iiinova — where your digital self keeps evolving

Reposted by Omer Rochman

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 :-)

Omer Rochman @orochman.bsky.social · 27/11/2025

I will be in San Diego next week for @neuripsconf.bsky.social. Reach out to chat about AI, science, or anything really :)

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Reposted by Omer Rochman

Gilles Louppe @glouppe.bsky.social · 27/11/2025

Our Montefiore Science with AI lab will be at #NeurIPS2025 presenting 1 paper at the main conference and 3 papers at workshops. If you are attending, feel free to reach out with the crew to discuss science, AI, or just to say hi! (I won't attend this year unfortunately 🌱)

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Reposted by Omer Rochman

Gérôme Andry @Neurips2025 @gandry.bsky.social · 08/10/2025

🚀 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...

github.com

GitHub - montefiore-sail/appa: Code for the publication "Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation".

Code for the publication "Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation". - montefiore-sail/appa

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Reposted by Omer Rochman

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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Reposted by Omer Rochman

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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Omer Rochman @orochman.bsky.social · 29/04/2025

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

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Reposted by Omer Rochman

Gérôme Andry @Neurips2025 @gandry.bsky.social · 29/04/2025

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

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Reposted by Omer Rochman

Gilles Louppe @glouppe.bsky.social · 29/04/2025

<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 🧵

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Reposted by Omer Rochman

Gérôme Andry @Neurips2025 @gandry.bsky.social · 09/04/2025

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

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Reposted by Omer Rochman

TMLR Published Papers @tmlr-pub.bsky.social · 22/03/2025

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

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Reposted by Omer Rochman

Gilles Louppe @glouppe.bsky.social · 05/03/2025

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

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Reposted by Omer Rochman

ECMWF @ecmwf.int · 25/02/2025

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

Background of world map with grid overlaid. Text: "AIFS operational"

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Reposted by Omer Rochman

François Rozet @francois-rozet.bsky.social · 15/02/2025

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...

gist.github.com

A clean and fast implementation of SOAP in PyTorch

A clean and fast implementation of SOAP in PyTorch - savon.py

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Reposted by Omer Rochman

Gilles Louppe @glouppe.bsky.social · 30/12/2024

📣 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.

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Reposted by Omer Rochman

Gérôme Andry @Neurips2025 @gandry.bsky.social · 29/11/2024

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

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Reposted by Omer Rochman

Gilles Louppe @glouppe.bsky.social · 18/11/2024

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

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