Wasserstein Gradient Flows and Applications to Sampling in Machine Learning - Lecture 3
Centre International de Rencontres Mathématiques via YouTube
Live Online Classes in Design, Coding & AI — Small Classes, Free Retakes
Free courses from frontend to fullstack and AI
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
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.
Syllabus
Anna Korba: Wasserstein gradient flows and applications to sampling in machine learning - Lecture 3
Taught by
Centre International de Rencontres Mathématiques