Wasserstein Gradient Flows and Applications to Sampling in Machine Learning - Lecture 3

Explore the third lecture in a series on Wasserstein gradient flows and their applications to sampling in machine learning, delivered by Anna Korba at the Centre International de Rencontres Mathématiques in Marseille, France. Delve into advanced mathematical concepts presented during the thematic meeting "Frontiers in interacting particle systems, aggregation-diffusion equations & collective behavior." Access this 1 hour and 25 minute conference recording through CIRM's Audiovisual Mathematics Library, which offers enhanced features such as chapter markers, keywords, abstracts, bibliographies, and Mathematics Subject Classification. Utilize the multi-criteria search function to explore a wealth of mathematical talks by renowned experts from around the world.

Anna Korba: Wasserstein gradient flows and applications to sampling in machine learning - Lecture 3