Collaboration on the Theoretical Foundations of Deep Learning
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About
The Collaboration on the Theoretical Foundations of Deep Learning is a research initiative comprising eleven leaders from eight institutions, supported by the NSF and Simons Foundation. The initiative aims to understand the mathematical mechanisms behind the success of deep learning, assess its limitations, extend its applications, and explore emerging mathematical problems. Activities include postdoctoral and visiting programs, with significant outreach through workshops and a summer school hosted at the Simons Institute for the Theory of Computing at UC Berkeley.
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Features
• workshops and summer schools
• postdoctoral and visiting programs
• research funding from nsf and simons foundation
• theoretical understanding of deep learning
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