Hyper Input Convex Neural Networks for Shape Constrained Learning and Optimal Transport

Shayan Hundrieser, Insung Kong, Johannes Schmidt-Hieber

We introduce Hyper Input Convex Neural Networks (HyCNNs), a novel neural network architecture designed for learning convex functions. HyCNNs combine the principles of Maxout networ…