Preprint Open access
Flow Matching under Noisy Latent Structure: Beyond Exact Low-Dimensional Support
Flow Matching (FM) learns a velocity field whose ODE transports a simple source distribution to a target law. Existing finite-sample theory largely treats ambient-space regularity or data supported exactly on low-dimensional sets. We study linear FM under a noisy latent-generator model, where a low-dimensional Hölder m …