Hessian-free high-resolution dynamics with position diffusion improves convergence rates over standard underdamped Langevin dynamics for machine learning sampling problems

An adapted time-augmented Poincaré inequality yields an explicit rate that improves upon the contraction rate of the underdamped Langevin dynamics.

http://arxiv.org/abs/2608.25052v1