Learning Invariances with Generalised Input-Convex Neural Networks

Vitali Nesterov, Fabricio Arend Torres, Monika Nagy-Huber +2

Considering smooth mappings from input vectors to continuous targets, our goal is to characterise subspaces of the input domain, which are invariant under such mappings. Thus, we w…