Rémi Flamary

A national recognition; but science and open source are bitter victories I have recently been awarded France’s national order of merit, for my career, in science, in open source, and around AI. The speech that I gave carries messages important to me (French below;...

A speech about what drives me, how science and open source are bitter victories, unable to make improve the world if society does not embrace them for the better:
gael-varoquaux.info/personnal/a-...

So because you don't want large batches you solve the whole OT problem! Love it.

It's a great discussion because we all have different interpretation of what this means and what the consequences are.

Myself, I have absolutely no doubt that scaling works. If you have all the videos in the world and are able to train a model that can recall and merge any of them, then for sure...

This is why I love bsky! Totally agree with you. An important question of science is why and how is it working. This is what we should look at and promote as a community.

FOMO is our careers nowadays.

OK we should probably talk directly ;).

And yes I already checked the .h file it is very simple, so for POT we need a cython wrapper and a way to allows wheels compilation with eigen without exploding (when compiled from sources) but this would be very nice.

That was exactly my question to @nbonneel.bsky.social 10 se ago! I would erally like to have larger scale solvers even for low dims. I know that in some physics applications (OT on particles) scaling was a problem

Also I was wondering how well it works in higher dimensions (up to few hundreds) when you said you don't use the Gaussian slicing? Errors wrt true solver as a function of d and k would be very interesting

Hello, I'd be interested to have a Python/numpy wrapper of this awesome solver in POT. Would you be interested in helping out?

Figure 1. Happy ML researcher and open source developer presenting his toolbox SKADA at PyData Paris. Congrats @tgnassou.bsky.social the presentation was awesome!

Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs Optimal transport between graphs, based on Gromov-Wasserstein and other extensions, is a powerful tool for comparing and aligning graph structures. However, solving the associated non-convex optimizat...

I am happy to share that our paper "Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs" was accepted at Neurips 2025 ! 🥳

Huge thanks to my co-authors @rflamary.bsky.social and Bertrand Thirion !

arxiv.org/abs/2506.12025

(1/5)

The demon princes is very early Jack Vance. I really love his more recent books such as the Alastor trilogy that is basically in the same universe and is much more original.

We should apply Queueing Theory there. Pretty sure that there is a diverging amount of good paper in the queue.

At least 500 more that were rejected by neurips for no scientific reasons I guess.

Did not know that all authors that submit 3 ICLR of more must be reviewers with 6 (or more?) papers. Seems fair to review 2 papers per submission but after the full NeurIPS summer (and rejection) I would have appreciated a reduced load to do them better (I say that as an ICML 2025 top reviewer).

I missed it last month! Very happy to present POT next week at PyData Paris.

📢 Talk Announcement

"Optimal Transport in Python: A Practical Introduction with POT", by Rémi Flamary.

📜 Talk info: pretalx.com/pydata-paris-2025/talk/FNCKXU
📅 Schedule: pydata.org/paris2025/schedule
🎟 Tickets: pydata.org/paris2025/tickets

SKADA is a beautiful software for Domain Adaptation in python with many shallow and deep methods implemented, it is 100% compatible with @scikit-learn.org models and pipelines and with @pytorch.org for deep learning methods.

📢 Talk Announcement

"Tackling Domain Shift with SKADA: A Hands-On Guide to Domain Adaptation", by Théo Gnassounou and Antoine Collas.

📜 Talk info: pretalx.com/pydata-paris-2025/talk/MEPTCE
📅 Schedule: pydata.org/paris2025/schedule
🎟 Tickets: pydata.org/paris2025/tickets

A cosmological simulation, showing the cosmic web, with 300 million galaxy clusters. A nice test case for the new algorithm !

Our article "Large-scale semi-discrete optimal transport with distributed Voronoi diagrams" (with Nicolas Ray, Quentin Merigot and Hugo Leclerc) just got accepted by Journal of Computational Physics. Pushing the limits of Optimal Transport by several orders of magnitude !

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.

To: Reviewer 2

My name is Inigo Montoya
You killed my paper
Prepare to die

Bea Wolf was the perfect oddball book. We had tremendous fun reading it with my kid and it left its mark. She still finds people in real world and comics that look like some obscure character from the book that like a stupid adult I forgot about.

Thanks for raising this issue. As someone on the authors' and reviewers' side, this feels like a violation of the reviewing process. One might wonder, “Why do we put so much time and effort into the peer-review process if decisions are ultimately made arbitrarily?”.

The Banal Evil of AI Safety Chatbot companies are harmful and dishonest. How can we hold them accountable?

I wrote about the tragic death of Adam Raine and the venal negligence of "AI Safety." www.argmin.net/p/the-banal-...

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.

A university and an academic publisher walk into a bar.

The publisher orders a pint, sells it back to the university, asks the barman to pay the bill.

Si tu lui dis que tu veux faire ça avec du transport optimal il vas te dire de pas t'approcher des voies

I’m an award-winning mathematician. Trump just cut my funding. The “Mozart of Math” tried to stay out of politics. Then it came for his research.

I wrote an op-ed on the world-class STEM research ecosystem in the United States, and how this ecosystem is now under attack on multiple fronts by the current administration: newsletter.ofthebrave.org/p/im-an-awar...