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Institute for Pure & Applied Mathematics (IPAM) · Science

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

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Michael Jordan: "Optimization & Dynamical Systems: Variational, Hamiltonian, & Symplectic Perspe..."

06 Jul 2020
48m
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Matti Lassas: "New deep neural networks solving non-linear inverse problems"

06 Jul 2020
49m
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Jianfeng Lu: "PDE analysis for sampling dynamics and generative models"

06 Jul 2020
45m
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Somil Bansal: "Scaling Hamilton-Jacobi Reachability Analysis for Robotics"

30 Jun 2020
44m
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Sylvia Herbert: "Scalability for Hamilton-Jacobi Reachability Analysis: Decomposition, Warm-Star..."

30 Jun 2020
49m
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Marianne Akian: "Probabilistic max-plus schemes for solving Hamilton-Jacobi-Bellman equations"

30 Jun 2020
53m
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Ivan Yegorov: "Attenuation of the curse of dimensionality in continuous-time nonlinear optimal f..."

30 Jun 2020
47m
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Mo Chen: "A Multi-Pronged Approach to Computational Challenges in HJ Reachability"

30 Jun 2020
1h 0m
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Wei Kang: "Data Development and Deep Learning for HJB Equations"

30 Jun 2020
59m
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Stanley Osher & Samy Wu Fung: "Solving high dimensional HJ equations using generalized Hopf-Lax ..."

30 Jun 2020
39m
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Karl Kunisch: "Solution Concepts for Optimal Feedback Control of Nonlinear PDEs"

30 Jun 2020
58m
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Jérôme Darbon: "Overcoming the curse of dimensionality for some Hamilton-Jacobi partial differen..."

30 Jun 2020
53m
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Gang George Yin: "High-Dimensional HJBs: Mean-Field Limits and McKean-Vlasov Equations"

30 Jun 2020
55m
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Yat Tin Chow: "A numerical method of solving high dimensional Hamilton-Jacobi equations with gen..."

30 Jun 2020
59m
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Richard Tsai: "Learning optimal strategies for line-of-sight based games"

30 Jun 2020
59m
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Maurizio Falcone: "A discrete time Dynamic Programming approach on a tree structure for finite ho..."

30 Jun 2020
57m
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Claire Tomlin: "Hamilton-Jacobi Methods in Robotics"

30 Jun 2020
1h 3m
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Arthur Krener: "Al'brekht’s Method in Infinite Dimensions"

30 Jun 2020
46m
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Kyriakos Vamvoudakis: "Solving Game-Theoretic Hamilton-Jacobi Equations in a Model-Free Way"

30 Jun 2020
50m
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Weinan E: "High Dimensional PDEs: Theory and Numerical Algorithms"

30 Jun 2020
43m
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