Bridging AI and Generative Models with Mean Field Control through Score Based Normalizing Flow
Speaker: Mo Zhou, Ph.D. IDRE Postdoctoral Fellow Department of Mathematics (UCLA) University of California Los Angeles Place: Virtual (Link to the video recording) 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,”...