Wasserstein Gradient Flows and Applications to Sampling in Machine Learning - Lecture 2

Explore the second lecture in a series on Wasserstein gradient flows and their applications to sampling in machine learning, presented by Anna Korba at the Centre International de Rencontres Mathématiques in Marseille, France. Delve into advanced mathematical concepts during this 43-minute conference talk, recorded as part of the thematic meeting "Frontiers in interacting particle systems, aggregation-diffusion equations & collective behavior." Access this video and other presentations by renowned mathematicians through CIRM's Audiovisual Mathematics Library, featuring chapter markers, keywords, enriched content with abstracts and bibliographies, and a multi-criteria search function for easy navigation and comprehensive learning.

Anna Korba: Wasserstein gradient flows and applications to sampling in machine learning - Lecture 2