
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


Ziv Goldfeld - Gromov-Wasserstein Alignment: Statistics, Computation, and Geometry - IPAM at UCLA

Cesar Uribe - Decentralized Optimal Transport and Barycenters: Algorithms, Quantization, and Equity

Giulia Luise - Learning to optimize transport plans - IPAM at UCLA

Dávid Papp - Nonsymmetric conic optimization & dual certificates for sums-of-squares - IPAM at UCLA

Venkat Chandrasekaran - Any-dimensional polynomial optimization - IPAM at UCLA

Jean Lasserre - Gaussian mixtures closest to a given measure via optimal transport - IPAM at UCLA

Aaron Palmer - Non-Commutative Optimal Control and Viscosity Solutions - IPAM at UCLA

Haonan Zhang - On the Ricci curvature lower bounds for quantum Markov semigroups - IPAM at UCLA

Marius Junge - Why Ricci curvature (almost) failed us in noncommutative dynamics - IPAM at UCLA

Ralph Sabbagh - On the Weyl symbols of Gaussian semigroups - IPAM at UCLA

Peixue Wu - From non-commutative optimal transport to limitations of quantum simulations

Dmitry Vorotnikov - Matrix-valued problems reminiscent of optimal transport and applications to PDEs

Karol Zyczkowski - Transforms of classical & quantum states & discrete dynamics in quantum measures

Wilfrid Gangbo - Viscosity solutions in non-commutative variables - IPAM at UCLA

David Andrew Jekel - Relating entropy and Wasserstein distance in free probability - IPAM at UCLA

Francois Golse - Wasserstein Distance and the Observability Problem in Quantum Mechanics

Jean-Claude Zambrini - Integrability of Hamilton-Jacobi-Bellman equation - IPAM at UCLA

Andrew Jordan - Continuous quantum measurements: The most likely path with pre- and post-selection

Franca Hoffmann - Covariance-Modulated Optimal Transport Geometry - IPAM at UCLA
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