After several month, our work is out! π¦¬
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
29.04.2025 06:34 β π 9 π 4 π¬ 2 π 0
<proud advisor>
Hot off the arXiv! 𦬠"Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation" π Appa is our novel 1.5B-parameter probabilistic weather model that unifies reanalysis, filtering, and forecasting in a single framework. A thread π§΅
29.04.2025 04:48 β π 50 π 15 π¬ 2 π 3
Happy birthday! Enjoy!
26.04.2025 15:52 β π 1 π 0 π¬ 0 π 0
The greatest act of insider trading ever committed...
10.04.2025 13:42 β π 0 π 0 π¬ 0 π 0
π£ 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. π Three positions are open around deep learning, physics-informed FMs and inverse problems with FMs.
30.12.2024 12:21 β π 78 π 35 π¬ 4 π 4
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...
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 π―
Link π arxiv.org/abs/2412.06655
#RL #MaxEntRL #Exploration
13.12.2024 09:22 β π 8 π 4 π¬ 0 π 0
Great to see such engagement with your poster!
11.12.2024 22:35 β π 7 π 1 π¬ 0 π 1
I'll be in Vancouver from Dec 9 to Dec 16 to present our work at NeurIPS 2024 π¨π¦ 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!
07.12.2024 21:54 β π 24 π 4 π¬ 0 π 1
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 !
02.12.2024 17:27 β π 22 π 4 π¬ 0 π 0
Great! See you there!
21.11.2024 09:14 β π 0 π 0 π¬ 0 π 0
After weeks of coding, reviewing and debugging, our GPUs can finally go brrrr! Can't wait to see early results π
08.11.2024 18:40 β π 4 π 1 π¬ 0 π 1
La timeline de la rΓ©daction du Soir.
www.lesoir.be
Ph.D. student on generative models and domain adaptation for Earth observation π°
Previously intern @SonyCSL, @Ircam, @Inria
π Personal website: https://lebellig.github.io/
Community-maintained simulation-based inference (SBI) toolkit in PyTorch:
β’ NPE, NLE & NRE
β’ amortized and sequential inference
β’ wide range of diagnostics
Posts written by @deismic.bsky.social & @janboelts.bsky.social.
π https://github.com/sbi-dev/sbi
Research scientist, Inria. Statistical machine learning.
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU)
https://frellsen.org
Interested in aging, neuroimaging, and machine learning.
PhD student at Karolinska Institutet, NRU Rigshospitalet, and DIKU UCPH
PhD candidate ULiège - VKI - UCLouvain
Research Engineer at the GeoResources, Mineral Engineering, and Extractive Metallurgy Laboratory @ University of Liège (ULiège)
Researcher at Anthropic. Based in SF. Likes cats. smsharma.github.io.
Professor a NYU; Chief AI Scientist at Meta.
Researcher in AI, Machine Learning, Robotics, etc.
ACM Turing Award Laureate.
http://yann.lecun.com
Asst. Professor of Physics βͺat @uwmadison.bsky.social, AI for science researcher, performing artist/creative technologist.
PhD student working on ML for particle physics
Co-Founder & Chief Scientist @ Emmi AI. Ass. Prof / Group Lead @jkulinz. Former MSFTResearch, UvA_Amsterdam, CERN, TU_Wien
High Energy Physics/Machine Learning/Data Science Prof @tum.de www.lukasheinrich.com
PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI
https://www.annalenakofler.com
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
Associate Prof. in ML & Statistics at NUS πΈπ¬
MonteCarlo methods, probabilistic models, Inverse Problems, Optimization
https://alexxthiery.github.io/
In-depth, independent reporting to better understand the world, now on Bluesky. News tips? Share them here: http://nyti.ms/2FVHq9v