Landing with the Score: Riemannian Optimization through Denoising

Andrey Kharitenko, Zebang Shen, Riccardo de Santi +2

Under the data manifold hypothesis, high-dimensional data are concentrated near a low-dimensional manifold. We study the problem of Riemannian optimization over such manifolds when…