Rémi Flamary
@rflamary.bsky.social
ML Professor at École Polytechnique. Python open source developer. Co-creator/maintainer of POT, SKADA. https://remi.flamary.com/
Reposted by Rémi Flamary
Kyle Kingsbury is not a journalist. He is not an op-ed writer.
He is a computer safety researcher.
And he has written one of the most compelling, comprehensive accounts of the ongoing hell in Chicago that you could possibly imagine.
In under 1600 words.
aphyr.com/posts/397-i-...
He is a computer safety researcher.
And he has written one of the most compelling, comprehensive accounts of the ongoing hell in Chicago that you could possibly imagine.
In under 1600 words.
aphyr.com/posts/397-i-...
November 9, 2025 at 8:49 PM
Kyle Kingsbury is not a journalist. He is not an op-ed writer.
He is a computer safety researcher.
And he has written one of the most compelling, comprehensive accounts of the ongoing hell in Chicago that you could possibly imagine.
In under 1600 words.
aphyr.com/posts/397-i-...
He is a computer safety researcher.
And he has written one of the most compelling, comprehensive accounts of the ongoing hell in Chicago that you could possibly imagine.
In under 1600 words.
aphyr.com/posts/397-i-...
Reposted by Rémi Flamary
This Nature retrospective is quite interesting.
To me, the only solution to the credit assignment problem is obvious: stop believing a single person is responsible for every big discovery. It's an artifact of our monkey brain requiring a face for storage, not the reality of how knowledge progresses.
To me, the only solution to the credit assignment problem is obvious: stop believing a single person is responsible for every big discovery. It's an artifact of our monkey brain requiring a face for storage, not the reality of how knowledge progresses.
"stole Rosalind Franklin's work" has become the new orthodoxy. While she was certainly the victim of sexism from Watson, I think her colleague Wilkins was the real villain. Events 1951-53 well covered in Nature in 2023 www.nature.com/articles/d41...
What Rosalind Franklin truly contributed to the discovery of DNA’s structure
Franklin was no victim in how the DNA double helix was solved. An overlooked letter and an unpublished news article, both written in 1953, reveal that she was an equal player.
www.nature.com
November 8, 2025 at 8:22 AM
This Nature retrospective is quite interesting.
To me, the only solution to the credit assignment problem is obvious: stop believing a single person is responsible for every big discovery. It's an artifact of our monkey brain requiring a face for storage, not the reality of how knowledge progresses.
To me, the only solution to the credit assignment problem is obvious: stop believing a single person is responsible for every big discovery. It's an artifact of our monkey brain requiring a face for storage, not the reality of how knowledge progresses.
Yesterday @tgnassou.bsky.social successfully defended his PhD thesis on domain adaptation of signals and in particular EEG. Huge congrats to him for all his work and his wonderful slides. It was a pleasure to be his advisor with @agramfort.bsky.social and I can't wait to see what he will do next!
November 7, 2025 at 11:10 AM
Yesterday @tgnassou.bsky.social successfully defended his PhD thesis on domain adaptation of signals and in particular EEG. Huge congrats to him for all his work and his wonderful slides. It was a pleasure to be his advisor with @agramfort.bsky.social and I can't wait to see what he will do next!
Reposted by Rémi Flamary
September 24, 2025 at 4:24 PM
Reposted by Rémi Flamary
What if we did a single run and declared victory
October 23, 2025 at 2:28 AM
What if we did a single run and declared victory
Reposted by Rémi Flamary
Competitor enters a major AI competition (RNA folding)
GPU poor so can't train an AI
Builds a "classic" eng pipeline instead. (90s tech)
Wins and beat everyone using DL 💀
Their winning "hybrid" model had an AI in it. Their original one did not and had a higher score
So they won despite the AI 😂
GPU poor so can't train an AI
Builds a "classic" eng pipeline instead. (90s tech)
Wins and beat everyone using DL 💀
Their winning "hybrid" model had an AI in it. Their original one did not and had a higher score
So they won despite the AI 😂
While many teams relied on deep learning, the winning team (jaejohn) surprised everyone with a highly optimized pipeline that revived classic template-based modeling. 👇
www.kaggle.com/competitions...
www.kaggle.com/competitions...
1st Place Solution | Kaggle
Hybrid TBM + DRfold2 Approach
www.kaggle.com
October 17, 2025 at 11:19 PM
Competitor enters a major AI competition (RNA folding)
GPU poor so can't train an AI
Builds a "classic" eng pipeline instead. (90s tech)
Wins and beat everyone using DL 💀
Their winning "hybrid" model had an AI in it. Their original one did not and had a higher score
So they won despite the AI 😂
GPU poor so can't train an AI
Builds a "classic" eng pipeline instead. (90s tech)
Wins and beat everyone using DL 💀
Their winning "hybrid" model had an AI in it. Their original one did not and had a higher score
So they won despite the AI 😂
Probably the best paper title of my career. To read with the Indiana jones soundtrack. And yes we solved and differentiated quite well 80 millions (small) Fused Gromov Wasserstein problems per epoch using a neural network on GPU.
Our latest paper “The Quest for the GRAph Level autoEncoder (GRALE)” was accepted at NeurIPS 2025!
arxiv.org/abs/2505.22109
🏆 GRALE 🏆 can encode and decode graphs into and from a shared Euclidean space.
