Amit Daniely

activity

20152023

most citedDepth Separation for Neural Networks

17 citations · 61 across the 9 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

cs.LG2017★ 7 cited

Random Features for Compositional Kernels

Amit Daniely, Roy Frostig, Vineet Gupta +1

We describe and analyze a simple random feature scheme (RFS) from prescribed compositional kernels. The compositional kernels we use are inspired by the structure of convolutional…

cs.LG2017★ 17 cited

Depth Separation for Neural Networks

Amit Daniely

Let $f : S^{d - 1} \times S^{d - 1} \to S$ be a function of the form $f (x, x^{'}) = g (⟨ x, x^{'} ⟩)$ for $g:[-1,1]\to \mathb…