Learning Geometry and Topology via Multi-Chart Flows
arXiv:2505.24665v2 Announce Type: replace
Abstract: Real world data often lie on low-dimensional Riemannian manifolds embedded in high-dimensional spaces. This motivates learning degenerate normalizing flows that map between the ambient space and a lo…