🚀 After more than a year of work — and many great discussions with curious minds & domain experts — we’re excited to announce the public release of 𝐀𝐩𝐩𝐚, our latent diffusion model for global data assimilation! Check the repo and the complete wiki! github.com/montefiore-s...

🏹 Job alert: PhD/postdoc positions in Scientific Foundation Models at the University of Liège (Belgium) 📍 Liège 🇧🇪 🔗 More info: https://bit.ly/43SJtUG

📢 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 🔁

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

Very proud of the whole team for achieving this, it was an absolute pleasure to participate in this project! Kudos everyone 🍻!

After several month, our work is out! 🦬 Look at our new paper with the team! Thanks to all of them!! @glouppe.bsky.social @sachalewin.bsky.social @francois-rozet.bsky.social @orochman.bsky.social @mapirlet.bsky.social Victor Mangeleer Elise Faulx

<proud advisor> Hot off the arXiv! 🦬 "Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation" 🌍 Appa is our novel 1.5B-parameter probabilistic weather model that unifies reanalysis, filtering, and forecasting in a single framework. A thread 🧵

Let's start this workshop @ecmwf.int about data assimilation! 🌍

A Neural Material Point Method for Particle-based Emulation Omer Rochman-Sharabi, Sacha Lewin, Gilles Louppe Action editor: Kamyar Azizzadenesheli https://openreview.net/forum?id=zSK81A2hxQ #neuralmpm #simulations #fluids

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

We have taken our Artificial Intelligence Forecasting System (AIFS) into operations today to run side by side with our physics-based weather forecasts. The #AIFS outperforms traditional models for many measures, at a fraction of energy use. ➡️ www.ecmwf.int/en/about/med... #AI #MachineLearning

For anyone interested in trying a higher-order optimizer, here is a clean and fast implementation of SOAP 🧼 in PyTorch, with support for low-precision. I recommend using the same learning rate as you would for AdamW. gist.github.com/francois-roz...

📣 Hiring! I am looking for PhD/postdoc candidates to work on foundation models for science at @ULiege, with a special focus on weather and climate systems. 🌏 Three positions are open around deep learning, physics-informed FMs and inverse problems with FMs.

So much work """just""" for an autoencoder... 🤯😵

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