Colloquium Speaker: Lauren Williams, Harvard University Title: Combinatorics and geometry of the amplituhedron Abstract: The amplituhedron is a geometric object introduced by Arkani-Hamed and Trnka to compute scattering amplitudes in […]
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 […]