Riemannian AmbientFlow

New framework learns generative models and data manifolds from corrupted data

Researchers have developed Riemannian AmbientFlow, a new framework designed to simultaneously learn generative models and underlying data manifold structures from corrupted or noisy observations. This approach integrate…