Fengzhe Zhang

Efficient and Unbiased Sampling from Boltzmann Distributions via Variance-Tuned Diffusion Models

Score-based diffusion models (SBDMs) are powerful amortized samplers for Boltzmann distributions; however, imperfect score estimates bias downstream Monte Carlo estimates. Classical importance sampling (IS) can correct this bias, but computing exact likelihoods requires solving the probability-flow …