Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Aaron Havens, Benjamin Kurt Miller, Bing Yan +10

We introduce Adjoint Sampling, a highly scalable and efficient algorithm for learning diffusion processes that sample from unnormalized densities, or energy functions. It is the fi…