Efficient Simulation of Diffusion Bridge Processes on Sub-Riemannian Manifolds using Score Matching

This paper presents a method for efficiently simulating diffusion bridge processes on sub-Riemannian manifolds by leveraging recent progress in machine learning to train neural network approximations of the score function.