Post-doc opportunity at EDF R&D on Time Series Foundation Models. It’s a great project and I’ll be closely involved in the collaboration! Details for application at: www.linkedin.com/posts/etienn...

This semester I have been given the chance to teach a course on "Deep Learning for Time Series" at @ipparis.bsky.social If you're interested in the topics, have a look at rtavenar.github.io/x-dl4ts/ Repo has Typst code for the slides and Python code for the labs. Feedback is very much welcome.

This year I'm teaching a new course on generative models for visual content (images, video, 3D, etc). It's mostly me rambling about recent papers, design choices I like/hate. The slides of the first lectures are here: davidpicard.github.io/teaching/ Use right arrow to navigate past the blank page.

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 ❤️

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

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.

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 (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

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 !

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!

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

Now accepted at #NeurIPS2025 :)

I am happy to share that our paper "Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs" was accepted at Neurips 2025 ! 🥳 Huge thanks to my co-authors @rflamary.bsky.social and Bertrand Thirion ! arxiv.org/abs/2506.12025 (1/5)

Vous pouvez soutenir ma proposition à la Cour des Comptes d'examiner les marchés publics de voyagistes, notamment dans l'ESR : participationcitoyenne.ccomptes.fr/processes/co...

I missed it last month! Very happy to present POT next week at PyData Paris.

I'm thrilled to announce that my #ERCStG project **Optinfinite : Efficient infinite-dimensional optimization over measures** has been accepted. Thank you @erc.europa.eu ! Many thanks also to @crestumr.bsky.social @ipparis.bsky.social for they support, as well as to my collaborators and friends.

Thanks @ellis.eu !

Maybe there should also be an equivalent EurIPS workshop www.eurips.cc for people who cannot or don't want to travel there?

Eloi Tanguy, Laetitia Chapel, Julie Delon: Sliced Optimal Transport Plans https://arxiv.org/abs/2508.01243 https://arxiv.org/pdf/2508.01243 https://arxiv.org/html/2508.01243

SKADA-Bench : Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities, has been published published in TMLR today 🚀. It was a huge team effort to design (and publish) an open source fully reproducible DA benchmark 🧵1/n. openreview.net/forum?id=k9F...

I love the #eurips initiative! But to live up to its potential, it should be accepted an official #neurips conference location (similar to Mexico City) and not just an addon! Then we would save C02, rather than adding to it!!! What can we do to achieve this?

This is awful! We need to treat our scientists better if we want to do good science. This means consistent funding for tenure that allows time for risky but novel discoveries and not only short-time projects and infinite post-docs. www.science.org/content/arti...

🚀 We are happy to organize the BERT²S workshop @neuripsconf.bsky.social 2025 on Recent Advances in Time Series Foundation Models. 🌐 berts-workshop.github.io 📜Submit by August 22 🎓Speakers and panelists: Chenghao Liu, Mingsheng Long, Zoe Piran, Danielle C. Maddix, Ameet Talwalkar, Qingsong Wen

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/...

Interested in time series forecasting or data uncertainty quantification? Check out our latest paper with Adrien Cortés at @icmlconf ! Paper: arxiv.org/abs/2506.05515 Code: github.com/Victorletzel... Poster #2211 , Tue 15 Jul 11 a.m. PDT East #timeseries #quantization #uncertainty #icml2025

Emile Pierret, Bruno Galerne: Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions https://arxiv.org/abs/2507.07008 https://arxiv.org/pdf/2507.07008 https://arxiv.org/html/2507.07008

🔒 We’re hiring a postdoc at Inria SUSHI (Rennes, FR)! Work on formal verification of security across compilers, OS & hardware (e.g., RISC-V, CompCert). 📍 Rennes 🇫🇷 | 💶 ~€3K–3.2K/mo | 🛠️ Formal methods + security 📧 [email protected] team.inria.fr/sushi/files/... #Hiring #FormalMethods #RISC-V

Very honored to have given the keynote at the CAP 2025 conference in Dijon this morning. I talked about Domain adaptation, DA benchmark and applications of DA to sleep stating. Mostly work from the PhD of @tgnassou.bsky.social For those interested here are the slides remi.flamary.com/pres/OTDA_Ke...

@rflamary.bsky.social 's keynote at CAp'25 was a blast! A short summary in the linked post below...