Ruben Ohana
@rubenohana.bsky.social
π€ 321
π₯ 99
π 9
Senior Research Scientist at NVIDIA | Computer Vision | AI for science
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Generating cat videos is nice, but what if you could tackle real scientific problems with the same methods? π§ͺπ Introducing The Well: 16 datasets (15TB) for Machine Learning, from astrophysics to fluid dynamics and biology. π:
github.com/PolymathicAI...
π:
openreview.net/pdf?id=00Sx5...
11 months ago
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Ruben Ohana
FranΓ§ois Rozet
2 months ago
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 π
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Jonah Miller
11 months ago
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. βοΈππ§ͺπ
www.lanl.gov/media/news/1...
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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...
https://www.lanl.gov/media/news/1211-neutron-star-mergers
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I will be attending
#NeurIPS2024
! Feel free to ping me or the
@polymathicai.bsky.social
team if you want to chat about The Well π₯€or MPP π€! And since you like eye-catchy scientific gifs, here is a Rayleigh-BΓ©nard convection one π π₯€:
arxiv.org/abs/2412.00568
π€:
arxiv.org/abs/2310.02994
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11 months ago
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Tim Weiland
11 months ago
Amazing work! A big physics-informed ML dataset with actually relevant problems, created in cooperation with domain experts. Itβs time to finally move on from 1D Burgersβ equations π
add a skeleton here at some point
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Miles Cranmer
11 months ago
π§΅ 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.
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Ruben Ohana
Generating cat videos is nice, but what if you could tackle real scientific problems with the same methods? π§ͺπ Introducing The Well: 16 datasets (15TB) for Machine Learning, from astrophysics to fluid dynamics and biology. π:
github.com/PolymathicAI...
π:
openreview.net/pdf?id=00Sx5...
11 months ago
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Mike McCabe
11 months ago
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...
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FranΓ§ois Rozet
11 months ago
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
!
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Generating cat videos is nice, but what if you could tackle real scientific problems with the same methods? π§ͺπ Introducing The Well: 16 datasets (15TB) for Machine Learning, from astrophysics to fluid dynamics and biology. π:
github.com/PolymathicAI...
π:
openreview.net/pdf?id=00Sx5...
11 months ago
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Ruben Ohana
Diana Cai
12 months ago
Researchers in NYCπ
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Ruben Ohana
Diana Cai
12 months ago
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...
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Machine Learning at the Flatiron Institute
Machine Learning at the Flatiron Institute on Simons Foundation
https://www.simonsfoundation.org/flatiron/machine-learning-at-the-flatiron-institute/
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Ruben Ohana
PolymathicAI
12 months ago
Hello World!
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