Matthias Pirlet
mapirlet.bsky.social
Matthias Pirlet
@mapirlet.bsky.social
PhD student @University of liege interested in inverse problems, energy markets
Reposted by Matthias Pirlet
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 🧵
April 29, 2025 at 6:34 AM
Reposted by Matthias Pirlet
<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 🧵
April 29, 2025 at 4:48 AM
The greatest act of insider trading ever committed...
“He made 2.5 million today and he made $900 million. That’s not bad.”

Sounds like market manipulation to me. That’s bad.
April 10, 2025 at 1:42 PM
Reposted by Matthias Pirlet
📣 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.
December 30, 2024 at 12:21 PM
Reposted by Matthias Pirlet
Check our work on max entropy RL! We introduce an off-policy method to maximize the entropy of the future state-action visitation distribution, leading to policies that explore effectively and achieve high performance 🎯

Link 📑 arxiv.org/abs/2412.06655

#RL #MaxEntRL #Exploration
Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures
We introduce a new maximum entropy reinforcement learning framework based on the distribution of states and actions visited by a policy. More precisely, an intrinsic reward function is added to the re...
arxiv.org
December 13, 2024 at 9:22 AM
Great to see such engagement with your poster!
December 11, 2024 at 10:35 PM
Reposted by Matthias Pirlet
I'll be in Vancouver from Dec 9 to Dec 16 to present our work at NeurIPS 2024 🇨🇦 If you want to talk about generative models, ML for science, open-source software, or bouldering, send me a DM, a comment or an email!
December 7, 2024 at 9:51 PM
Reposted by Matthias Pirlet
Deep learning can do more than generating cute cat pictures. It is a game changer for Science as a whole. But benchmarking DL methods on scientific data is complex ... until today!

I am super proud to have contributed to The Well as part of my internship at @polymathicai.bsky.social !
Generating cat videos is nice, but what if you could tackle real scientific problems with the same methods? 🧪🌌
Introducing The Well: 16 datasets (15TB) for Machine Learning, from astrophysics to fluid dynamics and biology.
🐙: github.com/PolymathicAI...
📜: openreview.net/pdf?id=00Sx5...
December 2, 2024 at 5:24 PM
Reposted by Matthias Pirlet
After weeks of coding, reviewing and debugging, our GPUs can finally go brrrr! Can't wait to see early results 👀
November 8, 2024 at 6:40 PM