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Bridging AI and Generative Models with Mean Field Control through Score Based Normalizing Flow

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Speaker: Mo Zhou, Ph.D. IDRE Postdoctoral Fellow Department of Mathematics (UCLA) University of California Los Angeles    Place: Virtual (Link to registration) Abstract:     Generative models, a cornerstone of modern AI, learn to approximate complex probability distributions and generate realistic data. A key challenge in these models is efficiently computing the “score function,” which helps...

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