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-....

Very excited about this 👇 Stay tuned for the call for papers and more info!! ☄️

Two months after my PhD defense on RL in POMDP, I finally uploaded the final version of my thesis :) You can find it here: hdl.handle.net/2268/328700 (manuscript and slides). Many thanks to my advisors and to the jury members.

📝 Our paper "A Theoretical Justification for Asymmetric Actor-Critic Algorithms" was accepted at #ICML! Never heard of "asymmetric actor-critic" algorithms? Yet, many successful #RL applications use them (see image). But these algorithms are not fully understood. Below, we provide some insights.

Positions remain open! Both PhD and postdoctoral opportunities are available on scientific foundation models. An additional position is also available on AI for regional climate models (jointly with @xavierfettweis.bsky.social). Do not hesitate to apply!

📣 New paper alert — To be presented at ICML 2025! arxiv.org/abs/2405.08719 What does it really mean for a simulator to be misspecified, if our goal is to estimate parameters with calibrated uncertainty? A 🧵on our new method, RoPE, and what it means for real-world SBI ⬇️

📢 I am looking for AI post-doc/research/engineer positions in Europe (Paris, London, Zurich, ...) starting 2026. My work revolves around generative modeling and AI for Science, with 4+ publications at top conferences during my PhD. If you are hiring, please reach out! If not, please repost 🔁

I can't recommend @francois-rozet.bsky.social enough👇He is both this excellent researcher and coder that any ML team would dream having onboard CC: @danilojrezende.bsky.social @awehwe.bsky.social @bkmi.bsky.social @yann-lecun.bsky.social @johannbrehmer.bsky.social

But if my lab can help, please DM me.

Andry, Rozet, Lewin, Rochman, Mangeleer, Pirlet, Faulx, Gr\'egoire, Louppe: Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation https://arxiv.org/abs/2504.18720 https://arxiv.org/pdf/2504.18720 https://arxiv.org/html/2504.18720

This is from The Tonight Show with Johnny Carson aired on May 20th, 1977. Carl Sagan says something very important, a strong message that didn't lose any validity since then.

New blog post: let's talk about latents! sander.ai/2025/04/15/l...

Tariffs xkcd.com/3073

Fantastic initiative by @serge.belongie.com and Søren Hauberg 🇪🇺🇩🇰 Please take a moment to answer through the poll below and share in your networks! 👇

AI is just a hoax by big IKEA to sell more bedrooms.

This remains important today. As industry places huge financial bets on large language models, the research community needs to investigate other approaches that may achieve similar or better results via entirely different methods. end/

The two postdoctoral positions remain open! (the PhD position has been filled) Applications from deep learning researchers or atmospheric scientists are welcome! Ping me if you have any questions!

Great work led by @maximiliandax.bsky.social now out in @nature.com: Neural network deciphers gravitational waves from merging neutron stars in a second - new method could be instrumental in preparing the field for the next generation of observatories: is.mpg.de/news/neural-... #AIforScience 1/2

Now accepted at @tmlr-pub.bsky.social 🥳

Reading the recent literature on "neural samplers" is an odd experience. There's a lot of attention drifting towards it (conceivably prompted by the increased attention on diffusion models and the like), and so many people are trying many things. It's a different way of thinking about things to me.

Old is new. It's funny how so many ideas from what some call "good old-fashioned AI" keep resurfacing! My advice: revisit Russel and Norvig's book with 2025 deep learning.

I am at the AI Action Summit today and tomorrow! Ping me if you are around! @polytechniqueparis.bsky.social

Today is a great day for optimal transport 🎉! Lots of gratitude 🙏 for all folks who contributed to ott-jax.readthedocs.io and pushed for the MOSCOT (now @ nature!) paper, from visionaries @dominik1klein.bsky.social, G. Palla, Z. Piran to the magician, Michal Klein! ❤️ www.nature.com/articles/s41...

SBI hackathon is back! Join us in Tübingen for the 4th edition, make the toolbox better, brainstorm new direction, have fun!

What channels would you recommend for sharing PhD/post-doc position offers? The theme is foundation models for the physical sciences, with weather as a specific target.

Excited about 🎓 Generative Modeling Summer School / Statlearn 🗓️ Mar 31 - Apr 4, 2025, France ℹ️ gemss.ai 🎟️ Deadline: Jan 27, 2025 🧑‍🏫 Yingzhen Li, @stephanmandt.bsky.social, Aude Sportisse, Anna Korba, @glouppe.bsky.social, @jesfrellsen.bsky.social, @pamattei.bsky.social, @jmtomczak.bsky.social, TBA

Ever wanted to do deep learning with a neural net that is one-to-one mapped to 65.05% of the fruit fly brain? 😄 Before this year ends, I will quickly advertise our code release of `flyvis.` Docs: t.ly/YqWzR Repo: t.ly/pMWpp Work with @jakhmack.bsky.social, @srinituraga.bsky.social and colleagues

The maxim “Knowledge is power” appears much more profound after reading this really cool blogpost 🤯 www.quantamagazine.org/what-is-entr...

New exciting opportunities in Liège! ☀️❄️🌧️

🔊 Super excited to announce the first ever Frontiers of Probabilistic Inference: Learning meets Sampling workshop at #ICLR2025 @iclr-conf.bsky.social! 🔗 website: sites.google.com/view/fpiwork... 🔥 Call for papers: sites.google.com/view/fpiwork... more details in thread below👇 🧵

Astonished at how many professional scientists do use parameter grids 🙃

This is your monthly reminder that understanding deep learning does not require rethinking generalization, and it never did.

Got a photo with a nice branch of my academic family tree: @awehwe.bsky.social @glouppe.bsky.social @smsharma.bsky.social @lukasheinrich.com Nicole Hartman @annalenakofler.bsky.social

The slides of my NeurIPS lecture "From Diffusion Models to Schrödinger Bridges - Generative Modeling meets Optimal Transport" can be found here drive.google.com/file/d/1eLa3...

Proud of Nicole Hartman running the show at the ML for Physical Sciences Workshop at NeurIPS happening today

@neurips, where are the free eggs???

I love that this post has more than 2 times more likes / reposts than the same one on X despite having more than 4x the number of followers on X

The papers and posters for our Machine Learning and Physical Sciences workshop at #NeurIPS2024 are online #ml4ps2024. Come check it out on Sunday ml4physicalsciences.github.io/2024/

or at the unireps workshop (unireps.org/2024/schedule). We have a few open positions currently at MLR (Paris office) for internships, short-term post-docs, & FTE. Looking forward to the conference this year! PS: I will bring my squash racket, LMK if you are interested in playing :)

From boat shows to Taylor Swift concerts, NeurIPS is really getting fancier and fancier 🧚🏼‍♂️

What are your strategies to organize the job search process for research positions in academia and industry? I’m on the job market and I’d like to have a single source of truth with the details of all relevant positions. Spreadsheet? Notion? …? @academic-chatter.bsky.social #AcademicSky #MLSky

Good, published, benchmarks of machine learning / data science is crucial. But so hard. Well-cited "SOTA" methods typically crash often. They tend to be very computational expensive. Both make a systematic study impossible. Finally, reviewers always ask for more methods, and more "SOTA".

I've created a startepack on Generative Modeling: go.bsky.app/Hd9ykTw

Sharing this again, to cheer up my students after rough #ICLR2025 reviews. We present NeuralMPM, a neural emulation framework for particle-based simulations. Full paper at arxiv.org/abs/2408.15753

I created a starter pack for simulation-based inference (aka. likelihood-free inference). Let me know if you’d like me to add you. go.bsky.app/GVnJRoK