Gilles Louppe
glouppe.bsky.social
Gilles Louppe
@glouppe.bsky.social

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%
Pinned
<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

New AI models from @polymathicai.bsky.social use knowledge from scientific fields and apply it to others. Walrus (seen below) can tackle systems from exploding stars to Wi-Fi signals: https://www.simonsfoundation.org/these-new-ai-models-are-trained-on-physics-not-words-and-theyre-driving-discovery/
Doing a PhD is - at heart - one long discussion with your mentor. The discussion changes over time - with unexpected turns and ups & downs - but through it all is a pair of people discussing a topic endlessly to make sense of it.
PhD students: choose someone you like to talk to!
Your pretty picture of the day 😀 🌊with of course many interesting processes! Water rich in suspended sediments is moved around by ocean currents in the Bay of Biscay. I'm curious about the long-range waves seen in the dark region, can't decide if these are oceanic, atmospheric, or an artifact 😅

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A discovery fit for Star Wars: CIERA astronomers have directly imaged a Tatooine-like planet orbiting two suns — and it’s closer to its stars than any other directly imaged planet in a binary system. 🌟🌟🪐https://bit.ly/4q8Dfto
@thejason.wang #Exoplanets #Astronomy #Northwestern #CIERA

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"Machine translation would handle the heavy lifting, and we’d add the expert polish. Except the machine made a mess. And we’re doing expert-level cognitive labour to clean it up for cleaning wages.

We’re not mops. We’re translators."

#translation #xl8

www.linkedin.com/pulse/open-l...
An open letter to colleagues: we are not mops
After more than two decades working in legal translation across four languages and multiple jurisdictions, I’ve watched our profession reshaped by forces that claim efficiency as a path to our expenda...
www.linkedin.com

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Repeat after me: This is NOT a paper contribution, it’s an expected component!
was at an event on AI for science yesterday, a panel discussion here at NeurIPS. The panelists discussed how they plan to replace humans at all levels in the scientific process. So I stood up and protested that what they are doing is evil.

Full post:
togelius.blogspot.com/2025/12/plea...
Please, don't automate science!
I was at an event on AI for science yesterday, a panel discussion here at NeurIPS. The panelists discussed how they plan to replace humans a...
togelius.blogspot.com

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Why can neurons with completely different ion channels fire identically? 🧠

Neuronal degeneracy isn't a bug - it's a feature. Come see how we reconstruct entire degenerate populations from spike times within an interpretable feedback framework.

Poster @dataonbrainmind.bsky.social

#NeurIPS2025 #DBM

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If you are interested in diffusion models for dynamical systems and posterior inference, stop by our poster at ML4PS workshop (@neuripsconf.bsky.social) at 11am!

Come and see how we apply modern methods to the challenging field of global weather inference!
The Nobel Prize committee should announce the World Cup winner tomorrow

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Later we did early work using message passing graph NNs with @joanbruna.bsky.social and @johannbrehmer.bsky.social. Fully connected message passing NNs are pretty similar to transformers, but this was in 2017.
ml4physicalsciences.github.io/2017/files/n...
ml4physicalsciences.github.io

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An unexpected shoutout from @kyunghyuncho.bsky.social in his NeurIPS keynote. @glouppe.bsky.social & I collaborated with him to bring ideas from natural language to high-energy physics back in 2016.
arxiv.org/abs/1702.00748

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Reposted by Gilles Louppe

Super excited (and a bit nervous) to give a keynote tomorrow afternoon at #EurIPS. I'll be math, LLMs, and politics 🔥

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1/ 🌀 New paper alert! We introduce Dingo-T1, a flexible transformer-based deep learning model for gravitational-wave (GW) data analysis. It adapts to different detector & frequency settings, improving inference efficiency and flexibility

🚀 #AI #MachineLearning #Physics #Astronomy #AcademicSky

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What coding with an LLM feels like sometimes.

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Introducing gRNAde: our own little "AlphaGo Moment" for RNA design! 🧬🚀

📝: tinyurl.com/gRNAde-paper

Unlike proteins, RNA design has long relied on "wisdom of the crowd" (human experts) or the slow crawl of directed evolution — gRNAde changes that! 🧵👇

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The Neurips test of time award goes to Faster R-CNN

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Søren Hauberg shares how #EurIPS was put together in a matter of months

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En Belgique on ferme des réacteurs nucléaires et on ouvre deux grosses centrales à gaz. Comme quoi le changement climatique et l'approvisionnement en gaz auprès de pays pas toujours bienveillants ne semblent pas des problèmes prioritaires pour cette majorité (et les précédentes).
We can't really say this enough...

> Anastasia Berg [at UCL Irvine] said that new research — and what she's hearing directly from colleagues across various industries — shows that employees who heavily rely on AI are losing core skills at a startling rate.

www.businessinsider.com/ai-tools-are...
AI tools are 'deskilling' workers, philosophy professor says
A philosophy professor warns that AI reliance is weakening workers' judgment, creativity, and problem-solving.
www.businessinsider.com

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Yesterday, I did 2 AI conferences in Paris; different kind of vibes.
AdoptAI, a business show: pretty videos, promises about AI, 2.30€ coffee
NeurIPS@Paris, a research conference: equations, free coffee

AI business wouldn't exist without research. Let's not forget it and keep investing in research

Les prix pour la première conférence en IA. Sans compter le vol jusque San Diego, la semaine à l'hotel, ou les frais sur place...

Finally, at the #CCAI workshop, Thomas will show how, without retraining, GenCast can be embedded in a particle filter for data assimilation. That is, no initial state x0 is required anymore, observations are sufficient to start generating realistic weather trajectories! arxiv.org/abs/2509.18811

At the same workshop, @orochman.bsky.social will discuss how neural solvers only approximately satisfy physical constraints (even if they are supposedly trained for that). Fortunately, simple post-hoc projection steps can help improve physical consistency significantly. arxiv.org/abs/2511.17258

At the #ML4PS workshop, @gandry.bsky.social and @sachalewin.bsky.social will present Appa, our large weather model for global data assimilation. Appa differs from other weather models in that it can do reanalysis, nowcasting and forecasting within the same framework. arxiv.org/abs/2504.18720

@francois-rozet.bsky.social (attending @euripsconf.bsky.social) will present the work he did at @polymathicai.bsky.social as an intern. In a nutshell, we find that emulating physics in latent space leads to better results than trying to generate in pixel-space directly. arxiv.org/abs/2507.02608

Our Montefiore Science with AI lab will be at #NeurIPS2025 presenting 1 paper at the main conference and 3 papers at workshops. If you are attending, feel free to reach out with the crew to discuss science, AI, or just to say hi! (I won't attend this year unfortunately 🌱)

Reposted by Gilles Louppe

As we go into the Thanksgiving holiday, I wanted to express my thanks to my collaborators @johannbrehmer.bsky.social @glouppe.bsky.social, Juan Pavez, @smsharma.bsky.social. Recently, I was awarded the Pritzker Prize for AI in Science for work on SBI. That wouldn't have never happened without them.

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Lots of interesting LLM releases last week. My fav was actually Olmo 3 (I love the Olmo series due to their full open-sourceness and transparency).
If you are interested in reading through the architecture details, I coded it from scratch here: github.com/rasbt/LLMs-f...