A stochastic thermodynamics framework quantifies entropy production in non-Markovian autoregressive generative models, with efficient estimation from trajectories and exact decomposition into non-negative retrospective inference terms.
If the joint process (x t, yt) satisfies the factorization (A1) with xt =x t, thenx t constitutes a Markovian embedding of yt
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Stochastic Thermodynamics for Autoregressive Generative Models: A Non-Markovian Perspective
A stochastic thermodynamics framework quantifies entropy production in non-Markovian autoregressive generative models, with efficient estimation from trajectories and exact decomposition into non-negative retrospective inference terms.