#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

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.

🎉 Happy to share that our work "Flowing Datasets with Wasserstein over Wasserstein Gradient Flows" was accepted at #ICML2025 as an oral! This is a joint work with the amazing Christophe Vauthier and @akorba.bsky.social ! Link: openreview.net/forum?id=I1O...

If you're at #AISTATS2025, check out the presentation by Jonathan Geuter, in collaboration with Clément Bonet, @akorba.bsky.social and @dmelis.bsky.social. 'DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows' openreview.net/forum?id=rFf... #AI #statistics #ML

⚔️ One for all and all for one ⚔️ Efficient computation of PArtial Wasserstein distances on the Line (PAWL) is accepted to @iclr-conf.bsky.social Joint work with Laetitia Chapel: we introduce an 𝑂(𝑛 𝑙𝑜𝑔 𝑛) solver for partial Optimal Transport (OT) in 1D openreview.net/forum?id=kzE... 🧵 1/2

Slicing Unbalanced Optimal Transport Clément Bonet, Kimia Nadjahi, Thibault Sejourne, Kilian FATRAS, Nicolas Courty Action editor: Benjamin Guedj https://openreview.net/forum?id=AjJTg5M0r8 #transport #outliers #optimal

The slides of my NeurIPS lecture "From Diffusion Models to Schrödinger Bridges - Generative Modeling meets Optimal Transport" can be found here drive.google.com/file/d/1eLa3...

Today something crazy happened. POT has reached 1000 citations (total) 🤩🚀. Very proud to be part of a scientific community that acknowledges open source research software. Please continue to use, cite and contribute to POT ! Small🧵below for those interested pythonot.github.io

Live! Keynote talk by Arnaud Doucet From Diffusion Models to Schrödinger Bridges West Exhibition Hall C, B3 https://buff.ly/4ga9GD7

Glad to announce that our work "Mirror and Preconditioned Gradient Descent in Wasserstein Space" was accepted at #NeurIPS2024 as a spotlight! This is a joint work with the amazing T. Uscidda, A. David, P.C. Aubin-Frankowski and A. Korba! Link: arxiv.org/abs/2406.08938