Quentin Bertrand

@quentinbertrand.bsky.social

Machine Learning Researcher at Inria

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?

photo taken from https://x.com/mar_kar_/status/2074240160758444372

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

Bild

Our work on the generalization of Flow Matching got an oral at Neurips ! Go see @quentinbertrand.bsky.social present it there :)

Mathurin Massias@mathurinmassias.bsky.social · last yr.

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 👇👇👇

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

Mathurin Massias@mathurinmassias.bsky.social · 2y ago

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