The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
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Sho Yaida (https://shoyaida.com) is currently a Research Scientist at Meta AI. Prior to joining Meta AI, he obtained his Ph.D. in physics at Stanford University -- where he studied physics of black holes and strongly correlated systems -- and held postdoctoral positions at MIT and at Duke University -- where he studied physics of glasses. At Meta AI, he studies physics of machine learning.
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