Vincent Fortuin

A digital CAPTCHA verification window titled "Select all squares with PIPES" against a plain white background. The window contains a 3×3 grid of numbered squares, mixing literal hardware, smoking pipes, and programming syntax.

These captchas just keep getting harder #rstats

I’m happy that someone did it, now I have one fewer paper to write.

Leibniz, looking at the universe: "Why is there something instead of nothing?"

Me, looking at my Outlook calendar: same

When shaping your research agenda, your objective is to find the weirdest niche possible that still has the potential to change everything.

It's time for this picture again ...
#ECCV2026

Graph Homomorphism Distortion: A Metric to Distinguish Them All and in the Latent Space Bind Them A large driver of the complexity of graph learning is the interplay between structure and features. When analyzing the expressivity of graph neural networks, however, existing approaches ignore featur...

To kick off the PhD journey with @pseudomanifold.topology.rocks:

What are the limitations of the WL metric, and what is an 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘷𝘦 𝘮𝘦𝘵𝘳𝘪𝘤?

We answer these questions with our 𝗚𝗿𝗮𝗽𝗵 𝗛𝗼𝗺𝗼𝗺𝗼𝗿𝗽𝗵𝗶𝘀𝗺 𝗗𝗶𝘀𝘁𝗼𝗿𝘁𝗶𝗼𝗻

arxiv.org/abs/2511.03068

@olgatticus.bsky.social, Kavir and @erikjbekkers.bsky.social

Happy to now be hosted on @eurosky.social! Feels nice for my account to live on European infrastructure now 😊

I’ve only met Joe once at a poster session many years ago, but I remember an incredibly kind man who gave me essentially a private intro lecture on causal inference, when I was just a little student who had never heard of that before. May he rest in peace.

If you missed the @auai.org deadline but have some awesome work you wanna share with the world, #ProbML submissions deadline is just around the corner! And it’s in Seoul 🇰🇷, meaning good food is guaranteed.

Missed the UAI deadline but want to get your results out soon? 🤔 Consider submitting to ProbML (Deadline: March 20) and join us in Seoul right before ICML 🇰🇷

👉 probml.cc 👈

Easily one of the top charts of all time

Haha, same!

How far back in time can you understand English? An experiment in language change

If you liked this experiment, I published a full piece today in the same vein: a text that gets 100 years older with every section, from a modern blog post to a medieval chronicle.

It's a single story spanning 1000 years of English. See how far you get.

www.deadlanguagesociety.com/p/how-far-ba...

There will be 3 great workshops at Aistats this year -> consider submitting your work and attending!

🌴📊📈 - AISTATS 2026 workshops

For the first time, AISTATS (May 2-5 in Tangier, Morocco) will have a day of workshops!

Please submit your best work by Feb. 27th:
- calibration-workshop.github.io
- optimal-workshop26.github.io
- causcale.github.io

virtual.aistats.org/virtual/2026...
👇

Public-speaking tips from the experts: what scientists can learn from comics, musicians and actors Taking to the stage to present your science is a key part of research, but talks often fall flat, says John Tregoning. Can scientists learn from performers to better engage an audience?

Helpful speaking tips here--especially for early career academics. Sure, your command of the audience at your next talk may not rival a young, hungry to get noticed/make a mark Bono at Live Aid (YouTube it), but always ways to improve.

Small Language Models (SLMs) don’t have the capacity to remember everything in their training data. Which tokens should they learn to predict, and when should they ask for help? We tackle this question in our new preprint.

You can check it out on arxiv: arxiv.org/abs/2602.12005
🧵1/7

Thank you for your service! 🫡

2025 was a blockbuster year for TMLR -- big growth from 2024, but also cementing our J2C partnership with NeurICMLR, and launching Beyond PDF.

Also, cutting the cord: with the founding EiCs completing their tenure, I am now the old guy 👴

Check out the annual report for more!

Scientists no Longer Find Twitter Professionally Useful, and have Switched to Bluesky Synopsis. Social media has become widely used by the scientific community for a variety of professional uses, including networking and public outreach. For

Bluesky is the new science Twitter, new study by @whysharksmatter.bsky.social and Julia Wester concludes!

"Results show that for every reported professional benefit that scientists once gained from Twitter, scientists can now gain that benefit more effectively on Bluesky than on Twitter."

This is why I always verify the results when I use AI

Check out the paper 👉 arxiv.org/pdf/2602.087...

Looking forward to presenting this work in Rio, and many thanks to @vincefort.bsky.social for his supervision!

I’m pleased to share that our latest paper, “Amortising Inference and Meta-Learning Priors in Neural Networks”, has been accepted to ICLR 2026 in Rio!

++ Major News ++

AABI is now ProbML: the Symposium on Probabilistic Machine Learning! Very excited about this!

ProbML will be co-located with ICML in Seoul!

Check out our new website: probml.cc!

AABI is now ProbML!!! 🚀

Join us in Seoul (co-located with @icmlconf.bsky.social) and have exciting discussions about research on probabilistic machine learning!

Really excited to see this. I’ve been involved since the early AABI days, and it’s been incredible to see the trajectory — from NeurIPS/ICML workshops, to a symposium, and now to a full conference as ProbML. Huge thanks to the program/general chairs and the whole organizing team!

Probably the best event on probabilistic ML I know 🔥🔥🔥 Highly recommended, especially if you cannot make the UAI deadline (we have a proceedings track published in PMLR!) or are already planning to attend ICML (for example, via the fast track to present an already published paper).

New version of AABI just dropped! Come join us in Korea this year 😊🇰🇷

Bluesky Map Interactive map of 3.4 million Bluesky users, visualised by their follower pattern.

I made a map of 3.4 million Bluesky users - see if you can find yourself!

bluesky-map.theo.io

I've seen some similar projects, but IMO this seems to better capture some of the fine-grained detail