565 citations · 612 across the 9 of their papers we have counts for
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stat.ML2020★ 4 cited
Deep Networks and the Multiple Manifold Problem
Sam Buchanan, Dar Gilboa, John Wright
We study the multiple manifold problem, a binary classification task modeled on applications in machine vision, in which a deep fully-connected neural network is trained to separat…
cs.LG2020★ 5 cited
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?
Yaniv Blumenfeld, Dar Gilboa, Daniel Soudry
Deep neural networks are typically initialized with random weights, with variances chosen to facilitate signal propagation and stable gradients. It is also believed that diversity…