Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs

Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak +1

In numerous robotics and mechanical engineering applications, among others, data is often constrained on smooth manifolds due to the presence of rotational degrees of freedom. Comm…