Stochastic Thermodynamics and SDE-based Generative Models
SDE-based generative models, including diffusion models and the Schrödinger bridge, have found broad applications in signal processing tasks such as speech enhancement, image restoration, and time-series generation. This note presents a modeling framework for such models within the context of stochastic thermodynamics. The main results of this note are trajectory-level definitions of work, heat, and entropy production, along with a generalized Jarzynski identity and a second-law-like inequality. The proposed framework extends the original Jarzynski setup to accommodate time-dependent bath temperature and nonconservative driving forces. This thermodynamic perspective may deepen our underst...
| Authors | Yaowen Zhang |
|---|---|
| Primary category | cond-mat.stat-mech |
| Published | 13 June 2026 |
| Last updated at source | 13 June 2026 |
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