Topics in Deep Learning Theory
CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United StatesTopics in Deep Learning Theory Eli Grigsby
Topics in Deep Learning Theory Eli Grigsby
Open Discussion/Tea
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