Isao Ishikawa

Backward Kolmogorov Transport: Sampling Invariant Laws of Reversible Diffusions from Trajectory Data

We consider a reversible diffusion with unknown drift, observed through trajectories, and construct samplers of its invariant law. The trajectories contain samples of this law, but a sampler built from them by density or score estimation inherits the errors of these estimates, in particular on the barriers between meta...