Quentin Bertrand
quentinbertrand.bsky.social
Quentin Bertrand
@quentinbertrand.bsky.social
Machine Learning Researcher at Inria
Reposted by Quentin Bertrand
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
September 19, 2025 at 4:49 PM
Reposted by Quentin Bertrand
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 👇👇👇
September 19, 2025 at 4:02 PM
Reposted by Quentin Bertrand
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 👇👇👇
June 18, 2025 at 8:08 AM
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
April 14, 2025 at 7:54 AM
Reposted by Quentin Bertrand
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.
March 7, 2025 at 10:58 AM
Reposted by Quentin Bertrand
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...
December 4, 2024 at 4:16 PM
Reposted by Quentin Bertrand
👩‍🎓👨‍🎓 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!
November 27, 2024 at 1:44 PM
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)
November 27, 2024 at 8:09 PM
Very cool ref! Did not know about it!
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...
November 27, 2024 at 11:20 AM
Reposted by Quentin Bertrand
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...
November 27, 2024 at 11:08 AM
Reposted by Quentin Bertrand
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
November 27, 2024 at 9:00 AM