Groups
A forward stochastic differential equation (SDE) models a state that drifts deterministically and is shaken by random Brownian noise over time.
Score-based diffusion models corrupt data by gradually adding Gaussian noise and then learn to reverse this process by estimating the score, the gradient of the log-density.