Stochastic Normalizing Flows
–Neural Information Processing Systems
By invoking ideas from non-equilibrium statistical mechanics we derive an efficient training procedure by which both the sampler's and the flow's parameters can be optimized end-to-end, and by which we can compute
Neural Information Processing Systems
Oct-2-2025, 18:33:35 GMT
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