Math and Machine Learning Program Open Discussion/Tea
Common Room, CMSA 20 Garden Street, Cambridge, MA, United StatesOpen Discussion/Tea
Open Discussion/Tea
Geometry and Quantum Theory Seminar Speaker: Sunghyuk Park, Harvard CMSA Title: Skein traces and curve counting Abstract: Skein modules are vector space-valued invariants of 3-manifolds describing the space of line […]
Math and Machine Learning Program Discussion
CMSA Q&A Seminar Speaker: Laura DeMarco, Harvard University Topic: What is Teichmuller geometry and why is it important?
Topics in Deep Learning Theory Eli Grigsby
Quantum Field Theory and Physical Mathematics Seminar Speaker: Brian Williams, Boston University Title: Dolbeault Virasoro algebra and M5 branes Abstract: The worldvolume theory on a stack of M5 branes in […]
Math and Machine Learning Program Discussion
Member Seminar Speaker: Keyou Zeng Title: Scattering Amplitude from a Twistor Point of View Abstract: Scattering amplitude is a key quantity in quantum field theory. Although challenging to compute at […]
Full Name Role Office # Affiliation Dates Email Address Last Name Alberto Bietti Researcher Flatiron Institute Alberto@Bietti.me Bietti Francois Charton Math AI Organizer 202 Meta AI fcharton@meta.com Charton Alex Davies […]
Math and Machine Learning Program Discussion
General Relativity Seminar Speaker: Christoph Kehle, MIT Title: Gravitational collapse to extremal Reissner-Nordström and the third law of black hole thermodynamics Abstract: In this talk, I will present a proof […]
Topics in Deep Learning Theory Eli Grigsby