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Institute for Pure & Applied Mathematics (IPAM) ยท 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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Qiuyu Ren - Gluing formulas for Khovanov skein lasagna modules, & detection of exotic 4-manifolds

30 Sep 2026
1h 18m
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Ian Le - Cluster Algebras and Legendrian Knots - IPAM at UCLA

30 Sep 2026
1h 17m
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Nathan Geer - Non-Semisimple Skien TQFTs - IPAM at UCLA

29 Sep 2026
1h 9m
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Giulio Belletti - Introduction to quantum invariants - IPAM at UCLA

29 Sep 2026
1h 14m
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Michael Willis - Defining skein lasagna modules, and basic properties - IPAM at UCLA

29 Sep 2026
1h 14m
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Daniel Douglas - Introduction to the theory of Fock and Goncharov - IPAM at UCLA

29 Sep 2026
1h 17m
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Iordanis Romaidis - Contemporary Topics in Skein Theory - IPAM at UCLA

28 Sep 2026
1h 10m
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Jessica Purcell - Introduction to hyperbolic geometry - IPAM at UCLA

28 Sep 2026
1h 11m
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Melissa Zhang - Khovanov homology and generalizations - IPAM at UCLA

28 Sep 2026
1h 5m
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Ariana Chin - Introduction to Cluster Algebras - IPAM at UCLA

26 Sep 2026
1h 11m
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David Rose - Webs, foams, and invariants in low-dimensional topology - IPAM at UCLA

25 Sep 2026
1h 17m
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Lenny Ng - Introduction to Legendrian links and Lagrangian cobordisms - IPAM at UCLA

25 Sep 2026
1h 13m
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Shicheng Wang - A quick introduction to 3-manifolds - IPAM at UCLA

25 Sep 2026
1h 5m
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David Jordan - Introduction to skein theory - IPAM at UCLA

25 Sep 2026
1h 16m
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Numerical Algebraic Geometry & Correlated Electrons: Grassmannian, Response Function & Excited State

23 Sep 2026
20m
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Takaharu Yaguchi - Geometric-Structure Machine Learning; Cross-System Prediction Hamiltonian Systems

19 Sep 2026
26m
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Robert Joseph George - Verified Scientific Machine Learning in Lean - IPAM at UCLA

19 Sep 2026
25m
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Matthew Sottile - Physics to Simulation: The Deep Stack of Formalization - IPAM at UCLA

19 Sep 2026
32m
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Andrew Appel - Building a Formally Verified Finite Element Method Solver, One Component At a Time

18 Sep 2026
23m
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Koji Hashimoto - On the interpretability of neural network solutions of PDEs in theoretical physics

18 Sep 2026
33m
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