PolymathicAI

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PolymathicAI

PolymathicAI

@PolymathicAI

The Polymathic AI Collaboration. Shared account.

Katılım Eylül 2023
69 Takip Edilen3.7K Takipçiler
PolymathicAI
PolymathicAI@PolymathicAI·
Interested in building the next generation of foundation models for science? Join Polymathic in New York (NYU + Flatiron) for a postdoc. Topics include generalization/transfer, and solar physics. Gen-transfer: apply.interfolio.com/185111 Solar-physics: apply.interfolio.com/185110
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Siavash Golkar
Siavash Golkar@SiavashGolkar·
1/12 Introducing MIMIC: a SOTA foundation model trained natively across DNA, RNA and proteins. MIMIC is multimodal and generative: it can use structure, regulation, evolution, and experimental context to infer missing biology or design new sequences.
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Helen Qu
Helen Qu@_helenqu·
physical systems (orbits/fluid mechanics) may look complex, but are often governed by simple equations/few parameters. can current self-supervised methods learn the underlying physics? our new paper finds that learning in latent space may be the key! arxiv.org/abs/2603.13227🧵
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Shirley Ho
Shirley Ho@cosmo_shirley·
Join @PolymathicAI and @EmtiyazKhan and me to explore the world of frontier AI for science using new Bayesian techniques! We are looking for both postdoctoral fellows and research scientists! 🚀
Emtiyaz Khan@EmtiyazKhan

If you want to work with our group while living in New-York and also spend time in Tokyo and Germany!, check out the new positions available at the NYU and Flatiron Institute by @cosmo_shirley post-doc: apply.interfolio.com/184211 research-scientist: apply.interfolio.com/184213

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Nolan Koblischke
Nolan Koblischke@astro_nolan·
We built a semantic search engine for millions of galaxy images by having LLMs write the captions. These images are completely unlabeled, but our method enables astronomers to search for rare phenomena via text. Try our app! 🔭👇
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PolymathicAI
PolymathicAI@PolymathicAI·
Come see our poster or hear our talk about the largest multi-model for astrophysics 💫at @NeurIPSConf Poster: Friday Dec 5 11am-2pm (PT), Exhibit Hall CDE #2200 Talk: AI4Science Workshop: Sunday Dec 7 Upper Level Ballroom 20A !
Shirley Ho@cosmo_shirley

I’m excited to announce that @PolymathicAI new astrophysics model, AION-1, has been accepted to #neurips2025 ! 🎉 Come see our poster on Dec 5 (Friday) at 1-4pm PT, poster session 5 OR hear our talk from @liamhparker and Francois Lanusse at #AI4Science workshop It’s the first large-scale multimodal foundation model for astronomy!

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Shirley Ho
Shirley Ho@cosmo_shirley·
I’m excited to announce that @PolymathicAI new astrophysics model, AION-1, has been accepted to #neurips2025 ! 🎉 Come see our poster on Dec 5 (Friday) at 1-4pm PT, poster session 5 OR hear our talk from @liamhparker and Francois Lanusse at #AI4Science workshop It’s the first large-scale multimodal foundation model for astronomy!
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Shirley Ho
Shirley Ho@cosmo_shirley·
Latent diffusion Models are all the rage right now. But how far can we push it ? What happens if we use a very^3 small latent space? 🧐 Come find out at our @NeurIPSConf paper led by @FrancoisRozet Tomorrow (Thursday) in San Diego at 4:30-7:30pm at the Exhibit Hall CDE poster #2311 !
François Rozet@FrancoisRozet

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 👇

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Shirley Ho
Shirley Ho@cosmo_shirley·
Most real-life systems are only partially observed, whether it is our Earth, the sun, or the air flow in our house! So, how do we predict these dynamical systems if nothing is perfectly observed? Come join @PolymathicAI tomorrow (Thursday) at 4:30-7:30 PST at Exhibit Hall CDE #2213 at @NeurIPSConf at our poster on how to predict partially observed dynamical systems! -> A Multiscale Inference Scheme+ Diffusion! 🚀 Led by @rdMorel and @FrankPRCP !!
Rudy Morel@rdMorel

Partial observability is a key challenge in predicting physical systems, where only part of the state is observed. Check out our poster #2213 at #neurips2025 on Thu, Dec 4, 4:30pm! We propose a multiscale inference scheme for diffusion models to better predict these systems.

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Rudy Morel
Rudy Morel@rdMorel·
Partial observability is a key challenge in predicting physical systems, where only part of the state is observed. Check out our poster #2213 at #neurips2025 on Thu, Dec 4, 4:30pm! We propose a multiscale inference scheme for diffusion models to better predict these systems.
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Shirley Ho
Shirley Ho@cosmo_shirley·
So proud to see the culmination of effort led by @mikemccabe210 @PayelMukhopadh3 @__tm__157 @BrunoRegaldo @FrancoisRozet along with the amazing team at @PolymathicAI to produce The first "Polymathic"/cross-disciplinary AI model for fluid dynamics! We started with creating The Well, the first internet scale of fluids dataset co-led by @mikemccabe210 and @oharub with the goal of creating the first cross-disciplinary fluid model! Now it is here, and we are lovingly naming it the Polymathic Walrus 😁!
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Mike McCabe@mikemccabe210

1/ Today with my colleagues @PolymathicAI, I'm excited to release our latest project, Walrus, a cross-domain foundation model for physical dynamics, into the world. polymathic-ai.org/blog/walrus/ Paper: arxiv.org/abs/2511.15684 Git: github.com/PolymathicAI/w… HF: huggingface.co/polymathic-ai/…

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PolymathicAI
PolymathicAI@PolymathicAI·
RT @cosmo_shirley: Extremely proud and honored to be named among the great minds of Schmidt Sciences AI2050 Senior fellows! A special sh…
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Miles Cranmer
Miles Cranmer@MilesCranmer·
PolymathicAI is recruiting two postdoctoral researchers to join our team at Cambridge, to work on building and understanding large-scale foundation models for science. Please share with potential candidates!
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François Rozet
François Rozet@FrancoisRozet·
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 👇
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PolymathicAI
PolymathicAI@PolymathicAI·
Polymathic AI is proud of our advisor @hardmaru for being selected for the @TIME 100 AI list ! Congratulations @hardmaru and @SakanaAILabs !
Sakana AI@SakanaAILabs

TIME誌が選ぶ「TIME 100 AI」に、Sakana AIのCEOを選出いただきました。ご期待に感謝するとともに、日本でフロンティアAI企業を構築するというビジョンに向け、今後も邁進してまいります。 time.com/collections/ti… Sakana AIの目指す姿は、先日のイベントでCEOが語りました。併せてご覧ください。

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Shirley Ho
Shirley Ho@cosmo_shirley·
Want to predict the future of our own star? The Sun! Build with us at @PolymathicAI! New postdoctoral fellowship position in AI X Solar Physics! 🌞 Deadline to apply: Feb 15, 2025 apply.interfolio.com/161867
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Shirley Ho
Shirley Ho@cosmo_shirley·
You saw our AstroCLIP, and have heard of MultiModal Universe! Now, come build and scale Foundation models for Astrophysics with us at @PolymathicAI! Check this out: aas.org/jobregister/ad… Deadline: Feb 14, 2025!
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