Parametrizing Convex Sets Using Sublinear Neural Networks
arXiv:2605.03520v1 Announce Type: cross
Abstract: We propose a neural parameterization of convex sets by learning sublinear (positively homogeneous and convex) functions. Our networks implicitly represent both the support and gauge functions of a conv…