Timo Neumeier

Compression of Polyconvex Envelopes of Isotropic Functions via Monotonic Input Convex Neural Networks

ABSTRACT This work presents a novel neural‐network compression approach for polyconvex envelopes of isotropic functions. The approach relies on a classical sufficient criterion for polyconvexity and is particularly suited for the representation of determinant‐constrained energy d...