Rémi Flamary

This lunch made me feel old and irrelevant like a kernel machine guy at ICLR

It reminds me of a recent lunch with @rflamary.bsky.social and his team, where we were discussing Highlander. Then I asked the PhD students and postdocs if they knew the movie (not even the series) and... total blank. They had no idea.
One week later, same story with Buffy the vampire slayer 🤣

Dans le Canard de cette semaine.

Calvin and Hobbes! Making me feel bad about my job as a ML researcher.

But we say we do it because it's practical only because nobody except the geek sees the beauty of it.

This semester I have been given the chance to teach a course on "Deep Learning for Time Series" at @ipparis.bsky.social

If you're interested in the topics, have a look at rtavenar.github.io/x-dl4ts/

Repo has Typst code for the slides and Python code for the labs.

Feedback is very much welcome.

This year I'm teaching a new course on generative models for visual content (images, video, 3D, etc). It's mostly me rambling about recent papers, design choices I like/hate. The slides of the first lectures are here: davidpicard.github.io/teaching/
Use right arrow to navigate past the blank page.

Probably if you give it meaningful metrics such as compile time and execution speed on benchmarks. But be careful what you wish for. Correct a compilation is difficult to check

To be clear ccc is an impressive achievement of agentic AI but I think we should be careful of computational and energy usage and do efficient and optimized code. Being cheap in Person.Month is short-sighted if resources are lost.

Next time you want to use a vibe coded compile think about benchmarking the resulting binary. ccc on SQLite is up to 150k slower on some SQL queries and the benchmark took 2 hours vs 10sec for GCC compiled harshanu.space/en/tech/ccc-...

Perfect I think it's important ! this was of course a joke. Your code is as always very easy to read and I'm very impressed by your ability to implement very simply and clearly models so close to SOTA.

So how does it work? Meet Miniature (mini + IA, get it?), a complete AI agent in ~225 lines of Python. No frameworks, no abstractions. Code: github.com/glouppe/miniature

I felt a great disturbance in the Force, as if millions of voices of security consultants suddenly cried out in terror and were suddenly silenced.

You blew it up! Ah, damn you! God damn you all to hell!

Looks like low res tales of the loop. You are getting somewhere interesting at least.

Again if it requires to execute something, you should probably have a look at what it wants to execute before you give it the keys to your machine. Security always comes with pain but with a machine that can do real life harm we have to be more careful than what I see happening.

Well you can always not give execution rights to an LLM you cannot trust. Seems to me it's the wild west an security nightmare only if you want it.

École polytechnique and Institut Polytechnique de Paris are some of of the best place in France to teach and do ML research. We have a reduced teaching load, a very active research community, very good students and full academic freedom.

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1️⃣ Monge Assistant Professor (Tenure track) in Statistical Learning, Graphs & Large Language Models.
We're looking for researchers in graph learning, large language model methodology and theory, robustness, structured data, and related areas. tinyurl.com/322axx5n

We are recruiting four positions connected to Machine Learning, Statistical Learning, and AI for Science in the Applied Mathematics department at École polytechnique. Join our vibrant community at IP Paris and Hi! Paris IA center. List below🧵 tinyurl.com/3jpw9t26

Bullshit is like entropy nowadays it can only increase.

3-panel comic. (1) [Three small arthropods on ocean floor.] ARTHROPOD 1: Now that we’re multicellular, what are your plans? I’m gonna evolve little legs and swim around with them! ARTHROPOD 2: I’m gonna evolve sharp pincers and use them to crunch stuff! ARTHROPOD 3: I’m gonna evolve glands to make string from my butt and use it to construct elaborate geometric nets hundreds of times my size to catch other animals. (2) [Silence] (3) ARTHROPOD 1: *Dude.* ARTHROPOD 2: Can you *please* just be normal about this? ARTHROPOD 3: *What??!*

Early Arthropods

xkcd.com/3199/

This reddit post made me laugh

Apparently the NeurIPS chairs decided to reopen the camera-ready submission to ensure "that the proceedings reflect the highest scientific quality.” @neuripsconf.bsky.social, is that true?

So the solution to academic misconduct is to give the authors a chance to cover their tracks?

Also I want to thank all ICLR AC this year (I was only reviewer dodged a bullet) before potential grumpiness. It has been a crazy editorial process with some doing the work twice and your work is essential.

The good news is that we did not receive any ICLR rejects today. The bad is that we might start writing ICML papers on Monday😱.

NeurIPS reviewers typically review 6+ papers, each with 100 or so citations. The reviewers can't possibly check that every citation is real. But why don't we have an automated way to do this checking (and desk-rejecting if fake citations found) *before* the papers are sent to reviewers?