Past Member
Nadav Cohen
Funding provided by Eric and Wendy Schmidt
From
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Nadav Cohen’s research focuses on the theoretical and algorithmic foundations of deep learning. In particular, he is interested in the application of tensor analysis for the study of convolutional network architectures.
Dates at IAS
Member
School of Mathematics
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Degrees
The Hebrew University of Jerusalem
Ph.D.
2017
Honors
2017
Zuckerman Postdoctoral Fellowship
2017
Rothschild Postdoctoral Fellowship
2015
Google Doctoral Fellowship in Machine Learning
