210 citations · 984 across the 29 of their papers we have counts for
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cs.LG2016★ 16 cited
Tensorial Mixture Models
Or Sharir, Ronen Tamari, Nadav Cohen +1
Casting neural networks in generative frameworks is a highly sought-after endeavor these days. Contemporary methods, such as Generative Adversarial Networks, capture some of the ge…
cs.NE2016★ 40 cited
Inductive Bias of Deep Convolutional Networks through Pooling Geometry
Nadav Cohen, Amnon Shashua
Our formal understanding of the inductive bias that drives the success of convolutional networks on computer vision tasks is limited. In particular, it is unclear what makes hypoth…
cs.NE2016★ 21 cited
Convolutional Rectifier Networks as Generalized Tensor Decompositions
Nadav Cohen, Amnon Shashua
Convolutional rectifier networks, i.e. convolutional neural networks with rectified linear activation and max or average pooling, are the cornerstone of modern deep learning. Howev…