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

Offered By: Centre International de Rencontres Mathématiques via YouTube

Tags

Machine Learning Courses Sampling Courses Partial Differential Equations Courses Stochastic Processes Courses Probability Theory Courses Statistical Physics Courses Optimal Transport Courses

Course Description

Overview

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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.

Syllabus

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


Taught by

Centre International de Rencontres Mathématiques

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