11 citations · 11 across the 3 of their papers we have counts for
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cs.LG2018
Empirical Bounds on Linear Regions of Deep Rectifier Networks
Thiago Serra, Srikumar Ramalingam
We can compare the expressiveness of neural networks that use rectified linear units (ReLUs) by the number of linear regions, which reflect the number of pieces of the piecewise li…
math.OC2018
How Could Polyhedral Theory Harness Deep Learning?
Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam
The holy grail of deep learning is to come up with an automatic method to design optimal architectures for different applications. In other words, how can we effectively dimension…