Gilles Louppe | Lightnews

Light up
your news

Create account Sign in

About Privacy Terms Help

Gilles Louppe

Gilles Louppe

@glouppe.bsky.social

3.7K followers 840 following 67 posts

AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io

Computer science 62%

Physics 22%

more

Posts Replies Media Videos

Pinned

Gilles Louppe @glouppe.bsky.social · Apr 29

<proud advisor>
Hot off the arXiv! 🦬 "Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation" 🌍 Appa is our novel 1.5B-parameter probabilistic weather model that unifies reanalysis, filtering, and forecasting in a single framework. A thread 🧵

Reposted by Gilles Louppe

Kyle Cranmer @kylecranmer.bsky.social · 19h

I am incredibly honored to have received the inaugural AI in Science Research Excellence Prize from the Margot and Tom Pritzker Foundation
dsi.wisc.edu/2025/11/10/d...

Gilles Louppe @glouppe.bsky.social · 1d

‪Once again an interdisciplinary research project gets poor, even condescending this time, evaluations because reviewers make little effort to understand the maths. Science is not only about killing rat models and to see if some random drug worked. Tired of this game.

Reposted by Gilles Louppe

Dorian McILROY @dmcilroy.bsky.social · 3d

"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 An overlooked letter and an unpublished news article, both written in 1953, reveal that she was an equal player.

Reposted by Gilles Louppe

Kyle Cranmer @kylecranmer.bsky.social · 13d

New paper, with @rkhashmani.me @marielpettee.bsky.social @garrettmerz.bsky.social Hellen Qu. We introduce a framework for generating realistic, highly multimodal datasets with explicitly calculable mutual information. This is helpful for studying self-supervised learning
arxiv.org/abs/2510.21686

Reposted by Gilles Louppe

lebellig @lebellig.bsky.social · 14d

"The Principles of Diffusion Models" by Chieh-Hsin Lai, Yang Song, Dongjun Kim, Yuki Mitsufuji, Stefano Ermon. arxiv.org/abs/2510.21890
It might not be the easiest intro to diffusion models, but this monograph is an amazing deep dive into the math behind them and all the nuances

The Principles of Diffusion Models

This monograph presents the core principles that have guided the development of diffusion models, tracing their origins and showing how diverse formulations arise from shared mathematical ideas. Diffu...

Gilles Louppe @glouppe.bsky.social · 14d

It is only useful when the training data is noisy or incomplete. See eg. arxiv.org/abs/2405.13712 where train diffusion models from sparse images only.

Learning Diffusion Priors from Observations by Expectation Maximization

Diffusion models recently proved to be remarkable priors for Bayesian inverse problems. However, training these models typically requires access to large amounts of clean data, which could prove diffi...

Gilles Louppe @glouppe.bsky.social · 14d

EM algorithm: 1977 vintage, 2025 relevant. New lecture notes on a classic that refuses to age. From fitting a GMM on the Old Faithful data to training modern diffusion models in incomplete data settings, the same simple math applies. 👉 glouppe.github.io/dats0001-fou...

Reposted by Gilles Louppe

Diana Cai @dianarycai.bsky.social · 15d

Fisher meets Feynman! 🤝

We use score matching and a trick from quantum field theory to make a product-of-experts family both expressive and efficient for variational inference.

To appear as a spotlight @ NeurIPS 2025.
#NeurIPS2025 (link below)

Fisher meets Feynman: score-based variational inference with a product of experts

Reposted by Martin Tomko, Gilles Louppe

Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 19d

What if we did a single run and declared victory

Three panel thing. In the left panel we use error bars. In the second, we take statistical significance as the biggest number but still have error bars. In LLM science, we just have the biggest number

Reposted by Gilles Louppe

m2lines.bsky.social @m2lines.bsky.social · 26d

Excited to share SamudrACE, the first 3D AI ocean–atm–sea-ice #climate emulator! 🚀 Simulates 800 years in 1 day on 1 GPU, ~100× faster than traditional models, straight from your laptop 👩‍💻 Collaboration with @ai2.bsky.social and GFDL, advancing #AIforScience with #DeepLearning.
tinyurl.com/Samudrace

SamudrACE: A fast, accurate, efficient 3D coupled climate AI emulator

A fast digital twin of a state-of-the-art coupled climate model, simulating 800 years in 1 day with 1 GPU. SamudrACE combines two leading…

Reposted by Gilles Louppe

Thomas Fel @thomasfel.bsky.social · 27d

🕳️🐇 𝙄𝙣𝙩𝙤 𝙩𝙝𝙚 𝙍𝙖𝙗𝙗𝙞𝙩 𝙃𝙪𝙡𝙡 – 𝙋𝙖𝙧𝙩 𝙄 (𝑃𝑎𝑟𝑡 𝐼𝐼 𝑡𝑜𝑚𝑜𝑟𝑟𝑜𝑤)

𝗔𝗻 𝗶𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗱𝗲𝗲𝗽 𝗱𝗶𝘃𝗲 𝗶𝗻𝘁𝗼 𝗗𝗜𝗡𝗢𝘃𝟮, one of vision’s most important foundation models.

