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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 b
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