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.
Marginal and condi- tional second laws of thermodynamics,
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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.