Hyper Input Convex Neural Networks for Shape Constrained Learning and Optimal Transport
arXiv:2604.26942v1 Announce Type: cross
Abstract: We introduce Hyper Input Convex Neural Networks (HyCNNs), a novel neural network architecture designed for learning convex functions. HyCNNs combine the principles of Maxout networks with input convex …