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People at CMSA – Oct. 14-18, 2024

CMSA 20 Garden Street Cambridge, Massachusetts 02138 United States

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 Machine Learning Specialist DeepMind adavies@google.com Davies Noam Elkies Professor Harvard University elkies@math.harvard.edu Elkies Drew Sutherland Math AI Organizer 202 MIT drew@math.mit.edu Sutherland Tristan Buckmaster Math […]

Gravitational collapse to extremal Reissner-Nordström and the third law of black hole thermodynamics

CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

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 that extremal Reissner-Nordström black holes can form in finite time in gravitational collapse of charged matter. In particular, this construction provides a definitive disproof of […]

Topics in Deep Learning Theory

CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

Topics in Deep Learning Theory Eli Grigsby

Topological Modular Forms, its equivariant refinements and relation with supersymmetric quantum field theories

Science Center Hall E 1 Oxford Street, Cambridge, MA, United States

Geometry and Quantum Theory Seminar Speaker: Mayuko Yamashita, Kyoto University Title: Topological Modular Forms, its equivariant refinements and relation with supersymmetric quantum field theories Abstract: This talk is about the Segal-Stolz-Teichner program, which is one of the most deep and interesting topics relating homotopy theory and physics. Mathematically, they propose a geometric model of TMF, […]

From Word Prediction to Complex Skills: Data Flywheels for Mathematical Reasoning

CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

New Technologies in Mathematics Seminar Speaker: Anirudh Goyal (University of Montreal) Title: From Word Prediction to Complex Skills: Data Flywheels for Mathematical Reasoning Abstract: This talk examines how large language models (LLMs) evolve from simple word prediction to complex skills, with a focus on mathematical problem solving. A major driver of AI products today is the fact […]

Featured Featured Event Series Math Science Lectures in Honor of Raoul Bott: Andy Nietzke

Math Science Lectures in Honor of Raoul Bott: Andrew Neitzke

Harvard Science Center 1 Oxford Street, Cambridge, MA

Speaker: Andrew Neitzke, Yale University Location: Harvard University Science Center Hall D & via Zoom webinar Dates: October 16 & 17, 2024 Time: 4:00 pm Directions and Recommended Lodging   Register Online Register for in-person attendance Zoom Webinar registration   Wednesday, Oct. 16, 2024 Title: Abelianization in analysis of ODEs Abstract: I will describe the […]

Topics in Deep Learning Theory

CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

Topics in Deep Learning Theory Eli Grigsby

Featured Featured Event Series Math Science Lectures in Honor of Raoul Bott: Andy Nietzke

Math Science Lectures in Honor of Raoul Bott: Andrew Neitzke

Harvard Science Center 1 Oxford Street, Cambridge, MA

Speaker: Andrew Neitzke, Yale University Location: Harvard University Science Center Hall D & via Zoom webinar Dates: October 16 & 17, 2024 Time: 4:00 pm Directions and Recommended Lodging Register for in-person attendance Zoom Webinar registration   Wednesday, Oct. 16, 2024 Title: Abelianization in analysis of ODEs Abstract: I will describe the exact WKB method […]