Lan V. Truong

From Score Approximation to Distribution Approximation in Score-Based Diffusion Models

This work derives an explicit upper bound on the distribution approximation error in terms of the score approximation error, the diffusion noise schedule, and the terminal prior mismatch and provides a simple and explicit guarantee linking neural network approximation of score functions to approximation of the probability distributions generated by reverse diffusion models.