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Overview

Alexander A. Alemi. I work at Anthropic. Formerly at Google Deepmind and Disney Research. My current focus is Scaling and the intersection of Information Theory and Deep Learning. I got my Ph.D. in Theoretical Condensed Matter Physics at Cornell University, supervised by Jim Sethna. I got my B.S.

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Blog 6 months ago
Information Theory for Representation Learning
An overview of how information theoretic principles motivate and advance representation learning, combining variational bounds on mutual information with deep neural networks across unsupervised, supervised, Bayesian, and predictive settings. / Emory TBIO
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Podcast 10 months ago
EP15: The Information Bottleneck and Scaling Laws with Alex Alemi
I appeared on an episode of the Information Bottleneck Podcast and talked about scaling laws. / Information Bottleneck Podcast
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Blog 2 years ago
Scaling Exponents Across Parameterizations and Optimizers
Understanding parameterizations and how to scale them. / K Everett, L Xiao, M Wortsman, AA Alemi, R Novak, PJ Liu, I Gur, J Sohl-Dickstein, LP Kaelbling, J Lee, J Pennington / 2407.05872 / ICML 2024
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