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
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
We introduce epiplexity, a new measure of information that provides a foundation for how to select, generate, or transform data for learning systems. We have been working on this for almost 2 years, and I cannot contain my excitement! arxiv.org/abs/2601.03220 1/7
January 7, 2026 at 5:28 PM
Reposted by Gilles Louppe
A study shows that using AI tools like LLMs lowers cognitive engagement and critical thinking in essay writing, signaling a trade-off between convenience and growth. LLM users had weaker memory recall and ownership, raising vital talks about AI's role in education. https://arxiv.org/abs/2506.08872
Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task
ArXiv link for Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task
arxiv.org
January 7, 2026 at 4:12 AM
Reposted by Gilles Louppe
Truly this site hosts the most controversial of opinions
I feel like it is far more important to teach SVMs, and the machinery around them, in basic ML courses now than it was in 2012.
January 5, 2026 at 4:19 AM
Reposted by Gilles Louppe
2020s: AI "System Prompts" are lengthy, carefully constructed sets of expert rules about a particular domain, created by "prompt engineers".

1980s: AI "Expert Systems" were lengthy, carefully constructed sets of expert rules about a particular domain, created by "knowledge engineers".
January 1, 2026 at 8:59 PM
Reposted by Gilles Louppe
Happy New Year!

Do your plans for 2026 include...
- working with a great team lead by @wellingmax.bsky.social and @aronwalsh.github.io?
- living in Amsterdam, Berlin, London, or Cambridge?
- using fun tools from ML and material science?
- solving important problems?

Then join us at CuspAI!

1/2
January 1, 2026 at 7:51 PM
I just started playing with Claude Code too. It is really impressive 🀯
December 30, 2025 at 12:55 PM
Reposted by Gilles Louppe
A biologically detailed brain model has matched animal learning performance and uncovered previously overlooked neuron activity linked to errors during visual categorization tasks. doi.org/hbhcsn
Biology-inspired brain model matches animal learning and reveals overlooked neuron activity
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the discovery of counterintuitive activity by a group of neurons that researchers working with animals to perform the same task had not noticed in their data before, reports a team of scientists at Dartmouth College, MIT, and the State University of New York at Stony Brook.
phys.org
December 29, 2025 at 4:50 PM
I have been in AI for science for 10+ years now. Real benefits, real impact. But 'AI' feels like a bad word now, with the media running 10:1 negative. Yet almost everyone around me uses LLMs daily. Honestly lost.
December 28, 2025 at 7:13 PM
Reposted by Gilles Louppe
Coding.
December 28, 2025 at 7:44 AM
Reposted by Gilles Louppe
What an amazing Yule gift from @stefanradev.bsky.social & colleagues: a tour-de-force tutorial on diffusion models for simulator-based inference.

This is one of the most comprehensive and useful review/tutorials I have ever seen -- a must read! Kudos to all the authors!

arxiv.org/abs/2512.20685
Diffusion Models in Simulation-Based Inference: A Tutorial Review
Diffusion models have recently emerged as powerful learners for simulation-based inference (SBI), enabling fast and accurate estimation of latent parameters from simulated and real data. Their score-b...
arxiv.org
December 26, 2025 at 11:16 AM
Reposted by Gilles Louppe
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!
December 19, 2025 at 4:35 PM
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/
December 19, 2025 at 7:14 PM
Reposted by Gilles Louppe
Your pretty picture of the day πŸ˜€ 🌊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 πŸ˜…
December 17, 2025 at 9:55 AM
Reposted by Gilles Louppe
New orbit movie just dropped. This one is for the newly discovered circumbinary planet HD 143811 AB b. This 9-year timelapse was made through an international collaboration with me, Nathalie Jones (Northwestern graduate student), and Vito Squicciarini (Exeter postdoc)
A discovery fit for Star Wars: CIERA astronomers have directly imaged a Tatooine-like planet orbiting two suns β€” and it’s closer to its stars than any other directly imaged planet in a binary system. 🌟🌟πŸͺhttps://bit.ly/4q8Dfto
@thejason.wang #Exoplanets #Astronomy #Northwestern #CIERA
December 12, 2025 at 5:54 PM
Reposted by Gilles Louppe
Excellent post d'une traductrice juridique qui ne mÒche pas ses mots à propos de la post-édition (MTPE). Il y a beaucoup de punchlines percutantes, mais en résumé : nous ne sommes pas des serpillières juste là pour nettoyer les flaques de d-IA-rrhée.
"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
December 10, 2025 at 2:50 PM
Reposted by Gilles Louppe
Repeat after me: This is NOT a paper contribution, it’s an expected component!
December 8, 2025 at 6:01 PM
Reposted by Gilles Louppe
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
December 8, 2025 at 6:51 AM
Reposted by Gilles Louppe
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
December 7, 2025 at 4:13 PM
Reposted by Gilles Louppe
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!
December 6, 2025 at 6:53 PM
Reposted by Gilles Louppe
The Nobel Prize committee should announce the World Cup winner tomorrow
December 6, 2025 at 4:29 AM
Reposted by Gilles Louppe
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
December 5, 2025 at 4:50 PM
Reposted by Gilles Louppe
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
December 5, 2025 at 4:50 PM
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 πŸ”₯
December 4, 2025 at 5:38 PM
Reposted by Gilles Louppe
December 5, 2025 at 12:50 PM