Romain Tavenard

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 ❤️

Source Wikipedia. Vue de Peyresq, localité des Alpes-de-Haute-Provence, village pittoresque perché à 1 526 m d'altitude sur un éperon rocheux que surplombe la vallée de la Vaïre

Formez-vous en "Modèles génératifs et transport optimal" à 1500 mètres d'altitude : encore 10 jours, clôture le 27 février 2026 des inscriptions pour l'école d'été #Peyresq2026 (21 au 27 juin 2026) #GdR
gretsi.fr/peyresq2026
#GRETSI #gdrIASIS

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...

Open position: Monge Assistant Professor (Tenure track) on graph learning and/or LLMs, in the applied math dpt. at École polytechnique. Reduced teaching load, many funding opportunities, good students and academic freedom. Contact me if interested. Deadline March 23rd tinyurl.com/MongeAssista...

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

🏹 Job alert: 3 PhD positions in AI, Earth Observation, and Science-Policy interface

📍 Vannes 🇫🇷 & Ispra 🇮🇹
📅 Apply by Jan 15th
🔗 https://www-obelix.irisa.fr/job-offers/

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

Ami-es du #GRETSI, qq chiffres pour "GRETSI Info" : progressions (LinkedIn, chaîne YouTube), relative déception en libre (Mastodon). Pour faire mieux : partagez ce QR code !
38 Bluesky
17 Mastodon
29 X
71 Youtube
186 LinkedIn page
294 LinkedIn contacts
354 LinkedIn abonnements

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.

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

From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers. R. Kawata · Y. Song · A. Bietti · N. Nishikawa · T. Suzuki · SV · D. Wu. Wed, Dec 3, 2025 • 4:30 PM – 7:30 PM PST, #4001 (spotlight) Differentiable Generalized Sliced Wasserstein Plans. L. Chapel · R. Tavenard · SV. Fri, Dec 5, 2025 • 11:00 AM – 2:00 PM PST, #1000 Learning Theory for Kernel Bilevel Optimization. F. El Khoury · E. Pauwels · SV · M. Arbel. Fri, Dec 5, 2025 • 4:30 PM – 7:30 PM PST, #3005

I am at #NeurIPS2025, reach out if you want to chat!

Sonia and I will present this work this afternoon at the NeuripS@Paris poster session. Come see us if you are around.

Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs Optimal transport between graphs, based on Gromov-Wasserstein and other extensions, is a powerful tool for comparing and aligning graph structures. However, solving the associated non-convex optimizat...

I am happy to share that I will be at NeurIPS in San Diego to present our paper with @rflamary.bsky.social and Bertrand Thirion on optimal transport plan prediction between graphs.
If you are around come say hi!

Paper: arxiv.org/abs/2506.12025

Poster #3703 Friday 5 December 4:30 - 7:30 pm

🚗🌐 Working on domain adaptation for 3D point clouds / LiDAR?

We'll present MuDDoS at BMVC: a method that boosts multimodal distillation for 3D semantic segmentation under domain shift.

📍 BMVC
🕚 Monday, Poster Session 1: Multimodal Learning (11:00–12:30)
📌 Hadfield Hall #859

Simulation-Based Inference: A Practical Guide A central challenge in many areas of science and engineering is to identify model parameters that are consistent with prior knowledge and empirical data. Bayesian inference offers a principled framewo...

Simulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a practical guide to SBI.

📄 Paper: arxiv.org/abs/2508.12939

YouTube video by GRETSI Plénière de Julie Delon

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...

One of those internships is on Gromov $\delta$-hyperbolicity for GNNs, and will be cosupervised together with Nicolas, myself and Laetitia Chapel. Take a look and spread the words !

Awesome thesis, awesome defense, congrats @tgnassou.bsky.social !

Picture of Theo presenting the first slide of his defense in front of the jury

Yesterday @tgnassou.bsky.social successfully defended his PhD thesis on domain adaptation of signals and in particular EEG. Huge congrats to him for all his work and his wonderful slides. It was a pleasure to be his advisor with @agramfort.bsky.social and I can't wait to see what he will do next!

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

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/

🌀🌀🌀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

Want to work on generative models and Earth Observation? 🌍

I'm looking for:
🧑‍💻 an intern on generative models for change detection
🧑‍🔬 a PhD student on neurosymbolic generative models for geospatial data

Both starting beginning of 2026.

Details are below, feel free to email me!

I’m recruiting a postdoctoral researcher on a fully funded 2-year contract. The topic is developing and implementing new parallel graph algorithms, with applications to data-driven transportation and logistics.
Details and application procedure below ⬇️ Reach out if you have any questions!

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...

Probably the best paper title of my career. To read with the Indiana jones soundtrack. And yes we solved and differentiated quite well 80 millions (small) Fused Gromov Wasserstein problems per epoch using a neural network on GPU.

blogbinaire.larecherche.fr/2025/10/10/l...

Sur le blog binaire de La recherche
Julie Josse : L’intelligence artificielle et la fabrique du savoir clinique

Julie Josse a reçu le Prix Jeune Chercheur 2024 de l’Académie de Sciences.

Pétition "non à #ChatControl" à signer sur le site de l'assemblée nationale. petitions.assemblee-nationale.fr/initiatives/...

#Distinction 🏆| Charlotte Pelletier, lauréate d'une chaire #IUF, développe des méthodes d’intelligence artificielle appliquées aux séries temporelles d’images satellitaires.
➡️ www.ins2i.cnrs.fr/fr/cnrsinfo/...
🤝 @irisa-lab.bsky.social @cnrs-bretagneloire.bsky.social