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Analysis of Flow-based Generative Models
November 17, 2023 @ 11:00 am - 12:00 pm
Jianfeng Lu (Duke University)
In this talk, we will discuss recent progress on mathematical analysis of flow based generative models, which is a highly successful approach for learning a probability distribution from data and generating further samples.
Jianfeng Lu is a Professor of Mathematics, Physics, and Chemistry at Duke University. Before joining Duke University, he obtained his PhD in Applied Mathematics from Princeton University in 2009 and was a Courant Instructor at New York University from 2009 to 2012. He works on mathematical analysis and algorithm development for problems and challenges arising from computational physics, theoretical chemistry, materials science, high-dimensional PDEs, and machine learning. He is a fellow of AMS. His work has been recognized by a Sloan Fellowship, a NSF Career Award, the IMA Prize in Mathematics and its Applications, and the Feng Kang Prize.