AINeutralarXiv – CS AI · Mar 276/10
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The Information Dynamics of Generative Diffusion
Researchers present a unified theoretical framework for understanding generative diffusion models by connecting information theory, dynamics, and thermodynamics. The study reveals that diffusion generation operates as controlled noise-induced symmetry breaking, where the score function regulates information flow from noise to structured data.