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.
ftarget has a C1 density bounded away from zero on a homeomorphic support
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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.