1 code implementation • 26 Jan 2024 • Andrew Gracyk
We present a manifold-based autoencoder method for learning nonlinear dynamics in time, notably partial differential equations (PDEs), in which the manifold latent space evolves according to Ricci flow.
no code implementations • 28 Sep 2022 • Andrew Gracyk, Xiaohui Chen
Optimal transport (OT) offers a versatile framework to compare complex data distributions in a geometrically meaningful way.
