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The Theoretical Analysis of Deep Generative Models via Normalizing Flows

    Danilo Rezende and Shakir Mohamed formalized normalizing flows, a mathematical framework that allowed generative AI models to construct complex probability distributions by applying a sequence of invertible transformations.

    Part of the 34 AI Roots Facts: 2015 Edition archive. HistoricallyVerified

    Top 5 Structural Foundations: Origins

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