https://youtu.be/1QwTqfiqxTw CMSA/Tsinghua Math-Science Literature Lecture Date: Wednesday, September 18, 2024 Time: 9:00 - 10:30 am ET Location:Â Via Zoom Webinar Register for Zoom Webinar Speaker: Marc Lackenby, University of Oxford […]
Math and Machine Learning Program Discussion
CMSA Q&A Seminar Speaker: Noam Elkies, Harvard Math Topic:Â How to show E8 and Leech lattices have optimal sphere packings?
Mathematical Physics and Algebraic Geometry Seminar Speaker: Minghao Wang (Boston University) Title: Feynman graph integrals from topological holomorphic theories Abstract: Feynman graph integrals from topological theories were developed by M. […]
Topics in Deep Learning Theory Eli Grigsby
Math and Machine Learning Program Discussion
Member Seminar Speaker: Tomer Ezra (CMSA) Title: Communication Complexity of Combinatorial Auctions Abstract: We study the communication complexity of welfare maximization in combinatorial auctions with m items and two subadditive […]
Quantum Matter Seminar Speaker: Zhengcheng Gu, Chinese University of Hong Kong Title: Classification and construction of crystalline topological superconductors and insulators in interacting fermion systems Abstract: The construction and classification […]
Math and Machine Learning Program Discussion
Colloquium Speaker: Lisa Carbone, Rutgers University Title: Symmetry groups in infinite dimensions Abstract: The study of many physical theories requires an understanding of symmetries of infinite dimensional Lie algebras. The […]
General Relativity Seminar Speaker: Diandian Wang, Harvard University Title: New Energy Inequality in AdS Abstract: I will describe evidence for a new energy inequality in asymptotically AdS spacetimes whose conformal […]
Topics in Deep Learning Theory Eli Grigsby