Reversible Gromov-Monge Sampler for Simulation-Based Inference

Motivated by the seminal work on distance and isomorphism between metric measure spaces, we propose a new notion called the Reversible Gromov-Monge (RGM) distance and study how RGM can be used to design new transform samplers to perform simulation-based inference.

September 2021 · YoonHaeng Hur, Wenxuan Guo, Tengyuan Liang