12 citations · 67 across the 40 of their papers we have counts for
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cs.LG2019★ 2 cited
The Geometry of Deep Networks: Power Diagram Subdivision
Randall Balestriero, Romain Cosentino, Behnaam Aazhang +1
We study the geometry of deep (neural) networks (DNs) with piecewise affine and convex nonlinearities. The layers of such DNs have been shown to be {\em max-affine spline operators…
cs.LG2019★ 7 cited
Implicit Rugosity Regularization via Data Augmentation
Daniel LeJeune, Randall Balestriero, Hamid Javadi +1
Deep (neural) networks have been applied productively in a wide range of supervised and unsupervised learning tasks. Unlike classical machine learning algorithms, deep networks typ…