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Mike McCabe

@michael-mccabe.bsky.social

135 followers 475 following 11 posts

Machine learning/scientific computing researcher at Polymathic AI in the Flatiron Institute. he/him. Enjoys running, climbing, and pictures of really well camouflaged animals.

Posts Replies Media

Mike McCabe @michael-mccabe.bsky.social · 03/09/2025

Great work by @francois-rozet.bsky.social. Some really unexpected insights about compression in LDMs. It was such a privilege to have him with us @polymathicai.bsky.social!

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Mike McCabe @michael-mccabe.bsky.social · 10/12/2024

Heading off to #NeurIPS2024 today! Feel free to reach out if you're around to catch up! If you're interested, please visit our poster sessions tomorrow at 11 PST for MPP (neurips.cc/virtual/2024...) or on Thursday at 11 for the Well (neurips.cc/virtual/2024...).

neurips.cc

NeurIPS Poster Multiple Physics Pretraining for Spatiotemporal Surrogate ModelsNeurIPS 2024

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Mike McCabe @michael-mccabe.bsky.social · 02/12/2024

Thanks! We really admire the BlastNet projects as well and definitely see them as an influence.

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Mike McCabe @michael-mccabe.bsky.social · 02/12/2024

This was a huge collaborative effort with too many contributors to list in one post, but it wouldn't have been possible without all of our teammates @polymathicai.bsky.social and elsewhere. We hope that access to more realistic problems pushes the development of #AI4Science forward!

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Mike McCabe @michael-mccabe.bsky.social · 02/12/2024

and many more! All data in the Well is stored in a uniform format and whether its 2D or 3D it's accessible through the same API. The Well additionally includes benchmarking tools such as baseline models, tensor-aware augmentations, and metric implementations:

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Mike McCabe @michael-mccabe.bsky.social · 02/12/2024

To only recently described variations of non-Newtonian turbulence:

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Mike McCabe @michael-mccabe.bsky.social · 02/12/2024

to orientation-dependent forcings in biological systems:

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Mike McCabe @michael-mccabe.bsky.social · 02/12/2024

To high resolution vortices resulting from discontinuous initial conditions:

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Mike McCabe @michael-mccabe.bsky.social · 02/12/2024

The dataset contains a wide range of challenges from chemistry, biology, fluids, astrophysics including difficulties spanning from sharp discontinuities in the coefficient fields:

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Mike McCabe @michael-mccabe.bsky.social · 02/12/2024

The Well was curated in collaboration with domain experts and numerical software developers specifically to provide challenging dynamics reflective of practical scientific research while staying accessible to machine learning audiences in terms of resolution and geometry.

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Mike McCabe @michael-mccabe.bsky.social · 02/12/2024

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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