AI RESEARCH
Deterministic Decomposition of Stochastic Generative Dynamics
arXiv CS.AI
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ArXi:2605.08794v1 Announce Type: cross Modern generative models can be understood as probability transport from a simple base distribution to a target data distribution. Deterministic transport models offer tractable velocity-field parameterizations, whereas stochastic generative models capture richer density evolution through drift and diffusion.