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.

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

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.

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

I'm very excited to introduce P3D: our PDE-Transformer architecture in 3 dimensions by . Demonstrated for unprecedented 512^3 resolutions! That means the Transformer produces over 400 million degrees of freedom in one go 😀 a regime that was previously out of reach: arxiv.org/abs/2509.10186

We promise this pandemic was only virtual. 20 years ago, an unexpected event in the online game "World of Warcraft" caught the attention of players and researchers. A new dungeon introduced a boss whose special attack temporarily drained a player’s health and could spread to others nearby. 🧵⬇️ (1/3)

Most industrial reactions happen on catalyst surfaces, but predicting which surfaces actually form is costly. Jun Yin and coauthors present SurFF, a foundation model that predicts surface exposure across intermetallic crystals with DFT-level accuracy, 100k× faster. www.nature.com/articles/s43...

Locality in Image Diffusion Models Emerges from Data Statistics, by Artem Lukoianov et al. (arxiv.org/abs/2509.09672), retweet if you want your model to generate samples in the "sampling voids".

The application for a research fellowship at the Flatiron Institute in the Center for Computational Math is now live! This includes positions for ML and stats. The deadline is Dec 1. apply.interfolio.com/173401 ML@CCM group: users.flatironinstitute.org/~lsaul/ml_cc...

I skimmed a paper of an author I dislike and it's amazing how a certain style of writing --overly complicated explanations of trivial claims, new jargon that hides how vacuous it all is, an overemphasize on mathematization regardless of whether it actually maps onto the claims made-- just wrecks me.

In @science.org, Buchli et al. have applied sophisticated machine learning techniques to the control electronics of @ligo.org. This improves the sensitivity of the detector at low frequencies - expanding its cosmological reach, particularly for low-mass mergers. ⚛️☄️ www.science.org/doi/10.1126/...

When we started this project, we expected accuracy to degrade as the compression rate increased. To our surprise, we found that accuracy remained constant or even improved!

Does a smaller latent space lead to worse generation in latent diffusion models? Not necessarily! We show that LDMs are extremely robust to a wide range of compression rates (10-1000x) in the context of physics emulation. We got lost in latent space. Join us 👇

Flying ✈️ to Stockholm for 2 days of AI for Science at the Royal Swedish Academy of Sciences scienceacademyswe.bsky.social Anyone around?

Very proud to see the #ML4PS2025 workshop thrive! ... but where will we put so many posters? 👀 (subtweet)

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?”.

Just finished delivering a course on 'Robust and scalable simulation-based inference (SBI)' at Greek Stochastics. This covered an introduction to SBI, open challenges, and some recent contributions from my own group. The slides are now available here: fxbriol.github.io/pdfs/slides-....

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.

Luca Ambrogioni The Information Dynamics of Generative Diffusion https://arxiv.org/abs/2508.19897

What a wild thing to read. "If such a prompt injection is included in a submission and it consequently results in a positive LLM-generated review, we consider this a form of collusion...that both the paper authors and the reviewer would be held accountable for, blog.iclr.cc/2025/08/26/p...

When a crystal is placed near a magnet, its electrons can only have certain amounts of energy. When this phenomenon is graphed, fractal patterns called Cantor sets emerge. www.quantamagazine.org/ten-martini-...

Next plenary talk at #GRETSI2025 my colleague Marc Bocquet from @ecoledesponts.bsky.social on AI in geosciences and data assimilation

Une longue succession de témoignages déprimants (j'ai failli envoyer le mien) pour témoigner de la mort rapide de la traduction humaine, remplacée par une automatisation pourtant très défaillante. Ce paragraphe est absolument pertinent : l'hystérie autour de l'IAgen a permis ce basculement.

The 6th busy beaver number is so big that even if you somehow carved a digit into every atom in the cosmos, you’d run out of atoms before making any measurable progress. www.quantamagazine.org/busy-beaver-...

Numerical weather prediction models (ECMWF IFS) still outperform AI weather models in forecasting record-breaking hot and cold extremes and unseen wind extremes Preprint arxiv.org/abs/2508.15724 with Zhongwei Zhang @erichfischer.bsky.social @zscheischlerjak.bsky.social and Sebastian Engelke

trying this with GPT-5 and charting new frontiers in gaslighting

Looky Looky! 😍🥳👏 arxiv.org/abs/2508.12939 Super fun project, I ❤️ed coauthoring w/ @sbi-devs.bsky.social. Great lead by @deismic.bsky.social & @janboelts.bsky.social. Contribs by many talented people @jakhmack.bsky.social. 🙏 to #BenjaminKurtMiller for the kickstart! @helmholtzai.bsky.social

RosettaFold 3 is here! 🧬🚀 AtomWorks (the foundational data pipeline powering it) is perhaps the really most exciting part of this release! Congratulations @simonmathis.bsky.social and team!!! ❤️ bioRxiv preprint: www.biorxiv.org/content/10.1...

