A chance to join us as postdoc in Gothenburg to workon this :) www.chalmers.se/en/about-cha...

Funny failure mode

Why you should probe more than just the final layer of your Vision Transformer to maximize performance. 🧵👇

Something @eugenevinitsky.bsky.social and I are very curious about... how can we make our client (a version of Bluesky for researchers) more friendly to grad students? What would encourage you all to post more?

Another Erdos problem this morning: (just to respond to a few people-- the system does NOT work by trying every possible answer and then checking. There's not enough matter and energy in the universe to solve theorems by trying every possible combination of symbols or whatever)

Power chords are even cooler in 5-part choir harmonization of a twelve tone row (from 2:17 open.spotify.com/track/7uezPJ... )

Reviewing for CVPR is sadly very boring.

New blog post (on a shiny new ICML blog!): What's New in #ICML2026 Peer Review Some highlights: - Policies to combat thinly sliced contributions - Cascading desk rejections for peer-review abuse - Reviewer reciprocity - New ways to support authors and reviewers Post: blog.icml.cc/2026/01/08/w...

so what do you think ChatGPT will say when ten million people ask it who they should vote for next year

I'd like to propose the following norm for peer review of papers. If a paper shows clear signs of LLM-generated errors that were not detected by the author, the paper should be immediately rejected. My reasoning: 1/ #ResearchIntegrity

every claim that "the incentives" support or deter certain kinds of behavior is also a statement about what kinds of external signals the claimant views as rewards or penalties #linklog

On the unexplained similarity across networks In behavior, order and weights, we keep seeing evidence that learning is more consistent than one might think. A walk through occurrences, my thoughts and the open question, why?! What's your hypothesis, missed papers and thoughts 🤖📈🧠 #AI

📢The second edition of ✨GRaM workshop✨ is here this time at #ICLR26. 🌟Submit your exciting works in Geometry-grounded representations. We welcome submissions in multiple tracks i.e. 📄 Proceedings 📝extended abstract 👩‍🏫Tutorial/blogpost as well as an exciting challenge!

Worried about AI’s military uses? We are too. We’re organising an ICLR 2026 workshop on AI research and military applications—dual-use risks, transparency, accountability, and ethical/legal governance & policy. Details + paper submissions: see Noa’s post and visit aiforpeaceworkshop.github.io.

An excellent article describing how LLMs fit into the bureaucratization of science: open.substack.com/pub/artifici...

You know what season it is! Right. Internship application season. Niantic Spatial is offering research internships on a multitude of 3D vision topics: relocalization, reconstruction, 3D VLMs... Top tier papers regularly come out of our internships 🚀 nianticspatial.careers.hibob.com/jobs/0fc4871...

#KostasKeynoteLessons: Curious about the "Keynote magic" behind my slides? I’m releasing the full Keynote source file for my recent Gaussian Splatting lecture, all 10 GIGAbytes of it! Grab the files in the thread and feel free to remix. Files: drive.google.com/drive/folder...

Super excited to bring GRaM 2.0 to ICLR 2026 in Brazil! Call for papers coming soon! @gram-org.bsky.social @iclr-conf.bsky.social

🧠🔬 Excited to share our #NeurIPS2025 paper: "Convolution Goes Higher-Order"! We asked: Can shallow networks be as expressive as deep ones? Inspired by biological vision, we introduce higher-order convolutions that capture complex image patterns standard CNNs miss. 🧵👇

🧠 How do neurons encode information? We know HOW MUCH, but what about WHAT information they encode? Our new work uses diffusion models to decompose neural information down to individual stimuli & features! 🎯Spotlight at #NeurIPS2025 🌟📄 arxiv.org/abs/2505.11309

I'm open to there being a role for blind review, but introducing non-blind review has a lot of upsides that may reduce how much we actually care about blind review. I think we care about blind review only because our publishing system is poorly designed and needs change in the modern era anyway.

We are currently recruiting 2 PhD students to work on AI-driven polymer design and engineering in my team at Chalmers as part of our @erc.europa.eu project POLYGEN. 💻🧪🇸🇪 Please spread the word and share to potentially interested candidates! Apply by: Dec 28, 2025 www.chalmers.se/en/about-cha...

"Initial Analysis of OpenReview API Security Incident" from OpenReview

Ok this is the best counter against non-blind reviews I've seen so far. It would be possible to detect collusion. But who is going to do that?

