Speaker: Ahsan Khan (CMSA) Title: BPS Algebras in Landau-Ginzburg Models Abstract: The study of BPS states in supersymmetric quantum field theory has been a fruitful source of both mathematical and […]
Math and Machine Learning Program Discussion
Mathematical Physics and Algebraic Geometry Speaker: Justin Kulp (Simons Center for Geometry and Physics) Title: Twisted Tools for (Untwisted) Quantum Field Theory Abstract: One of the most important properties of QFTs is […]
Topics in Deep Learning Theory Eli Grigsby
https://youtu.be/5Lo7bo7P_I0 Math and Machine Learning Lecture Date: Thursday, Sep. 12, 2024 Time: 4:00 - 5:00 pm Location: Science Center & via Zoom Webinar Speaker: Geordie Williamson, University of Sydney […]
Math and Machine Learning Program Discussion
Member Seminar Speaker: Iacopo Brivio (CMSA) Title: Abundance for mixed characteristic threefolds Abstract: The Minimal Model Program (MMP) predicts that every algebraic variety X is birational to either a fibration […]
Freedman CMSA Seminar 2:00-3:30 pm ET Speaker: Mike Freedman, Harvard CMSA Title: Detecting hidden structures in linear maps Abstract: I'll consider the problem of detecting spectral features and tensor […]
Joint BHI/CMSA Foundation Seminar Speaker: Matthew Dodelson (Harvard) Title: Ringdown in the SYK model Abstract: Thermal correlators in large N systems equilibrate at late times, but the precise late-time behavior is […]
Math and Machine Learning Program Discussion
Colloquium Speaker: Pavel Etingof (MIT) Title: Periodic pencils of flat connections and their p-curvature A periodic pencil of flat connections on a smooth algebraic variety is a linear family of flat […]
Topics in Deep Learning Theory Eli Grigsby