Training such a model should require solving the graph matching problem but...
arxiv.org/abs/2505.22109
🏆 GRALE 🏆 can encode and decode graphs into and from a shared Euclidean space.
Training such a model should require solving the graph matching problem but...
The quest for the GRAph Level autoEncoder (GRALE)
Although graph-based learning has attracted a lot of attention, graph representation learning is still a challenging task whose resolution may impact key application fields such as chemistry or biolog...
arxiv.org
October 16, 2025 at 3:17 PM
Probably the best paper title of my career. To read with the Indiana jones soundtrack. And yes we solved and differentiated quite well 80 millions (small) Fused Gromov Wasserstein problems per epoch using a neural network on GPU.
Reposted by Rémi Flamary
Our latest paper “The Quest for the GRAph Level autoEncoder (GRALE)” was accepted at NeurIPS 2025!
arxiv.org/abs/2505.22109
🏆 GRALE 🏆 can encode and decode graphs into and from a shared Euclidean space.
Training such a model should require solving the graph matching problem but...
arxiv.org/abs/2505.22109
🏆 GRALE 🏆 can encode and decode graphs into and from a shared Euclidean space.
Training such a model should require solving the graph matching problem but...
The quest for the GRAph Level autoEncoder (GRALE)
Although graph-based learning has attracted a lot of attention, graph representation learning is still a challenging task whose resolution may impact key application fields such as chemistry or biolog...
arxiv.org
October 16, 2025 at 1:11 PM
Our latest paper “The Quest for the GRAph Level autoEncoder (GRALE)” was accepted at NeurIPS 2025!
arxiv.org/abs/2505.22109
🏆 GRALE 🏆 can encode and decode graphs into and from a shared Euclidean space.
Training such a model should require solving the graph matching problem but...
arxiv.org/abs/2505.22109
🏆 GRALE 🏆 can encode and decode graphs into and from a shared Euclidean space.
Training such a model should require solving the graph matching problem but...
Reposted by Rémi Flamary
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-...
gael-varoquaux.info/personnal/a-...
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;...
gael-varoquaux.info
October 10, 2025 at 11:37 AM
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-...
gael-varoquaux.info/personnal/a-...
Reposted by Rémi Flamary
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...
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...
October 3, 2025 at 10:01 AM
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...
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...
Figure 1. Happy ML researcher and open source developer presenting his toolbox SKADA at PyData Paris. Congrats @tgnassou.bsky.social the presentation was awesome!
September 30, 2025 at 3:28 PM
Figure 1. Happy ML researcher and open source developer presenting his toolbox SKADA at PyData Paris. Congrats @tgnassou.bsky.social the presentation was awesome!
Reposted by Rémi Flamary
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)
Huge thanks to my co-authors @rflamary.bsky.social and Bertrand Thirion !
arxiv.org/abs/2506.12025
(1/5)
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...
arxiv.org
September 29, 2025 at 8:55 AM
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)
Huge thanks to my co-authors @rflamary.bsky.social and Bertrand Thirion !
arxiv.org/abs/2506.12025
(1/5)
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).
September 23, 2025 at 7:23 PM
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
"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
September 23, 2025 at 6:29 PM
I missed it last month! Very happy to present POT next week at PyData Paris.
Reposted by Rémi Flamary
📢 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
"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
July 29, 2025 at 7:00 AM
📢 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
"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
"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
September 19, 2025 at 1:17 PM
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.
Reposted by Rémi Flamary
📢 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
"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
September 19, 2025 at 7:01 AM
📢 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
"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
Reposted by Rémi Flamary
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 !
September 11, 2025 at 3:29 PM
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 !
Reposted by Rémi Flamary
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.
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.
September 8, 2025 at 6:39 AM
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.
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.
Reposted by Rémi Flamary
To: Reviewer 2
My name is Inigo Montoya
You killed my paper
Prepare to die
My name is Inigo Montoya
You killed my paper
Prepare to die
September 4, 2025 at 7:22 AM
To: Reviewer 2
My name is Inigo Montoya
You killed my paper
Prepare to die
My name is Inigo Montoya
You killed my paper
Prepare to die
Reposted by Rémi Flamary
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?”.
August 29, 2025 at 11:06 AM
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?”.
Reposted by Rémi Flamary
I wrote about the tragic death of Adam Raine and the venal negligence of "AI Safety." www.argmin.net/p/the-banal-...
The Banal Evil of AI Safety
Chatbot companies are harmful and dishonest. How can we hold them accountable?
www.argmin.net
August 28, 2025 at 2:30 PM
I wrote about the tragic death of Adam Raine and the venal negligence of "AI Safety." www.argmin.net/p/the-banal-...
Reposted by Rémi Flamary
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.
August 28, 2025 at 7:19 PM
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.
Reposted by Rémi Flamary
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.
The publisher orders a pint, sells it back to the university, asks the barman to pay the bill.
August 26, 2025 at 2:19 AM
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.
The publisher orders a pint, sells it back to the university, asks the barman to pay the bill.
Reposted by Rémi Flamary
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...
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.
newsletter.ofthebrave.org
August 18, 2025 at 3:45 PM
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...