Conditional Diffusion Sampling
This paper introduces Conditional Diffusion Sampling (CDS), a novel framework that combines the global exploration of Parallel Tempering with a neural-free, closed-form transport SDE to efficiently sample from unnormalized multimodal distributions while reducing density evaluation costs.