Rémi Emonet
@remiemonet.bsky.social
55 followers 20 following 39 posts
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Reposted by Rémi Emonet
sophie-xhonneux.bsky.social
📣 Call for Blog Posts at #ICLR2026 @iclr_conf

Following the success of the past iterations, we are opening the Call for Blog Posts 2026!

iclr-blogposts.github.io/2026/about/#...

Please retweet!
abs-0.twimg.com
Reposted by Rémi Emonet
samuelvaiter.com
Now accepted at #NeurIPS2025 :)
samuelvaiter.com
📣 New preprint 📣

**Differentiable Generalized Sliced Wasserstein Plans**

w/
L. Chapel
@rtavenar.bsky.social

We propose a Generalized Sliced Wasserstein method that provides an approximated transport plan and which admits a differentiable approximation.

arxiv.org/abs/2505.22049 1/5
Reposted by Rémi Emonet
mathurinmassias.bsky.social
Our work on the generalization of Flow Matching got an oral at Neurips !

Go see @quentinbertrand.bsky.social present it there :)
mathurinmassias.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 👇👇👇
remiemonet.bsky.social
It is more a full replacement of LaTeX than an integration (but it seems there is some kind of integration possible: you can use latex math syntax in typst if needed).
remiemonet.bsky.social
I find LaTeX is cumbersome (although Turing complete?) and slow, especially with the well known online service, while typst is redesigned from scratch and can run even fully in web browser, no install, no server, if needed. I was afraid I would miss the equation syntax but I'm not sure I will.
remiemonet.bsky.social
I wrote equations with @typst.app ... after (progressively) dropping latex for most things, I might also start (progressively) dropping the latex syntax for math equations!
Reposted by Rémi Emonet
dlarlus.bsky.social
Solenne Gaucher on 'statistical fairness' at #PAISS2025
remiemonet.bsky.social
Analyzing last year's UTMB split times (in french) home.heeere.com/teach/analyz...
Reposted by Rémi Emonet
mlcv-at-ista.bsky.social
Let's push for the obvious solution: Dear @neuripsconf.bsky.social ! Allow authors to present accepted papers at EurIPS instead of NeurIPS rather than just additionally. Likely, at least 500 papers would move to Copenhagen, problem solved.
remiemonet.bsky.social
Maybe there should also be an equivalent EurIPS workshop www.eurips.cc for people who cannot or don't want to travel there?
Reposted by Rémi Emonet
rflamary.bsky.social
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...
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods...
Unsupervised Domain Adaptation (DA) consists of adapting a model trained on a labeled source domain to perform well on an unlabeled target domain with some data distribution shift. While many...
openreview.net
Reposted by Rémi Emonet
mathurinmassias.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 👇👇👇
Reposted by Rémi Emonet
chriswolfvision.bsky.social
The second Keynote of CVPR@Paris is given by @dlarlus.bsky.social of @naverlabseurope.bsky.social on "Breaking the mold", generalization in computer vision.
Reposted by Rémi Emonet
camillestineau.bsky.social
🔴 [TUTO] : Comment économiser légalement PLUSIEURS CENTAINES D'EUROS sur son loyer chaque mois à Paris.

Il suffit de faire respecter ✨l'encadrement des loyers✨ à son propriétaire.

Petit tuto en thread pour vous montrer comment faire. Pour l'exemple on va prendre cet appart.
Reposted by Rémi Emonet
mathurinmassias.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
Reposted by Rémi Emonet
drscotthawley.bsky.social
Wow, this tutorial is really a tour de force! The one I had written is super "dumbed down" as a basic intro for beginners, but to really learn the material on an intermediate/advanced level, you should check out this post...
mathurinmassias.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
Reposted by Rémi Emonet
rflamary.bsky.social
We have been reworking the Quickstart guide of POT to show multiple examples of OT with the unified API that facilitates access to OT value/plan/potentials. It allows to select regularization/unbalancedness/lowrank/Gaussian OT with just a few parameters. pythonot.github.io/master/auto_...
Reposted by Rémi Emonet
catsuka.bsky.social
"Flow" won the Oscar for Best Animated Film ♡
remiemonet.bsky.social
Combining with latexocr (pip install pix2tex) gives something not bad at all.
remiemonet.bsky.social
Nice! Convert your latex (mostly equations) to @typst.app with MiTeX, two choices:
- directly write latex in your typst typst.app/universe/pac...
- migrate your equations (in your browser) mitex-rs.github.io/mitex/