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Antoine Wehenkel

@awehwe.bsky.social
621 followers 120 following 20 posts

ML + Physics + Health at . Exploring the interaction between scientific and ML models.

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Reposted by Antoine Wehenkel
Gilles Louppe @glouppe.bsky.social · 24/09/2026
Finally some good news today, Omer's last paper is accepted at NeurIPS! Well done @orochman.bsky.social :-)
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François-Xavier Briol @fxbriol.bsky.social · 28/08/2025
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-....
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Antoine Wehenkel @awehwe.bsky.social · 11/07/2025
Very excited about this 👇 Stay tuned for the call for papers and more info!! ☄️
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Antoine Wehenkel @awehwe.bsky.social · 03/07/2025
A true francophone!
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Gaspard Lambrechts @gsprd.be · 13/06/2025
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.
Cover page of the PhD thesis "Reinforcement Learning in Partially Observable Markov Decision Processes: Learning to Remember the Past by Learning to Predict the Future" by Gaspard Lambrechts
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Gaspard Lambrechts @gsprd.be · 09/06/2025
📝 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.
Slide showing three recent successes of reinforcement learning that have used an asymmetric actor-critic algorithm:
 - Magnetic Control of Tokamak Plasma through Deep RL (Degrave et al., 2022).
 - Champion-Level Drone Racing using Deep RL (Kaufmann et al., 2023).
 - A Super-Human Vision-Based RL Agent in Gran Turismo (Vasco et al., 2024).
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Gilles Louppe @glouppe.bsky.social · 04/06/2025
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!
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Antoine Wehenkel @awehwe.bsky.social · 04/06/2025
Génial! Est ce que ce sera enregistré?
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Antoine Wehenkel @awehwe.bsky.social · 02/06/2025
Huge thanks to my co-authors 🙏 Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Jörn Jacobsen, Marco Cuturi. We hope RoPE helps reframe model misspecification as a learning problem that requires real-world data to be solved.
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Antoine Wehenkel @awehwe.bsky.social · 02/06/2025
This is just the beginning. We hope RoPE pushes SBI toward: ✅ Embracing real-world constraints ✅ Blending domain knowledge + data ✅ Treating robust inference as a learning problem whose objective must be tight with the downstream application for the result of this inference
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Antoine Wehenkel @awehwe.bsky.social · 02/06/2025
Here’s what RoPE does: 1️⃣ Uses a small calibration set of real (x, θ) pairs 2️⃣ Learns a correction from simulated to real obs using optimal transport 3️⃣ Enables simulation-based inference you can actually trust
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Antoine Wehenkel @awehwe.bsky.social · 02/06/2025
That’s what motivated RoPE, our method being presented at ICML 2025 🎉 RoPE reframes misspecification as a posterior inaccuracy problem, not a simulator/data mismatch in contrast to how model misspecification is often defined in the literature.
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Antoine Wehenkel @awehwe.bsky.social · 02/06/2025
Humans design robust statistics by intuition. Neural SBI doesn’t — unless we teach it how. 🔑 Insight: To make SBI robust, show it real-world data. And use labeled data to trust the newly learnt inference pipeline.
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Antoine Wehenkel @awehwe.bsky.social · 02/06/2025
Why? Because inference method and simulator misspecification are deeply entangled. 🧠 Neural SBI often overfits to quirks in simulators. 🤔 Simpler methods (like ABC with handcrafted stats) often perform better when simulators are slightly wrong.
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Antoine Wehenkel @awehwe.bsky.social · 02/06/2025
SBI thrives in ideal settings — but what happens when simulators aren’t perfect? Real-world practitioners always ask: “But what if the simulator is off?” I used to think this was an issue related to the simulator and not to SBI. Now I believe this is the central issue with existing SBI algorithms.
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Antoine Wehenkel @awehwe.bsky.social · 02/06/2025
📣 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 ⬇️
arxiv.org
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
Driven by steady progress in deep generative modeling, simulation-based inference (SBI) has emerged as the workhorse for inferring the parameters of stochastic simulators. However, recent work has dem...
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François Rozet @francois-rozet.bsky.social · 23/05/2025
📢 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 🔁
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Gilles Louppe @glouppe.bsky.social · 23/05/2025
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
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Mackenzie Weygandt Mathis @trackingactions.bsky.social · 22/05/2025
But if my lab can help, please DM me.
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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 29/04/2025
Andry, Rozet, Lewin, Rochman, Mangeleer, Pirlet, Faulx, Gr\'egoire, Louppe: Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation arxiv.org/abs/2504.18720 arxiv.org/pdf/2504.18720 arxiv.org/html/2504.18720
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Saganism @sagan.bsky.social · 30/04/2025
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.
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Sander Dieleman @sedielem.bsky.social · 15/04/2025
