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I'll be at #NeurIPS2024 this week, presenting our work tomorrow on the mechanisms of warmup! openreview.net/forum?id=NVl4S… 📍 West Ballroom A-D (#5907) 📅 Wed, Dec 11 ⏰ 4:30 PM - 7:30 PM PST Looking forward to engaging discussions!

Overall, I believe it is imperative to pursue a new unified Science of Intelligence that can help us understand and improve both biological and artificial systems alike. It must be done out in the open and will depend crucially on public investment in fundamental science. Such

This is a bizarre headline from the The New York Times , given that the nature paper published today does not make this bold claim at all. If a topological qubit were ever actually demonstrated, it would be a pinnacle of human achievement. But today is apparently not the day.

Where would we as a society be without math? It is a travesty that our entire public investment in math is ONLY $250M (0.004% of federal budget) given ROI is incredible. Examples: 1) elliptic curves -> cryptography 2) error correcting codes -> communication 3) information

Adam is one of the most popular optimization algorithms in deep learning but it is very memory intensive. We did some analysis to understand how much of the second moment information can be compressed, leading to SlimAdam. Thanks Dayal Kalra John Kirchenbauer Tom Goldstein

Chetan Nayak overviews unpublished results by Microsoft Research on Majorana qubits.

Excited to share our paper "Universal Sharpness Dynamics..." is accepted to #ICLR2025! Neural net training exhibits rich curvature (sharpness) dynamics (sharpness reduction, progressive sharpening, Edge of Stability)- but why?🤔 We show that a minimal model captures it all! 1/n

well said Dmitry Krotov