And today is Part I, buckle up, we're exploring some of its most charming features. :)

Reposted by Peter Thorne, Gilles Louppe

Benjamin Pope @benjaminpope.bsky.social · 28d

Thrilled to have two years' of work out, in a pair of papers led by @gradientrider.bsky.social and @maxecharles.bsky.social.

We've built a data-driven calibration of the James Webb Interferometer to near its fundamental limits for high-res imaging - explainer at @aunz.theconversation.com!

How we sharpened the James Webb telescope’s vision from a million kilometres away

The only Australian hardware on board the legendary telescope is starting to fulfil its duties.

theconversation.com

Reposted by Gilles Louppe

Jérémie Kermarrec @jkermarrec.bsky.social · 29d

Dans cette interview avec la JASRAC (équivalent japonais de la SACEM), Nobuo Uematsu a donné son avis sur la musique générée par IA. À sa façon, il relaie ce nouvel adage : si personne ne s'est fatigué à l'écrire, je ne me fatiguerai pas à l'écouter.

📃 www.jasrac.or.jp/magazine/int...

Désormais, l’IA générative est capable de composer de la musique. Quelle est votre opinion là-dessus ?
Nobuo Uematsu : Je ne l’ai pas essayée pour le moment, et je pense que je ne le ferai pas. Je suis toujours convaincu qu’il est plus satisfaisant d’avoir créé quelque chose soi-même à la sueur de son front, et que quand on écoute de la musique, une partie du plaisir vient du fait de savoir qui est la personne qui l’a écrite. Avec l’IA, il n’y a pas un tel arrière-plan. Même en termes d’interprétation, la musique tissée par les humains est imprévisible et laissée à la libre appréciation de chacun. Pour moi, c’est précisément cette instabilité, cette effusion qui sont si exaltantes.

Gilles Louppe @glouppe.bsky.social · Oct 10

Bravo Gaël pour cette reconnaissance amplement méritée! Tu dis que la science est un sport d'équipe, et c'est vrai, mais une équipe a besoin d'un leader qui l'inspire. Je suis sûr que l'équipe scikit-learn, passée et présente, est fière de toi et de ce que nous avons construit ensemble. Champagne!

Reposted by Gilles Louppe

Gérôme Andry @gandry.bsky.social · Oct 8

🚀 After more than a year of work — and many great discussions with curious minds & domain experts — we’re excited to announce the public release of 𝐀𝐩𝐩𝐚, our latent diffusion model for global data assimilation!

Check the repo and the complete wiki!
github.com/montefiore-s...

GitHub - montefiore-sail/appa: Code for the publication "Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation".

Code for the publication "Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation". - montefiore-sail/appa

Reposted by Gilles Louppe

Dan Garisto @dangaristo.bsky.social · Oct 1

Had never read Jane Goodall's original 1963 article in Nat Geo on the wild chimpanzees in Tanzania until now. It's a wonderful blend of science and journalism, and well worth your time.

www.nationalgeographic.com/pdf/jane-goo...

David Greybeard, a wild chimpanzee, gets a handout of bananas from author Goodall, who studies the apes under a National Geographic Society grant. This scene near
her camp represents a triumph for Miss Goodall; at first the animals fled if she came
within 500 yards. Knapsack holds camera and notebook. She carries a whistle in her
pocket to summon searchers in case of accident in the rugged Tanganyika hills.

Reposted by Gilles Louppe

Gaël Varoquaux @gaelvaroquaux.bsky.social · Oct 1

Yeah, I think that "AI is the new petrol" is about right...

Reposted by Gilles Louppe

Maxim Raginsky @mraginsky.bsky.social · Sep 27

Rudolf Kalman put it nicely (and provocatively): link.springer.com/chapter/10.1...

Quote from R. Kalman, "Identification from real data": For an objective outsider, much of the historical development
of statistics is a long series of attempts to dodge the inevitable
implications of uncertainty. Whenever the conventional statistical
treatment of a problem gives a unique (certain) answer, as in
maximum likelihood estimation, in least squares, ... , common sense
should tell us that such a miracle is possible only if additional
assumptions (deus ex machina) are imposed on the data which
somehow succeed in neutralizing the intrinsic uncertainty. We
shall use the technical term "prejudice" for such assumptions.
In other words, statistical methodology has been handicapped
because statisticians have become mesmerized by the deep-seated
hope of giving certain answers to problems where the uncertainty
is intrinsic. This is politics, not science. For example, least
squares is very popular because it always gives a unique answer.
But this is exactly where its fatal weakness lies; when we pose
Nature a question, as in identification problems, we must not
phrase that question in such terms that the answer is
predetermined regardless of the nature of the data.

Gilles Louppe @glouppe.bsky.social · Sep 26

How do you type all these long long hyphens? — I keep seeing them everywhere. I learned the UTF-8 code by now but there must be something easier 🤔

Reposted by Gilles Louppe

Evert Nasedkin @evertnasedkin.bsky.social · Sep 26

🔭 It's paper day! Today I'm sharing the latest in a series of papers looking at the weather on other worlds, in this case bringing you the weather report from a nearby T-dwarf, SIMP-0136. 🪐

🧵 to follow...

