Sampling, Diffusions, and Stochastic Localization

Understand

Diffusions are a successful technique to sample from high-dimensional distributions.

• The target distribution can be either explicitly given or learnt from a collection of samples.
• They implement a diffusion process whose endpoint is a sample from the target distribution.
• The drift of the diffusion process is typically represented as a neural network.