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X-ORIGINAL-URL:https://cmsa.fas.harvard.edu
X-WR-CALDESC:Events for CMSA
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190426T143000
DTEND;TZID=America/New_York:20200426T153000
DTSTAMP:20260424T144830
CREATED:20240212T100818Z
LAST-MODIFIED:20240221T092817Z
UID:10001958-1556289000-1587915000@cmsa.fas.harvard.edu
SUMMARY:4/26/2019 General Relativity Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/4-26-2019-general-relativity-seminar/
LOCATION:MA
CATEGORIES:General Relativity Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200302T120000
DTEND;TZID=America/New_York:20200302T130000
DTSTAMP:20260424T144830
CREATED:20240212T080742Z
LAST-MODIFIED:20240212T080742Z
UID:10001882-1583150400-1583154000@cmsa.fas.harvard.edu
SUMMARY:3/02/2020 Math Physics Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-02-2020-math-physics-seminar/
LOCATION:MA
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200303T103000
DTEND;TZID=America/New_York:20200303T120000
DTSTAMP:20260424T144830
CREATED:20240212T080445Z
LAST-MODIFIED:20240212T080445Z
UID:10001881-1583231400-1583236800@cmsa.fas.harvard.edu
SUMMARY:3/3/2020 Quantum Matter Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-3-2020-quantum-matter-seminar/
LOCATION:MA
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200304T090000
DTEND;TZID=America/New_York:20200306T163000
DTSTAMP:20260424T144830
CREATED:20230715T073919Z
LAST-MODIFIED:20250328T144548Z
UID:10000126-1583312400-1583512200@cmsa.fas.harvard.edu
SUMMARY:Mirror symmetry\, gauged linear sigma models\, matrix factorizations\, and related topics
DESCRIPTION:On March 4-6\, 2020 the CMSA will be hosting a three-day workshop on Mirror symmetry\, Gauged linear sigma models\, Matrix factorizations\, and related topics as part of the Simons Collaboration on Homological Mirror Symmetry. The workshop will be held in room G10 of the CMSA\, located at 20 Garden Street\, Cambridge\, MA.  \nSpeakers:  \n\nAndrei Căldăraru\, University of Wisconsin\nDavid Favero\, University of Alberta\nElana Kalashnikov\, Harvard University\nTsung-Ju Lee\, CMSA\nConan Leung\, CUHK\nDavid Morrison\, University of California\, Santa Barbara\nMauricio Romo\, YMSC\nYun Shi\, CMSA\nMark Shoemaker\, Colorado State University\nRachel Webb\, University of Michigan\nChris Woodward\, Rutgers University\nGuangbo Xu\, Texas A&M University\nChenglong Yu\, University of Pennsylvania\n\nSchedule \nVideos from the workshop are available in the Youtube playlist.
URL:https://cmsa.fas.harvard.edu/event/mirror-symmetry-gauged-linear-sigma-models-matrix-factorizations-and-related-topics/
LOCATION:CMSA Room G10\, CMSA\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:Event,Workshop
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/Mirror-Symmetry-poster-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200306T103000
DTEND;TZID=America/New_York:20200306T113000
DTSTAMP:20260424T144830
CREATED:20240209T115442Z
LAST-MODIFIED:20240209T115442Z
UID:10001872-1583490600-1583494200@cmsa.fas.harvard.edu
SUMMARY:3/06/2020 General Relativity Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-06-2020-general-relativity-seminar/
LOCATION:MA
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200309T103000
DTEND;TZID=America/New_York:20200309T110000
DTSTAMP:20260424T144830
CREATED:20240209T114738Z
LAST-MODIFIED:20240209T114738Z
UID:10001869-1583749800-1583751600@cmsa.fas.harvard.edu
SUMMARY:3/9/2020 Special Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-9-2020-special-seminar/
LOCATION:MA
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200309T120000
DTEND;TZID=America/New_York:20200309T130000
DTSTAMP:20260424T144830
CREATED:20240212T074241Z
LAST-MODIFIED:20240212T074241Z
UID:10001878-1583755200-1583758800@cmsa.fas.harvard.edu
SUMMARY:3/9/2020 Mathematical Physics Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-9-2020-mathematical-physics-seminar/
LOCATION:MA
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200310T103000
DTEND;TZID=America/New_York:20200310T113000
DTSTAMP:20260424T144830
CREATED:20240212T073508Z
LAST-MODIFIED:20240212T073508Z
UID:10001876-1583836200-1583839800@cmsa.fas.harvard.edu
SUMMARY:3/10/2020 Special Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-10-2020-special-seminar/
LOCATION:MA
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200311T103000
DTEND;TZID=America/New_York:20200311T120000
DTSTAMP:20260424T144830
CREATED:20240209T115223Z
LAST-MODIFIED:20240209T115223Z
UID:10001871-1583922600-1583928000@cmsa.fas.harvard.edu
SUMMARY:3/11/2020 Quantum Matter Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-11-2020-quantum-matter-seminar/
LOCATION:MA
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200312T160000
DTEND;TZID=America/New_York:20200312T170000
DTSTAMP:20260424T144830
CREATED:20240212T074946Z
LAST-MODIFIED:20240507T202659Z
UID:10001879-1584028800-1584032400@cmsa.fas.harvard.edu
SUMMARY:Math\, Music and the Mind; Mathematical analysis of the performed Trio Sonatas of J. S. Bach
DESCRIPTION:Speaker: Daniel Forger (UMich)\n\nLocation: CMSA building\, 20 Garden Street\, Room G10\n\nTitle: Math\, Music and the Mind; Mathematical analysis of the performed Trio Sonatas of J. S. Bach\n\nAbstract: I will describe a collaborative project with the University of Michigan Organ Department to perfectly digitize many performances of difficult organ works (the Trio Sonatas by J.S. Bach) by students and faculty at many skill levels. We use these digitizations\, and direct representations of the score to ask how music should encoded in the mind. Our results challenge the modern mathematical theory of music encoding\, e.g.\, based on orbifolds\, and reveal surprising new mathematical patterns in Bach’s music. We also discover ways in which biophysical limits of neuronal computation may limit performance.
