Math and Machine Learning Program Discussion
Math and Machine Learning Program Discussion
12 events found.
Communication Complexity of Combinatorial Auctions
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 […]
Classification and Construction of crystalline topological superconductors and insulators in interacting fermion systems
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
Math and Machine Learning Program Discussion
Symmetry groups in infinite dimensions
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CMSA Room G10
CMSA, 20 Garden Street, Cambridge, MA, United States
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 […]
New Energy Inequality in AdS
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
Topics in Deep Learning Theory Eli Grigsby
Math and Machine Learning Program Open Discussion/Tea
Open Discussion/Tea
Symplectic duality in examples
Geometry and Quantum Theory Seminar Speaker: Vasily Krylov, Harvard CMSA & Math Title: Symplectic duality in examples Abstract: Over the past twenty years, mathematicians and physicists have shown increasing interest […]
Math and Machine Learning Program Discussion
Math and Machine Learning Program Discussion
Infinite Limits and Scaling Laws for Deep Neural Networks
https://youtu.be/0998FJhPdj8 New Technologies in Mathematics Seminar Speaker: Blake Bordelon Title: Infinite Limits and Scaling Laws for Deep Neural Networks Abstract: Scaling up the size and training horizon of deep learning models has enabled […]
Witten deformation for non-Morse functions and gluing formulas
Mathematical Physics and Algebraic Geometry Speaker: Junrong Yan (Northeastern University) Title: Witten deformation for non-Morse functions and gluing formulas Abstract: Witten deformation is a versatile tool with numerous applications in […]