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Francisco Acosta
@hopfbifurcator
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PhD candidate @UCSBPhysics @geometric_intel lab | geometry, dynamics, AI, brains | prev physics @MIT | AI researcher @atmo_ai
San Francisco, CA
Joined April 2014
RT @AToliasLab: With Nvidia’s shares plummeting by ~17% and other big tech taking hits, today alone saw a market value loss exceeding $589…
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@Maze_s_Center I like those! I was thinking something like "Data-Driven Modeling of Complex Systems", but that doesn't really roll of the tongue.
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RT @YizhouLiu0: Resource competition can lead to instabilities and potentially catastrophes. How can we identify the critical transition fo…
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RT @mathildepapillo: Math friends! I am at JMM in Seattle all week, feel free to reach out🍩 To learn more about Topological Deep Learning,…
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RT @atmo_ai: High winds fueled LA’s Palisades Fire, devastating families, including our own at Atmo. Our ultraprecise wind forecasts, used…
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RT @wredman4: 🚨 new paper out in Chaos "Koopman Learning with Episodic Memory"! Really excited about this work and,…
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RT @ninamiolane: Happy New Year🎉 Thrilled to start 2025 with a $1M award from @cziscience @ChanZuckerberg to study the maternal brain usin…
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RT @ScribbleVC: Why are your weather reports often so wrong? Because systems haven't materially changed in 70+ years. Now w/ AI systems l…
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RT @naturecomputes: Enigma's at NeurIPS - come find us. New jobs posted on our website for research scientists & engineers in multi-modal m…
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RT @geogristle: i know every programming language and have done everything you can do with a computer. computers are only useful for eigenv…
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Incredibly bullish on the @newtheoryai team: applying mathematical principles from neuroscience and geometric deep learning to go beyond transformers. Check them out!
Excited to talk with the community about what we've been working on! Co-founding @newtheoryai with @colin_odonnell to build new foundational architectures for intelligence. Come join us at #NeurIPS in Vancouver this week for our soft-launch event 🎊🥂
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RT @proneat: Our work on Extremely Efficient Fine-Tuning of LLMs (LoRA-Silver Bullet) is out! tldr: we outperform LoRA for fine-tuning with…
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@norabelrose I think the physics of a system (the rules that govern its behavior and time evolution) depends on the level of coarse-graining you choose. Maybe deep learning is better than humans at finding the right representation to simulate the system
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RT @drmichaellevin: Bingo! This is what our lab has been working on for 20 years; here are some details for those who want to see how the…
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RT @ninamiolane: Grateful to see these important ideas highlighted!🙌 Medicine has been built around the "one size fits all" idea, but that…
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