🤖 Dang, we are seeing increasing evidence of this: The use of generative AI negatively affecting critical thinking. www.bloomberg.com/news/article... Paging @emilymbender.bsky.social, one of the few people who started warning the public about this years ago...

As always, Ted Chiang is great in this interview. cdh.princeton.edu/blog/2025/08...

Everybody misses the 1-page rebuttal. These lengthy forum style comments are a nightmare: a nightmare for the authors who spend way too much time writing them, a nightmare for the reviewers who spend too much time understanding them, a nightmare for the ACs who will have to summarize all. Stop it!

Why #NeurIPS PC? Why? We already have days of reading to do including reviews, responses, responses to responses and confidential comments to AC. Do you really think a "Final Remark" that tells me to accept the paper will help? Let me just do my AC job during august while everyone is on vacation!

📣 Please share: We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (#AISTATS 2026) and welcome paper submissions at the intersection of AI, machine learning, statistics, and related areas. [1/3]

“GPT-5 is the first time that it feels like talking to an expert in any topic — a Ph.D.-level expert,” OpenAI CEO Sam Altman said.

Call for Papers is out for the NeurIPS 2025 Workshop on ML & the Physical Sciences! Submit your 4-page papers on new directions in ML & physics by Friday, August 29th 🌌 💻 ⚛️ #ML4PS #ML4PS2025 ml4physicalsciences.github.io

1/ Can open-data models beat DINOv2? Today we release Franca, a fully open-sourced vision foundation model. Franca with ViT-G backbone matches (and often beats) proprietary models like SigLIPv2, CLIP, DINOv2 on various benchmarks setting a new standard for open-source research.

"AI Comes Up with Bizarre Physics Experiments. But They Work." by @anilananth.bsky.social @quantamagazine.bsky.social: www.quantamagazine.org/ai-comes-up-... Covering our work with Rana Adhikari @ligo.org on discovering GW detectors & work by @yuqirose.bsky.social & @kylecranmer.bsky.social on ...

A #computervision researcher at #ICML2025

Our development of machine-learned transferable coarse-grained models in now on Nat Chem! doi.org/10.1038/s415... I am so proud of my group for this work! Particularly first authors Nick Charron, Klara Bonneau, Aldo Pasos-Trejo, Andrea Guljas.

Exciting development for Europe! However I am still puzzled about "Note that accepted authors should still plan to present their papers at NeurIPS, with an additional presentation at EurIPS if desired". How can we be at both places at once?

EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅 EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu eurips.cc

you've heard about the college kids who can't do anything without ChatGPT's help—but what about the students who oppose generative A.I. for myriad reasons and refuse to rely on it as a shortcut? well, I found and spoke with a few of them here: slate.com/life/2025/07...

Last week, I gave an invited talk on "asymmetric reinforcement learning" at the BeNeRL workshop. I was happy to draw attention to this niche topic, which I think can be useful to any reinforcement learning researcher. Slides: hdl.handle.net/2268/333931.

🎉 Great news: Our Machine Learning and Physical Sciences workshop will be back again this year! 🎉 Keep an eye out for updates on deadlines etc, we will be updating the website soon ml4physicalsciences.github.io #ML4PS2025

After threatening reviewers and co-authors, the PCs are now micro-managing ACs. @neuripsconf.bsky.social please review the tone of your emails. We do not need to be treated like children. We are all adults here, and we are all trying to do our best, free of charge.

Not sure if it is only me, but I find this year's NeurIPS communication towards reviewers and (co-)authors quite aggressive and intimidating. It might be effective for receiving reviews in time, but is it really what we want as a community? There are many circumstances that can explain later reviews

As always, a very nice talk from Francois Lanusse: Generative Al for Inverse Problems and Forecasting Slides: eiffl.github.io/talks/Paris2...

I am desperate about NeurIPS reviews. The vast majority of reviews consists of: - 2 bullet points for strengths - 2 bullet points for weaknesses Furthermore, often these points are general, eg. - "The approach is novel" w/o specifying why - "Ablation studies are insufficient" ... what is missing?

The tutorial is based on a pedagogical example I came up with as a thought experience many years ago: how can you measure the size of a raindrop with a bunch of buckets?