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Harvard CMSA

@harvardcmsa

Harvard University's Center of Mathematical Sciences and Applications. A fusion point for mathematics, statistics, physics, and related sciences.

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linkhttp://cmsa.fas.harvard.edu/ calendar_today27-05-2015 14:51:38

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Cynthia Dwork | Ding Shum Lecture | March 21 , 2023 | 5-6 pm ET cmsa.fas.harvard.edu/event/2022-din… Measuring Our Chances: Risk Prediction in This World and its Betters

Cynthia Dwork | Ding Shum Lecture | March 21 , 2023 | 5-6 pm ET

cmsa.fas.harvard.edu/event/2022-din…

Measuring Our Chances: Risk Prediction in This World and its Betters
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New published work by CMSA researcher Juven Wang. Fermi surface symmetric mass generation journals.aps.org/prb/abstract/1…

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New published work by CMSA researcher Juven Wang Flavor hierarchy from smooth confinement Yuta Hamada and Juven Wang Phys. Rev. D 108, 016018 – Published 28 July 2023 link.aps.org/doi/10.1103/Ph…

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New published work by CMSA Researcher Juven Wang Definition and classification of Fermi surface anomalies Da-Chuan Lu, Juven Wang, and Yi-Zhuang You doi.org/10.1103/PhysRe…

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Consumption and Savings with Large Language Model Agents by Michael R. Douglas and Sergiy Verstyuk papers.ssrn.com/sol3/papers.cf…

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11/21/24 9:00 am ET: Bjorn Poonen (MIT) will give a talk on Ranks of elliptic curves in the CMSA/Tsinghua Math-Science Literature Lecture. cmsa.fas.harvard.edu/event/mathscil…

11/21/24 9:00 am ET: Bjorn Poonen (MIT) will give a talk on Ranks of elliptic curves in the CMSA/Tsinghua Math-Science Literature Lecture.

cmsa.fas.harvard.edu/event/mathscil…
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New published work by CMSA researcher Juven Wang. Categorical symmetry of the standard model from gravitational anomaly journals.aps.org/prd/abstract/1…

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CMSA Colloquium | Feb. 10, 2025 | 4:00 pm Michael Douglas, Harvard CMSA AI in math and theoretical physics: status and prospects cmsa.fas.harvard.edu/event/colloqui…

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Fifth Annual Yip Lecture | Scott Aaronson (UT Austin): How Much Math Is Knowable? Thursday 4.17.25 cmsa.fas.harvard.edu/event/yip-2025/

Fifth Annual Yip Lecture | Scott Aaronson (UT Austin): How Much Math Is Knowable?
Thursday 4.17.25
cmsa.fas.harvard.edu/event/yip-2025/
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CMSA Researcher Mike Douglas has been named a Simons Foundation investigator for the new Simons Collaboration on the Physics of Learning and Neural Computation. The collaboration will study how large neural networks learn, reason and imagine, essentially peeking inside AI’s “black box.”

CMSA Researcher Mike Douglas has been named a <a href="/SimonsFdn/">Simons Foundation</a> investigator for the new Simons Collaboration on the Physics of Learning and Neural Computation. The collaboration will study how large neural networks learn, reason and imagine, essentially peeking inside AI’s “black box.”