cs.LG, hep-th, math.DG

PINNs in More General Geometry

arXiv:2604.25020v1 Announce Type: cross
Abstract: Neural architectures trained with losses inspired by differential conditions are the basis for PINN models. Since many constructions in differential geometry may be framed as minimisation of a differen…