Ruben Ohana
rubenohana.bsky.social
Ruben Ohana
@rubenohana.bsky.social
Senior Research Scientist at NVIDIA | Computer Vision | AI for science
Pinned
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...
Reposted by Ruben Ohana
Does a smaller latent space lead to worse generation in latent diffusion models? Not necessarily! We show that LDMs are extremely robust to a wide range of compression rates (10-1000x) in the context of physics emulation.

We got lost in latent space. Join us 👇
September 3, 2025 at 1:40 PM
Reposted by Ruben Ohana
The Well was featured in a LANL press release! This is a huge dataset designed for training scientific #AI and foundation models. The #HPC simulations of neutron star mergers, some of the most energetic events in the universe, we're my contribution. ⚛️🔭🧪👇
www.lanl.gov/media/news/1...
Neutron star mergers contribute to AI training models | LANL
Neutron star merger simulations developed at Los Alamos National Laboratory are making important contributions to a collaborative initiative, Polymathic AI, which is training artificial intelligence m...
www.lanl.gov
December 12, 2024 at 3:48 PM
I will be attending #NeurIPS2024! Feel free to ping me or the @polymathicai.bsky.social team if you want to chat about The Well 🥤or MPP 🚤! And since you like eye-catchy scientific gifs, here is a Rayleigh-Bénard convection one 😁
🥤: arxiv.org/abs/2412.00568
🚤: arxiv.org/abs/2310.02994
December 6, 2024 at 3:45 AM
Reposted by Ruben Ohana
Amazing work! A big physics-informed ML dataset with actually relevant problems, created in cooperation with domain experts. It‘s time to finally move on from 1D Burgers‘ equations 🚀
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 3, 2024 at 8:37 AM
Reposted by Ruben Ohana
🧵 Today with @polymathicai.bsky.social and others we're releasing two massive datasets that span dozens of fields - from bacterial growth to supernova!

We want this to enable multi-disciplinary foundation model research.
December 2, 2024 at 7:46 PM
Reposted by Ruben Ohana
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 4:08 PM
Reposted by Ruben Ohana
Today along with my project co-lead @rubenohana.bsky.social and the team at @polymathicai.bsky.social I'm excited to announce the release of the Well, a 15TB collection of 15+ datasets for physical simulation.

Paper: openreview.net/pdf?id=00Sx5...
Github: github.com/PolymathicAI...
December 2, 2024 at 5:33 PM
Reposted by Ruben Ohana
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
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 4:08 PM
Reposted by Ruben Ohana
Researchers in NYC👇
I did a starter pack of people in New York (City) working on ML/AI. Please distribute and feel free to self nominate!

go.bsky.app/BoEtagz
November 19, 2024 at 2:41 PM
Reposted by Ruben Ohana
Research fellowships at the Flatiron Institute's Center for Computational Mathematics in NYC: apply.interfolio.com/155357

Machine learning @ CCM is growing! users.flatironinstitute.org/~lsaul/ml_cc...

We work with many others in the sciences across FI: www.simonsfoundation.org/flatiron/mac...
Machine Learning at the Flatiron Institute
Machine Learning at the Flatiron Institute on Simons Foundation
www.simonsfoundation.org
November 18, 2024 at 1:49 PM
Reposted by Ruben Ohana
Hello World!
November 18, 2024 at 7:18 PM