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

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.

Coding.

Very nice arxiv.org/abs/2512.20003

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

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!

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/

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 😅

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)

Excellent post d'une traductrice juridique qui ne mâche 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.

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...

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

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

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...

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

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

Beautiful keynote by @gaelvaroquaux.bsky.social at @euripsconf.bsky.social .

🎉 "High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model" will be presented as an oral at #NeurIPS2025 🎉 Feeling very grateful that reviewers and chairs appreciated concise mathematical explanations, in this age of big models. www.biorxiv.org/content/10.1... 1/2

What coding with an LLM feels like sometimes.

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

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! 🧵👇

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

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

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).

Anecdotally (but I guess reflected in broader research) I was just talking to two friends who both work in software, and they complained that recent hires are so dependent on ChatGPT that these hires' own problem-solving skills are almost non-existent.

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

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 🌱)

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 🌱)

The Mathematics of Artificial Intelligence: In this introductory and highly subjective survey, aimed at a general mathematical audience, I showcase some key theoretical concepts underlying recent advancements in machine learning. arxiv.org/abs/2501.10465

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.

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...

... and here I thought the new Scholar Labs would finally be able to search and find my Scholar profile 😥

It takes 225 million years or so for the Solar System to make one orbit around the galaxy. Sharks evolved long enough ago that they’ve done it twice.

What happens when you combine 10 years of brain data with one of the world’s fastest supercomputers? A virtual mouse cortex simulation, thanks to a global collaboration. 🧠📈 https://alleninstitute.org/news/one-of-worlds-most-detailed-virtual-brain-simulations-is-changing-how-we-study-the-brain/

GDM WeatherNext 2 8x faster than v1, it can compute extreme situations and game out scenarios in one minute flat on a single TPU (as opposed to hours of supercomputer time for traditional algorithms) will be available in all of Google’s weather apps blog.google/technology/g...

I am super happy to share that our project on training biophysical models with Jaxley is now published in Nature Methods: www.nature.com/articles/s41...

It's remarkable how AI generated images have gone from remarkable and visually attractive to repulsive AI slop in just a few years.

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...

‪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.

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.

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

"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

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...

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)

What if we did a single run and declared victory

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

🕳️🐇 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. :)

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!