Is Flow Matching Just Trajectory Replay for Sequential Data?
The research investigated whether Flow Matching (FM) learns true dynamical structures or just replays past trajectories in sequential data. The authors derived the optimal velocity field for Gaussian conditional paths, showing it results in a nonparametric, memory-augmented continuous-time dynamical system. This led to FreeFM, a training-free sampler that intelligently blends historical transitions with score corrections.