Big lack of qualified reviewers? The cost of generation seems headed to 0 relative to the cost of verification; seems obvious that we must change norms so verification is seen as more of a contribution? What if we require authors to review for some number of conferences before being able to submit?
Quentin Bertrand
@quentinbertrand.bsky.social
Machine Learning Researcher at Inria
Let's give proper credit to the @sli.dev GOAT: @remiemonet.bsky.social
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
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
I'm sadly not at ICML, but @arrijitghosh.bsky.social and @lucasdegeorge.bsky.social are presenting MIRO right now! Happening right now at poster board 2508!
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 👇👇👇
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 👇👇👇
What an amazing week with insightful discussions and interactions! @franceausenegal.bsky.social
I had a blast giving a summer school on generative models at AI Hub Senegal, in particular flow matching, with @quentinbertrand.bsky.social and @remiemonet.bsky.social Our material is publicly available !!! github.com/QB3/SenHubIA... ensdelyon.bsky.social
Recently merged in scikit-learn's main branch: display the maximum predicted class probability in 2D continuous feature spaces (mostly for didactic purposes): scikit-learn.org/dev/auto_exa... The linked example has been updated to include some conclusions we can draw from this plot.
Visit the playground at the end of our blog post (with co-authors @annegnx.bsky.social, Ségolène Martin, @mathurinmassias.bsky.social, @quentinbertrand.bsky.social) dl.heeere.com/cfm#cfm-play...
👩🎓👨🎓 Internship offers (1st step to PhD program) in my group: team.inria.fr/soda/job-off... Topics: ◼ Health AI & causality, accounting for censoring (for people who love health impact) ◼ Foundation models for tabular learning (for people into bigger models) Come work with us!
This blog post provides intuition and nice illustrations to understand normalizing flows and flow matching techniques! w. @annegnx.bsky.social, Ségolène Martin, @mathurinmassias.bsky.social, and @remiemonet.bsky.social (the king for figures)
Anne Gagneux (@annegnx.bsky.social)
annegnx.bsky.social
Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition! We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
Nice blogpost and very cool illustrations 😍. I will die on the hill that most of the FM ideas where introduced back in 2021 by Stefano Peluchetti in his underappreciated paper openreview.net/forum?id=oVf...
Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition! We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423