AI RESEARCH
A Kinetic Energy Perspective of Flow Matching
arXiv CS.AI
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ArXi:2602.07928v2 Announce Type: replace-cross Flow-based generative models can be viewed through a physics lens: sampling transports a particle from noise to data by integrating a learned velocity field, and each sample corresponds to a trajectory with its own dynamical effort. Motivated by classical mechanics, we