
Institute for Pure & Applied Mathematics (IPAM)
The Institute for Pure and Applied Mathematics (IPAM) is a National Science Foundation Math Institute at the University of California, Los Angeles (UCLA) that fosters the interaction of mathematics with a broad range of science and technology, builds new interdisciplinary research communities, promotes mathematical innovation, and engages and transforms the world through mathematics. IPAM fulfills its mission through workshops and programs that connect mathematics and other disciplines or multiple areas of mathematics. These activities bring in thousands of visitors annually from academia, government, and industry. The NSF has encouraged IPAM to make the scientific presentations of our speakers available to a wider audience. While this YouTube channel contains many of our most popular videos, our full video archive is available at www.ipam.ucla.edu/videos.
Episodes


Matti Lassas: "New deep neural networks solving non-linear inverse problems"

Jianfeng Lu: "PDE analysis for sampling dynamics and generative models"

Somil Bansal: "Scaling Hamilton-Jacobi Reachability Analysis for Robotics"

Sylvia Herbert: "Scalability for Hamilton-Jacobi Reachability Analysis: Decomposition, Warm-Star..."

Marianne Akian: "Probabilistic max-plus schemes for solving Hamilton-Jacobi-Bellman equations"

Ivan Yegorov: "Attenuation of the curse of dimensionality in continuous-time nonlinear optimal f..."

Mo Chen: "A Multi-Pronged Approach to Computational Challenges in HJ Reachability"

Wei Kang: "Data Development and Deep Learning for HJB Equations"

Stanley Osher & Samy Wu Fung: "Solving high dimensional HJ equations using generalized Hopf-Lax ..."

Karl Kunisch: "Solution Concepts for Optimal Feedback Control of Nonlinear PDEs"

Jérôme Darbon: "Overcoming the curse of dimensionality for some Hamilton-Jacobi partial differen..."

Gang George Yin: "High-Dimensional HJBs: Mean-Field Limits and McKean-Vlasov Equations"

Yat Tin Chow: "A numerical method of solving high dimensional Hamilton-Jacobi equations with gen..."

Richard Tsai: "Learning optimal strategies for line-of-sight based games"

Maurizio Falcone: "A discrete time Dynamic Programming approach on a tree structure for finite ho..."

Claire Tomlin: "Hamilton-Jacobi Methods in Robotics"

Arthur Krener: "Al'brekht’s Method in Infinite Dimensions"

Kyriakos Vamvoudakis: "Solving Game-Theoretic Hamilton-Jacobi Equations in a Model-Free Way"

Weinan E: "High Dimensional PDEs: Theory and Numerical Algorithms"
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