Input Convex Neural Networks

ICML 2017 Brandon AmosLei XuJ. Zico Kolter

This paper presents the input convex neural network architecture. These are scalar-valued (potentially deep) neural networks with constraints on the network parameters such that the output of the network is a convex function of (some of) the inputs... (read more)

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