Bridge Matching Sampler: Scalable Sampling via Generalized Fixed-Point Diffusion Matching
The Bridge Matching Sampler (BMS) develops a scalable method for sampling from unnormalized densities using diffusion models. It learns a stochastic transport map between a prior and target distribution by alternating between building bridge processes and Markovianizing their dynamics, offering stable performance in high dimensions.