New blog post: let's talk about latents! sander.ai/2025/04/15/l...
sander.ai
Generative modelling in latent space
Latent representations for generative models.
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Randall Munroe @xkcd.com · 08/04/2025
Tariffs xkcd.com/3073
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Marvin Schmitt @marvin-schmitt.com · 31/03/2025
Fantastic initiative by @serge.belongie.com and Søren Hauberg 🇪🇺🇩🇰 Please take a moment to answer through the poll below and share in your networks! 👇
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Marvin Schmitt @marvin-schmitt.com · 28/03/2025
AI is just a hoax by big IKEA to sell more bedrooms.
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Thomas Dietterich @tdietterich.bsky.social · 18/03/2025
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/
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Gilles Louppe @glouppe.bsky.social · 11/03/2025
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!
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ML for Science @ml4science.bsky.social · 06/03/2025
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
is.mpg.de
Neural network deciphers gravitational waves from merging neutron stars in a second | Max Planck Institute for Intelligent Systems
Binary neutron star mergers emit gravitational waves followed by light. To fully exploit these observations and avoid missing key signals, speed is crucial. In a study to be published in Nature on Mar...
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Gilles Louppe @glouppe.bsky.social · 05/03/2025
Now accepted at @tmlr-pub.bsky.social 🥳
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Sam Power @spmontecarlo.bsky.social · 20/02/2025
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.
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Gilles Louppe @glouppe.bsky.social · 06/02/2025
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.
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Gilles Louppe @glouppe.bsky.social · 06/02/2025
I am at the AI Action Summit today and tomorrow! Ping me if you are around! @polytechniqueparis.bsky.social
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Marco Cuturi @marcocuturi.bsky.social · 22/01/2025
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...
nature.com
Mapping cells through time and space with moscot - Nature
Moscot is an optimal transport approach that overcomes current limitations of similar methods to enable multimodal, scalable and consistent single-cell analyses of datasets across spatial and temporal...
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Jakob Macke @jakhmack.bsky.social · 20/01/2025
SBI hackathon is back! Join us in Tübingen for the 4th edition, make the toolbox better, brainstorm new direction, have fun!
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Gilles Louppe @glouppe.bsky.social · 17/01/2025
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.
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Jes Frellsen @jesfrellsen.bsky.social · 10/01/2025
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
gemss.ai
Generative Modeling Summer School (GeMSS)
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Antoine Wehenkel @awehwe.bsky.social · 31/12/2024
Postdoc as well 😊
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Janne Lappalainen @lappalainenjk.bsky.social · 30/12/2024
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
Screenshot of the docs at turagalab.github.io/flyvis
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Antoine Wehenkel @awehwe.bsky.social · 30/12/2024
The maxim “Knowledge is power” appears much more profound after reading this really cool blogpost 🤯 www.quantamagazine.org/what-is-entr...
quantamagazine.org
What Is Entropy? A Measure of Just How Little We Really Know. | Quanta Magazine
Exactly 200 years ago, a French engineer introduced an idea that would quantify the universe’s inexorable slide into decay. But entropy, as it’s currently understood, is less a fact about the world th...
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Antoine Wehenkel @awehwe.bsky.social · 30/12/2024
New exciting opportunities in Liège! ☀️❄️🌧️
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Antoine Wehenkel @awehwe.bsky.social · 20/12/2024
Congratulations!! Seems like a nice and well deserved Xmas gift!
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Joey Bose @joeybose.bsky.social · 18/12/2024
🔊 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👇 🧵
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Antoine Wehenkel @awehwe.bsky.social · 18/12/2024
Astonished at how many professional scientists do use parameter grids 🙃
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Andrew Gordon Wilson @andrewgwils.bsky.social · 18/12/2024
This is your monthly reminder that understanding deep learning does not require rethinking generalization, and it never did.
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Kyle Cranmer @kylecranmer.bsky.social · 16/12/2024
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
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Arnaud Doucet @arnauddoucet.bsky.social · 15/12/2024
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...
drive.google.com
BreimanLectureNeurIPS2024_Doucet.pdf
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Lukas Heinrich @lukasheinrich.com · 15/12/2024
Proud of Nicole Hartman running the show at the ML for Physical Sciences Workshop at NeurIPS happening today
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Antoine Wehenkel @awehwe.bsky.social · 12/12/2024
@neurips, where are the free eggs???
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Kyle Cranmer @kylecranmer.bsky.social · 11/12/2024
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
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Kyle Cranmer @kylecranmer.bsky.social · 10/12/2024
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/
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