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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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Rongjie Lai - Unsupervised In-context Operator Learning for Mean Field Games - IPAM at UCLA

15 Jul 2025
39m
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Haomin Zhou - A supervised learning scheme for Hamilton-Jacobi equation via density coupling

15 Jul 2025
39m
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Lars Ruthotto - Mixed-Precision Algorithms for Training Neural ODEs - IPAM at UCLA

15 Jul 2025
37m
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Scott McCalla - Tracking bacterial growth using a nonlocal interfacial model - IPAM at UCLA

15 Jul 2025
35m
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Wenjing Liao - Exploiting Low-Dimensional Data Structure & Understanding Neural Scaling of Trans...

14 Jul 2025
40m
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Stan Osher - Characteristic-Based Deep Learning Framework for Hamilton–Jacobi Equations & O.T.

14 Jul 2025
36m
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Alessio Figalli - Optimal Transport: From A to B… and Beyond - Green Family Lecture at IPAM at UCLA

03 Jun 2025
57m
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Alessio Figalli - Stability in Geometric & Functional Inequalities: Optimal Transport & Beyond

03 Jun 2025
1h 5m
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Therese Basa Landry - Quantum Wasserstein Distance on the Quantum Permutation Group - IPAM at UCLA

23 May 2025
42m
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Shmuel Friedland - Barrier relaxations of the classical and quantum optimal transport problems

23 May 2025
51m
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Promit Ghosal - Convergence, Geometry, and Selection Principles in Entropic Optimal Transport

23 May 2025
57m
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Anna Korba - Some novel kernel-based divergences between probability distributions - IPAM at UCLA

22 May 2025
53m
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Sivaraman Balakrishnan - Stability Bounds for Smooth Optimal Transport Map, Statistical Implications

22 May 2025
48m
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Jason Altschuler - Near-Linear Runtime for a Classical Matrix Preconditioning Algorithm

22 May 2025
54m
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Didier Henrion - Solving moment and polynomial optimization problems on Sobolev spaces

21 May 2025
35m
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Tyler Maunu - Subspace Langevin Monte Carlo - IPAM at UCLA

21 May 2025
48m
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Joel Tropp - Scalable semidefinite programming - IPAM at UCLA

21 May 2025
53m
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Alessio Figalli - On the regularity of optimal transport maps - IPAM at UCLA

21 May 2025
54m
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Bodhisattva Sen - Constrained denoising, optimal transport, and empirical Bayes - IPAM at UCLA

21 May 2025
49m
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Tudor Manole - Sharp Deconvolution of Optimal Transport Matchings - IPAM at UCLA

20 May 2025
55m
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