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 👇

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...

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

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 🚀

🧵 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.

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...

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...

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...

Researchers in NYC👇

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...

Hello World!