URL:https://cmsa.fas.harvard.edu/event/3-12-2020-colloquium/
LOCATION:CMSA\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:Colloquium
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/CMSA-Colloquium-03.12.20-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200313T140000
DTEND;TZID=America/New_York:20200313T150000
DTSTAMP:20260424T144830
CREATED:20230715T074115Z
LAST-MODIFIED:20240227T094116Z
UID:10000127-1584108000-1584111600@cmsa.fas.harvard.edu
SUMMARY:CMSA Math-Science Literature Lecture: Shiing-Shen Chern as a Great Geometer of 20th Century
DESCRIPTION:Shing-Tung Yau (Harvard) \nTitle: Shiing-Shen Chern as a Great Geometer of 20th Century \nVideo | Slides | Article
URL:https://cmsa.fas.harvard.edu/event/cmsa-math-science-literature-lecture_yau/
LOCATION:Virtual
CATEGORIES:Event,Math Science Literature Lecture Series
ATTACH;FMTTYPE=image/jpeg:https://cmsa.fas.harvard.edu/media/Yaulecture_Poster-pdf.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200323T120000
DTEND;TZID=America/New_York:20200323T130000
DTSTAMP:20260424T144830
CREATED:20240209T114505Z
LAST-MODIFIED:20240209T114505Z
UID:10001867-1584964800-1584968400@cmsa.fas.harvard.edu
SUMMARY:3/23/2020 Math Physics Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-23-2020-math-physics-seminar/
LOCATION:MA
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200325T100000
DTEND;TZID=America/New_York:20200429T140000
DTSTAMP:20260424T144830
CREATED:20230715T074440Z
LAST-MODIFIED:20250328T195935Z
UID:10000128-1585130400-1588168800@cmsa.fas.harvard.edu
SUMMARY:Frontiers in Applied Mathematics and Computation
DESCRIPTION:Together with the School of Engineering and Applied Sciences\, the CMSA will be hosting a lecture series on the Frontiers in Applied Mathematics and Computation. Talks in this series will aim to highlight current research trends at the interface of applied math and computation and will explore the application of these trends to challenging scientific\, engineering\, and societal problems. \nLectures will take place on March 25\, April 1\, and April 29\, 2021. \nSpeakers: \n\nGeorge Biros (U.T. Austin)\nLaura Grigori (INRIA Paris)\nSamory K. Kpotufe (Columbia)\nJonas Martin Peters (University of Copenhagen)\nJoseph M. Teran (UCLA)\n\n\nThe schedule below will be updated as talks are confirmed. \n  \n\n\n\nDate/Time\nSpeaker\nTitle/Abstract\n\n\n\n\n3/25/2021\n10:00 – 11:00am ET\nJoseph M. Teran\nTitle: Affine-Particle-In-Cell with Conservative Resampling and Implicit Time Stepping for Surface Tension Forces \nAbstract: The Particle-In-Cell (PIC) method of Harlow is one of the first and most widely used numerical methods for Partial Differential Equations (PDE) in computational physics. Its relative efficiency\, versatility and intuitive implementation have made it particularly popular in computational incompressible flow\, plasma physics and large strain elastoplasticity. PIC is characterized by its dual particle/grid (Lagrangian/Eulerian) representation of material where particles are generally used to track material transport in a Lagrangian way and a structured Eulerian grid is used to discretize remaining spatial derivatives in the PDE. I will discuss the importance of conserving linear and angular momentum when switching between these two representations and the recent Affine-Particle-In-Cell (APIC) extension to PIC designed for this conservation. I will also discuss a recent APIC technique for discretizing surface tension forces and their linearizations needed for implicit time stepping. This technique is characterized by a novel surface resampling strategy and I will discuss a generalization of the APIC conservation to this setting.\n\n\n4/1/2021\n9:00 – 10:00am ET\nGeorge Biros\nTitle: Inverse biophysical modeling and its application to neurooncology \nAbstract: A predictive\, patient-specific\, biophysical model of tumor growth would be an invaluable tool for causally connecting diagnostics with predictive medicine. For example\, it could be used for tumor grading\, characterization of the tumor microenvironment\, recurrence prediction\, and treatment planning\,  e.g.\, chemotherapy protocol or enrollment eligibility for clinical trials. Such a model also would provide an important bridge between molecular drivers of tumor growth and imaging-based phenotypic signatures\, and thus\,  help identify and quantify mechanism-based associations between these two. Unfortunately\, such a predictive biophysical model does not exist. Existing models undergoing clinical evaluation are too simple–they do not even capture the MRI phenotype. Although many highly complex models have been proposed\, the major hurdle in deploying them clinically is their calibration and validation. \nIn this talk\, I will discuss the challenges related to the calibration and validation of biophysical models\, and in particular the mathematical structure of the underlying inverse problems. I will also present a new algorithm that localizes the tumor origin within a few millimeters.