Reposted by Gilles Louppe

sakanaai.bsky.social @sakanaai.bsky.social · Sep 25

We’re excited to introduce ShinkaEvolve: An open-source framework that evolves programs for scientific discovery with unprecedented sample-efficiency. It leverages LLMs to find state-of-the-art solutions, orders of magnitude faster!

Blog: sakana.ai/shinka-evolve/
Paper: arxiv.org/abs/2509.19349

Reposted by Gilles Louppe

Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · Sep 25

For folks considering grad school in ML, my advice is to explore programs that mix ML with a domain interest. ML programs are wildly oversubscribed while a lot of the fun right now is in figuring out what you can do with it

Reposted by Mark D. White, Lesley A. Hall, Kate Lancaster , and 4 more Mark D. White, Lesley A. Hall, Kate Lancaster, Rebecca Tushnet, James Goodwin, Michael Hancher, Gilles Louppe

Elise Cutts @elisecutts.bsky.social · Sep 24

Cecilia Payne-Gaposchkin ✨ figured out what stars are made of ✨ when she was just 25. 🔭🧪

Her PhD thesis basically established the Harvard astro department — at a time when Harvard didn't officially allow woman students.

I wrote this little profile to mark the 100th anniversary of her thesis:

Reposted by Gilles Louppe

MSNBC @msnbc.com · Sep 23

"It's the greatest con job ever perpetrated on the world.”

In his remarks at the United Nations General Assembly, President Trump addressed climate change, saying, "If you don't get away from this green scam, your country is going to fail."

Reposted by Peter Thorne, Jamie Hannaford, Ben Bond‐Lamberty , and 3 more Peter Thorne, Jamie Hannaford, Ben Bond‐Lamberty, Gavin A. Schmidt, Ed Hawkins, Gilles Louppe

Peter Stott @stottpeter.bsky.social · Sep 23

The people I work with are not stupid people and our climate predictions of 30 years ago of global warming have proved to be accurate. Just saying. www.bbc.co.uk/news/live/cp...

Reposted by Gilles Louppe

Dima Damen @dimadamen.bsky.social · Sep 19

As an SAC for @neuripsconf.bsky.social, I don't agree with PCs approach to reject papers based on ranking.
I ranked my accepted papers as requested and explicitly stated that I support the acceptance of all papers.
I was not given an explanation of why papers at the end of the rank were rejected.

Reposted by Gilles Louppe

Guillaume Dalle @gdalle.bsky.social · Sep 19

Is this the year we finally break up @neuripsconf.bsky.social?

Distracted boyfriend meme, featuring NeurIPS as the boyfriend.
Angry girlfriend: “allow authors to present in Copenhagen”
Girl passing by: “drop 400 accepted papers due to San Diego venue constraints”

Reposted by Mark A. Lemley, Stefan Reis, Jesse H. Kroll , and 42 more Mark A. Lemley, Stefan Reis, Jesse H. Kroll, Steve Peers, Andrew Scott, Serge Guimond, Caroline Krafft, Elizabeth Stokoe, Vincent Tiberj, Eric Goldman, Richard Kay, Sabine Pahl, Alan Lester, Fionnuala Ní Aoláin, Robert Black, Michael Kevane, Jussi T. Eronen, Laurent Pech, David R. Miller, Robert Wolfe, W. Andy Knight, Gerald Friedman, Richard Larouche, Jonathan Birch, Anne Norton, Dean Eckles, Molly Scott Cato, Andrew Watkins, Stuart White, Henrik Skaug Sætra, Paul Ekblom, Noah L. Nathan, Simon Lester, Hilde De Weerdt, Christina Pagel, Gilles Louppe, Daxton R. Stewart, Manisha Sinha, Olúfẹ́mi Táíwò, Nathan P. Kalmoe, Dan Immergluck, Guy Dewsbury, Virginia Sapiro, Markus W. Gehring, Southern Africa

Barack Obama @barackobama.bsky.social · Sep 18

After years of complaining about cancel culture, the current administration has taken it to a new and dangerous level by routinely threatening regulatory action against media companies unless they muzzle or fire reporters and commentators it doesn’t like.

Let’s be clear about what happened to Jimmy Kimmel

Trump’s most brazen attack on free speech yet.

Reposted by Gilles Louppe

Annalena Kofler @annalenakofler.bsky.social · Sep 17

To celebrate the 10 year anniversary of the first gravitational wave detection, I made a tutorial for high school students that explains how to use python to visualize the original gravitational wave data of GW150914. (Tested and approved by a very motivated German 10th grade student 😄)
#GW10Years

Reposted by Gilles Louppe

The University of Manchester @manchester.ac.uk · Sep 16

In 1950, Alan Turing - while at @manchester.ac.uk - proposed a simple but profound experiment: can a machine convincingly imitate human thought?

We now call it the Turing Test. 🧠💻

a man wearing suspenders and a watch looks down in front of a machine

Alt: Alarn Turing looks down in front of a machine

media.tenor.com