ARTFEED — Contemporary Art Intelligence

Flow Matching on Riemannian Symmetric Spaces

other · 2026-05-07

A novel framework is designed to train flow matching models within Riemannian symmetric spaces, including spheres, hyperbolic spaces, and Grassmannians. This method redefines the challenge as flow matching within a subspace of the Lie algebra associated with the isometry group, thereby streamlining the management of geodesics. An example of this application is showcased on real Grassmannians SO(n)/SO(k)×SO(n−k).

Key facts

  • Framework introduced for flow matching on Riemannian symmetric spaces
  • Class of manifolds includes sphere, hyperbolic space, Grassmannians
  • Algebraic structure exploited to reformulate as flow matching on Lie algebra subspace
  • Simplifies handling of geodesics
  • Application shown on real Grassmannians SO(n)/SO(k)×SO(n−k)

Entities

Institutions

  • arXiv

Sources