I feel a bit Jurgenish, but let me refer to the our post with Amy. So far one (the privilege plays here a big role though) could get all the confidence functions from elsewhere - arXiv, social media and LLMs. Except the formal goodies one 1/ amytabb.com/tips/2020/08...

For instance, ICLR could announce that they double the acceptance rate this year, let people withdraw who think this devalues the publication and probably make the ACs work a whole lot easier.

From OpenReview This may be the most serious issue I have ever seen in the peer-review systems However, as pointed out here, we should immediately report the bug to the team, instead of sharing in public or keeping silent Very disappointing that some people actively exploited the vulnerability

Presenting today at #BMVC2025 our follow-up work on anisotropic rotation averaging which is particularly useful in global SfM. We propose a fast solver ACD and integrate robust optimization. If you’re at the conference, welcome to come to our poster #516! bmvc2025.bmva.org/proceedings/...

New feature extractor just dropped

I am hiring a PhD & postdoc to work together with me at KTH on probabilistic machine learning. Both positions are fully funded and part of WASP. I will be attending @euripsconf.bsky.social, if you are around and want to talk about the positions or what we do at KTH, then ping me and we can meet.

Getting journal rejections like

SAM 3D: 3Dfy Anything in Images SAM 3D Team et al? tl;dr: in title. 8-stage training, dataset, human labeling. Do not read tl;dr, read whole paper arxiv.org/abs/2511.16624

RoMa v2 is now out! (github.com/Parskatt/rom..., arxiv.org/abs/2511.15706) Here are the main improvements we made since RoMa:

They trained a vanilla Vision Transformer (ViT), to perform image-to-image mapping, solely on Abstraction and Reasoning Corpus (ARC) data and generalizes to unseen tasks through test-time training. The model achieves 60.4% accuracy on the ARC-1 benchmark, outperforming existing methods.

It's now recommended by ICLR to flag poor/LLM reviews to ACs xcancel.com/iclr_conf/st... Quite interesting how this will turn out given that pangram estimates 20% of all reviews to be LLM generated iclr.pangram.com/reviews

Criticising a paper without concrete suggestions for how to attain inner calm is bad reviewing tbh.

Last week we launched IMC2025-Ongoing on @kaggle.com The dataset is exactly as in IMC2025, but the competition is on-going for a year, making it better for academic leaderboard and persistency. kaggle.com/competitions... 1/2

What is the "author registration" for CVPR 2026? Got no hits from a ctrl-f on the Author Guidelines page @cvprconference.bsky.social

blog.arxiv.org/2025/10/31/a... FYI the blog post for the updated policy is out. Our llm future is dire:/

Want to generate point clouds? Our (w/ Ernst Röell) #NeurIPS2025 paper shows a topology-driven method that is fast, simple, and high-quality. 🔥 1/n

There's an increasingly popular argument saying that for 3D point clouds with rotational ambiguity (e.g. molecular data) standard transformers are preferable over equivariant models for compute reasons. With “Platonic Transformers” we show why this doesn't have to be true. arxiv.org/abs/2510.03511

Proud to be part of work on “Certifiably Optimal Anisotropic Rotation Averaging” that is an #ICCV2025 award candidate. If you're at the conference, come and learn about it — Carl Olsson gives a presentation today at 1:30pm (Oral 4B) in Kalakaua Ballroom; poster #305 is in Exhibit Hall from 2:45pm.

Lund University is hiring a Postdoctoral Fellow in Earth Observation! 🌍🛰️ Postdoc on vegetation fires and land abandonment using remote sensing and spatio-temporal analysis. 3-year, full-time research position. Apply by November 17, 2025. climateainordics.com/job-openings...

Turns out NLP is just vision

Poor eigenvalues can't make it from 1 to -1. :(

Do you trust RANSAC stopping criterion? - Yes, confidence=0.99 FTW - No, max_iter FTW - WTF are you talking about? Answer in comments.

Pro tip: For good Halloween vibes, use non-normalized RoPE on images larger than your training resolution and larger than the composite period of some of the RoPE-rotations. You might get scary ghost structures in your features.

scipy deprecates `sph_harm` and replaces it with `sph_harm_y` where `n` and `m` have switched order and `theta` and `phi` have switched meaning 🙃

Images (or image patches) are secretly multi-channel signals over groups. Below, the dihedral group of order 8: reflecting/rotating the image permutes the values in the magenta vector. So we can reshape the image into 8-tuples that all permute according to the dihedral group (edge case diagonals).