iiinova — where your digital self keeps evolving

Reposted by Sacha Lewin

julienbrandoit.bsky.social @julienbrandoit.bsky.social · 07/12/2025

Why can neurons with completely different ion channels fire identically? 🧠 Neuronal degeneracy isn't a bug - it's a feature. Come see how we reconstruct entire degenerate populations from spike times within an interpretable feedback framework. Poster @dataonbrainmind.bsky.social #NeurIPS2025 #DBM

0134

Reposted by Sacha Lewin

Gérôme Andry @Neurips2025 @gandry.bsky.social · 06/12/2025

If you are interested in diffusion models for dynamical systems and posterior inference, stop by our poster at ML4PS workshop (@neuripsconf.bsky.social) at 11am! Come and see how we apply modern methods to the challenging field of global weather inference!

1145

Reposted by Sacha Lewin

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

At the #ML4PS workshop, @gandry.bsky.social and @sachalewin.bsky.social will present Appa, our large weather model for global data assimilation. Appa differs from other weather models in that it can do reanalysis, nowcasting and forecasting within the same framework. arxiv.org/abs/2504.18720

151

Reposted by Sacha Lewin

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

1207

Reposted by Sacha Lewin

Omer Rochman @orochman.bsky.social · 03/06/2025

Finally released the code for NeuralMPM! 🎉 Mad props to my colleagues @sachalewin.bsky.social and @glouppe.bsky.social github.com/OmerRochman/...

022

Reposted by Sacha Lewin

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

146

Reposted by Sacha Lewin

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

294

Reposted by Sacha Lewin

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 🧵

25215

Reposted by Sacha Lewin

Gilles Louppe @glouppe.bsky.social · 26/04/2025

"Thank you for submitting your work to arXiv." Time to enjoy the weekend now ☀️

1131

Reposted by Sacha Lewin

Gabriel Peyré @gabrielpeyre.bsky.social · 15/01/2025

Slides for a general introduction to the use of Optimal Transport methods in learning, with an emphasis on diffusion models, flow matching, training 2 layers neural networks and deep transformers. speakerdeck.com/gpeyre/optim...

312427

Reposted by Sacha Lewin

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.

47934

Reposted by Sacha Lewin

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

1375