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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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Jacob Steinhardt - Oversight Foundation Models - IPAM at UCLA

01 Sep 2026
56m
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Max Tegmark - Neural network interpretability: symmetry, geometry and formal verification

01 Sep 2026
51m
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Bin Yu - Neural network interpretability: symmetry, geometry and formal verification

01 Sep 2026
46m
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Josh Batson - Interpretability: From Art Towards Science - IPAM at UCLA

01 Sep 2026
43m
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Marina Meila - Contrastive Explanations: a geometric and topological view - IPAM at UCLA

31 Aug 2026
53m
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Paul Christiano - Mechanistic Estimation - IPAM at UCLA

31 Aug 2026
55m
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Jacob Hilton - Miniature mathematical mysteries: uninterpreted models w/ fewer than 1,500 parameters

31 Aug 2026
44m
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Been Kim - Changing Shapes: Interpretability, AI, and the Future of Human Agency - IPAM at UCLA

31 Aug 2026
40m
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Miriam Kuzbary - 0-Surgeries on Links - IPAM at UCLA

27 Aug 2026
31m
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Viktória Földvári - Maximal tb Representatives of Double Twist Knots - IPAM at UCLA

26 Aug 2026
23m
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Yasemin Yildirim - Constructing and classifying Legendrian doubles - IPAM at UCLA

25 Aug 2026
20m
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Tanushree Shah - Contact cosmetic surgery - IPAM at UCLA

25 Aug 2026
25m
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Shancong Mou - Derivative-Informed Training of Neural Operators on the Fly - IPAM at UCLA

22 May 2026
39m
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Simon Van Mulders - Model-aided TCV operation through routine pre-shot, real-time and post-shot...

22 May 2026
41m
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Stephen Becker - Some new bi-fidelity methods for UQ and optimization - IPAM at UCLA

22 May 2026
44m
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Sophia Henneberg - Optimization of Quasi-Axisymmetric Stellarator- ; Tokamak Hybrids - IPAM at UCLA

21 May 2026
45m
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Andy Rothstein - AI-Driven Event Prediction and Fault-Resilient Plasma Control on DIII-D

21 May 2026
40m
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Cory Hauck - Approximate entropy-based moment closures - IPAM at UCLA

21 May 2026
42m
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Rebekah White - Surrogate-Based Optimization of Magnetized Liner Inertial Fusion Target Design

20 May 2026
40m
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Yunan Yang - Adjoint Direct Simulation Monte Carlo for Optimization and Control of Rarefied Flows

20 May 2026
41m
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