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Anna Korba: Wasserstein gradient flows and applications to sampling in machine learning - Lecture 3
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Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.

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

Centre International de Rencontres Mathématiques
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