\n\n\n4/1/2021\n10:00 – 11:00am ET\nSamory K. Kpotufe\nTitle: From Theory to Clustering \nAbstract: Clustering is a basic problem in data analysis\, consisting of partitioning data into meaningful groups called clusters. Practical clustering procedures tend to meet two criteria: flexibility in the shapes and number of clusters estimated\, and efficient processing. While many practical procedures might meet either of these criteria in different applications\, general guarantees often only hold for theoretical procedures that are hard if not impossible to implement. A main aim is to address this gap.\nWe will discuss two recent approaches that compete with state-of-the-art procedures\, while at the same time relying on rigorous analysis of clustering. The first approach fits within the framework of density-based clustering\, a family of flexible clustering approaches. It builds primarily on theoretical insights on nearest-neighbor graphs\, a geometric data structure shown to encode local information on the data density. The second approach speeds up kernel k-means\, a popular Hilbert space embedding and clustering method. This more efficient approach relies on a new interpretation – and alternative use – of kernel-sketching as a geometry-preserving random projection in Hilbert space.\nFinally\, we will present recent experimental results combining the benefits of both approaches in the IoT application domain.\nThe talk is based on various works with collaborators Sanjoy Dasgupta\, Kamalika Chaudhuri\, Ulrike von Luxburg\, Heinrich Jiang\, Bharath Sriperumbudur\, Kun Yang\, and Nick Feamster.\n\n\n4/29/2021\n12:00 – 1:00pm ET\nJonas Martin Peters\nTitle: Causality and Distribution Generalization \nAbstract: Purely predictive methods do not perform well when the test distribution changes too much from the training distribution. Causal models are known to be stable with respect to distributional shifts such as arbitrarily strong interventions on the covariates\, but do not perform well when the test distribution differs only mildly from the training distribution. We discuss anchor regression\, a framework that provides a trade-off between causal and predictive models. The method poses different (convex and non-convex) optimization problems and relates to methods that are tailored for instrumental variable settings. We show how similar principles can be used for inferring metabolic networks. If time allows\, we discuss extensions to nonlinear models and theoretical limitations of such methodology.\n\n\n4/29/2021\n1:00 – 2:00pm ET\nLaura Grigori\nTitle: Randomization and communication avoiding techniques for large scale linear algebra \nAbstract: In this talk we will discuss recent developments of randomization and communication avoiding techniques for solving large scale linear algebra operations. We will focus in particular on solving linear systems of equations and we will discuss a randomized process for orthogonalizing a set of vectors and its usage in GMRES\, while also exploiting mixed precision.  We will also discuss a robust multilevel preconditioner that allows to further accelerate solving large scale linear systems on parallel computers.
URL:https://cmsa.fas.harvard.edu/event/frontiers-in-applied-mathematics-and-computation/
LOCATION:Virtual
CATEGORIES:Event,Special Lectures
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/CDAM-poster.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200325T103000
DTEND;TZID=America/New_York:20200325T120000
DTSTAMP:20260424T144830
CREATED:20240209T112704Z
LAST-MODIFIED:20240209T112704Z
UID:10001857-1585132200-1585137600@cmsa.fas.harvard.edu
SUMMARY:3/25/2020 Quantum Matter seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-25-2020-quantum-matter-seminar/
LOCATION:MA
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200327T103000
DTEND;TZID=America/New_York:20200327T113000
DTSTAMP:20260424T144830
CREATED:20240209T112924Z
LAST-MODIFIED:20240216T104343Z
UID:10001858-1585305000-1585308600@cmsa.fas.harvard.edu
SUMMARY:3/27/2020 General Relativity Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-27-2020-general-relativity-seminar/
LOCATION:MA
CATEGORIES:Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200330T110000
DTEND;TZID=America/New_York:20200330T120000
DTSTAMP:20260424T144830
CREATED:20240209T114141Z
LAST-MODIFIED:20240209T114141Z
UID:10001864-1585566000-1585569600@cmsa.fas.harvard.edu
SUMMARY:3/30/2020 Math Physics Seminar
DESCRIPTION:
URL:https://cmsa.fas.harvard.edu/event/3-30-2020-math-physics-seminar/
LOCATION:MA
CATEGORIES:Seminars
END:VEVENT
END:VCALENDAR