Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data

1 code implementation • 31 Oct 2022 • Hyemin Gu, Panagiota Birmpa, Yannis Pantazis, Luc Rey-Bellet, Markos A. Katsoulakis

We build a new class of generative algorithms capable of efficiently learning an arbitrary target distribution from possibly scarce, high-dimensional data and subsequently generate new samples.

Data Integration Representation Learning