20ème École d'Été en Traitement du Signal et des Images
gretsi.fr
Ecole d'été de Peyresq sur les modèles génératifs et le transport optimal : www.gretsi.fr/peyresq2026 (cours en français). Date limite de candidature le 27 février
GRETSI : 20ème École d'Été en Traitement du Signal et des Images
gretsi.fr
Openreview opened the door to continuous and major revisions that nobody has time to check properly. I think that we should come back to short one pdf page replies to reviews. It would mean having decisions quicker so that we actually have time to work on papers before resubmitting them.
[Concours CNRS] Si comme moi, vous attendiez et que vous n'aviez pas vu passer ça. Ouverture du concours : (a priori) aujourd'hui 8/12 Dépôt des candidatures : jusqu'au 7 janvier
#RejoignezLeCNRS 🫵 Les concours chercheurs CNRS 2026 ouvrent le 8/12 ! Envie de faire avancer la science au sein d’un des plus grands organismes de recherche ? 👉 carrieres.cnrs.fr/concours-... #ConcoursChercheurs #Science #Recherche #Icicarecrute #recrutement
Une raison de plus de vous abonner à la chaîne YouTube du colloque #GRETSI : "Transport optimal, de Monge à l’apprentissage profond", conférence plénière de Julie Delon au colloque #GRETSI2025 www.youtube.com/watch?v=ujYS...
Plénière de Julie Delon
YouTube video by GRETSI
youtube.com
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
The JMLR story and operating model should be widely known in academia as a clear success story for full open access. I have friends in the humanities and pure sciences that have no clue this is even possible
🌀🌀🌀New paper on the generation phases of Flow Matching arxiv.org/abs/2510.24830 Are FM & diffusion models nothing else than denoisers at every noise level? In theory yes, *if trained optimally*. But in practice, do all noise level equally matter? with @annegnx.bsky.social, S Martin & R Gribonval
Kickstarting our workshop on Flow matching and Diffusion with a talk by Eric Vanden Eijnden on how to optimize learning and sampling in Stochastic Interpolants! Broadcast available at gdr-iasis.cnrs.fr/reunions/mod...
My paper on Generalized Gradient Norm Clipping & Non-Euclidean (L0, L1)-Smoothness (together with collaborators from EPFL) was accepted as an oral at NeurIPS! We extend the theory for our Scion algorithm to include gradient clipping. Read about it here arxiv.org/abs/2506.01913
Our work on the generalization of Flow Matching got an oral at Neurips ! Go see @quentinbertrand.bsky.social present it there :)
New paper on the generalization of Flow Matching www.arxiv.org/abs/2506.03719 🤯 Why does flow matching generalize? Did you know that the flow matching target you're trying to learn *can only generate training points*? w @quentinbertrand.bsky.social @annegnx.bsky.social @remiemonet.bsky.social 👇👇👇
🔥 Excited to announce the Workshop on the Principles of Generative Models at @euripsconf.bsky.social (the European conference parallel to NeurIPS 2025) 🇩🇰 Dec 6–7, Copenhagen 📝 Deadline for contributions: Oct 17 🔗 Website: sites.google.com/view/prigm-e...
PriGM@EurIPS2025
Workshop summary Machine learning theory has long focused on classical supervised learning settings, where a model is trained on input–label pairs drawn from a well-defined data distribution, with the...
sites.google.com
One-day workshop on Diffusion models and Flow matching, October 24th at @ensdelyon.bsky.social Registration and call for contributions (short talk and poster) are open at gdr-iasis.cnrs.fr/reunions/mod...
Modèles génératifs : diffusion, flow matching et leurs applications - GdR IASIS
Les modèles génératifs ont connu de récentes avancées spectaculaires, au point que leurs dernières versions sont désormais capables de produire des images et du texte synthétiques presque indiscernabl...
gdr-iasis.cnrs.fr
Super elegant approach !
Distributional Reduction paper with H. Van Assel, @ncourty.bsky.social, T. Vayer , C. Vincent-Cuaz, and @pfrossard.bsky.social is accepted at TMLR. We show that both dimensionality reduction and clustering can be seen as minimizing an optimal transport loss 🧵1/5. openreview.net/forum?id=cll...
New paper on the generalization of Flow Matching www.arxiv.org/abs/2506.03719 🤯 Why does flow matching generalize? Did you know that the flow matching target you're trying to learn *can only generate training points*? w @quentinbertrand.bsky.social @annegnx.bsky.social @remiemonet.bsky.social 👇👇👇