An analytic uniform ergodic latent trajectory is pushed forward by a conditional flow matching map to produce asymptotically ergodic trajectories matching any target density with provable coverage bounds.
A multi-source dataset of urban life in the city of Milan and the Province of Trentino.Scientific Data, 2:150055, 2015
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Ergodic Trajectory Design by Learned Pushforward Maps: Provable Coverage via Conditional Flow Matching
An analytic uniform ergodic latent trajectory is pushed forward by a conditional flow matching map to produce asymptotically ergodic trajectories matching any target density with provable coverage bounds.