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X-ORIGINAL-URL:https://micde.umich.edu
X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230920T150000
DTEND;TZID=America/Detroit:20230920T170000
DTSTAMP:20260625T045546
CREATED:20230822T205955Z
LAST-MODIFIED:20230912T214901Z
UID:10000623-1695222000-1695229200@micde.umich.edu
SUMMARY:MICDE Fellow Welcome Event
DESCRIPTION:MICDE is organizing a welcome event for its new fellows. During this event we will share with you the guidelines and process for utilizing your fellowship award funds\, as well as the resources and benefits you now have access to as a part of the MICDE community of fellows. Additionally\, you will receive a professionally-taken headshot free of charge (please dress accordingly). You will also have some time to introduce yourselves and get to know one another. Sandwiches\, cookies\, and beverages will be provided.
URL:https://micde.umich.edu/event/othermicde-fellow-welcome-event/
LOCATION:Rackham Graduate School (Horace H.) – Earl Lewis
CATEGORIES:Micde
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/08/MICDE-Fellow-Welcome-Event.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230921T110000
DTEND;TZID=America/Detroit:20230921T123000
DTSTAMP:20260625T045546
CREATED:20230914T172942Z
LAST-MODIFIED:20231018T162319Z
UID:10000643-1695294000-1695299400@micde.umich.edu
SUMMARY:SciML Webinar: David Ruhe - Geometric Clifford Algebra Networks
DESCRIPTION:Speaker: David Ruhe (University of Amsterdam) \n\n\nSession Chair: Erik Bekkers (University of Amsterdam) \n\nAbstract: In this talk\, I will present Clifford Group Equivariant Neural Networks\, an innovative method for building E(n)-equivariant networks based on Clifford (geometric) algebras. First\, I will give an introduction to the Clifford algebra and its geometric applications. Then\, I will introduce the Clifford group and how it always acts through the orthogonal group. As such\, a parameterization that is equivariant to the Clifford group will automatically be equivariant to the orthogonal group of\, e.g.\, rotations and reflections. We show that any polynomial (under the algebra’s geometric product) is such a parameterization.  We propose several layers from these insights and conduct experiments in three-\, four-\, and five-dimensional spaces. One of these experiments even includes equivariance to the nondefinite O(1\,3) Lorentz group from the same code implementation. Finally\, I will provide guidance on how to utilize our codebase for implementing these algorithms.
URL:https://micde.umich.edu/event/sciml-webinar-david-ruhe-geometric-clifford-algebra-networks/
CATEGORIES:SciML Webinar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230922T150000
DTEND;TZID=America/Detroit:20230922T160000
DTSTAMP:20260625T045546
CREATED:20230823T205958Z
LAST-MODIFIED:20231002T135627Z
UID:10000624-1695394800-1695398400@micde.umich.edu
SUMMARY:MICDE / AIM Seminar: Lin Lin\, Professor of Mathematics at University of California Berkeley
DESCRIPTION:Bio: Lin Lin is a Professor in the Department of Mathematics at UC Berkeley\, and a Faculty Scientist in the Mathematics Group at Lawrence Berkeley National Laboratory. His research centers on solving quantum many-body problems by employing both classical and contemporary methods. These techniques prove valuable across various domains\, including quantum chemistry\, quantum physics\, materials science\, and quantum information theory. He has received the Sloan Research Fellowship (2015)\, the National Science Foundation CAREER award (2017)\, the Department of Energy Early Career award (2017)\, the (inaugural) SIAM Computational Science and Engineering (CSE) early career award (2017)\, the Presidential Early Career Awards for Scientists and Engineers (PECASE) (2019)\, the ACM Gordon Bell Prize (Team\, 2020)\, and the Simons Investigator in Mathematics award (2021). \nQuantum algorithms for eigenvalue problems\nThe problem of finding the smallest eigenvalue of a Hermitian matrix\, known as the ground state energy in quantum physics\, has broad applications. Recent years have witnessed significant algorithmic progresses including near-optimal asymptotic complexity\, algorithms with a minimal number of required logical qubits\, and even optimized preconstants. In this talk\, I will first introduce basic quantum algorithm concepts for a non-expert audience and overview these advancements. I will then introduce a recent progress in leveraging ideas from open quantum systems to solve the eigenvalue problem\, which allows us to start from a state with zero overlap with the target state. \n  \n\n  \nThe MICDE Fall 2023 Seminar Series is open to all. University of Michigan faculty and students interested in predicting and explaining the properties of materials using computer simulation are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery & Engineering (MICDE) and Applied & Interdisciplinary Mathematics (AIM). Prof. Lin will be hosted by Dr. Emanuel Gull\, Associate Professor of Theoretical Condensed Matter Physics. \nThis is an in-person event. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/workshop-seminaraim-seminar-lin-lin/
LOCATION:East Hall – 1084
CATEGORIES:Featured Events,Mathematics,Micde Seminar,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/08/Lin-Lin-small.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230926T123000
DTEND;TZID=America/Detroit:20230926T130000
DTSTAMP:20260625T045546
CREATED:20230913T145952Z
LAST-MODIFIED:20230921T195259Z
UID:10000631-1695731400-1695733200@micde.umich.edu
SUMMARY:MICDE Ph.D. Student Seminar: Haowei Sun
DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public\, but we ask that you register to attend the seminar. If you have any questions\, please email micde-events@umich.edu. \nRegister to attend this seminar \nTera City: Accurate and Efficient AV Safety Performance Evaluation\nThis talk is aiming at mitigating current simulation-based AV safety performance evaluation approaches. Tera City is composed of naturalistic driving environment construction and intelligent testing environment construction\, which provided accuracy and efficiency\, respectively. \nHaowei Sun\, Ph.D. candidate in Civil and Environmental Engineering and Scientific Computing \nHaowei Sun is a Ph.D. candidate at Civil Engineering\, Next Generation Transportation System Program. His research focus is mainly on the safety validation and verification of autonomous vehicles. \nRegister to attend this seminar
URL:https://micde.umich.edu/event/phd-seminar-haowei-sun/
LOCATION:2022 South Thayer Building
CATEGORIES:Civil and Environmental Engineering,Computation,Computational Science,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Michigan Engineering,Phd Seminar,Prospective Graduate Students,Rackham,Science,Scientific Computing,Seminar,Talk
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/09/Haowei-Sun.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230927T160000
DTEND;TZID=America/Detroit:20230927T170000
DTSTAMP:20260625T045546
CREATED:20230817T202936Z
LAST-MODIFIED:20230912T222916Z
UID:10000612-1695830400-1695834000@micde.umich.edu
SUMMARY:MICDE / MIDAS Graduate Information Session
DESCRIPTION:The educational programs represented are: \n\nPhD in Scientific Computing (MICDE)\nGraduate Certificate in Computational Discovery & Engineering (MICDE)\nGraduate Certificate in Computational Neuroscience (MICDE)\nGraduate Certificate in Data Science (MIDAS)\n\nThese programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range of applications – current and past students have come from a variety of home departments including Aerospace Engineering\, Applied Physics\, Biostatistics\, Biomedical Engineering\, Civil & Environmental Engineering\, Chemistry\, Chemical Engineering\, Climate and Space Sciences and Engineering\, Computational Medicine and Bioinformatics\, Ecology and Evolutionary Biology\, Earth and Environmental Sciences\, Epidemiology\, Health Behavior and Health Education\, Health Infrastructures & Learning Systems\, Information\, Industrial & Operations Engineering\, Kinesiology\, Linguistics\, Macromolecular Science & Engineering\, Math\, Molecular\, Cellular\, and Developmental Biology\, Mechanical Engineering\, Materials Science & Engineering\, Naval Architecture & Marine Engineering\, Nuclear Engineering & Radiological Sciences\, Neuroscience\, Pharmaceutical Sciences\, Physics\, Political Science\, Psychology\, Environment and Sustainability\, Sociology and Statistics.\nIf you have any questions about these programs or about the information session\, please reach out to MICDE (micde-contact@umich.edu) or MIDAS (midas-contact@umich.edu).
URL:https://micde.umich.edu/event/presentationgraduate-studies-in-computational-data-sciences-information-session/
LOCATION:Lurie Robert H. Engin. Ctr – Johnson Rooms\, 3rd floor
CATEGORIES:Computation,Computational Modeling,Computational Science,Computational Social Science,data,Data Science,Deep Learning,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Machine Learning,Micde,Michigan Engineering,Midas,Neuroscience,Prospective Graduate Students,Rackham,Research,Science,Scientific Computing
ATTACH;FMTTYPE=image/gif:https://micde.umich.edu/wp-content/uploads/2023/08/Info-session.gif
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230928T110000
DTEND;TZID=America/Detroit:20230928T123000
DTSTAMP:20260625T045546
CREATED:20230918T023335Z
LAST-MODIFIED:20231018T163755Z
UID:10000648-1695898800-1695904200@micde.umich.edu
SUMMARY:SciML Webinar: Bob Carpenter - Multiscale Generalized Hamiltonian Monte Carlo with Delayed Rejection
DESCRIPTION:Speaker: Bob Carpenter (Flatiron Institute) \n\n\nSession Chair: Sam Livingstone (University College London) \n\n\nAbstract: In this talk\, I will demonstrate how we can combine two ideas\, generalized Hamiltonian Monte Carlo and delayed rejection\, to derive a sampler that is as efficient as Hamiltonian Monte Carlo\, but is able to adapt its step size to deal with multiscale distributions\, much like a standard integrator for ordinary differential equations. A distribution is multiscale if its curvature has different scales in the posterior; a textbook example is Radford Neal’s funnel example derived from hierarchical priors\, which has a very flat mouth (corresponding to high population variance) and very highly curved neck (low population variance). No fixed step size allows exploration of its posterior. Generalized HMC allows us to take a single Hamiltonian step along the gradient at a time (which is equivalent to Metropolis-adjusted Langevin dynamics)\, but only refresh momentum partially (which makes it underdamped). The naive form of this algorithm does not work because momentum must be reversed to maintain detailed balance if the Metropolis step rejects. To maintain directed exploration\, we apply delayed rejection\, which allows a proposal rejected due to divergence of the Hamiltonian (from too large a step size in the first-order approximation of the dynamics) to be retried with a smaller step size (with a Hastings-style adjustment for the retry). We show that the combination of delayed rejection and GHMC allows sampling multiscale distributions which otherwise lead to biased samples in standard Hamiltonian Monte Carlo (including dynamic forms such as the no-U-turn sampler). In conclusion\, I will discuss some preliminary work on applying the the automatic tuning method using complementary parallel chains developed by Matt Hoffman and Pavel Sountsov for their sampler MEADS (which also uses generalized HMC\, but with an alternative approach to maintaining directed exploration based on work of Radford neal\, which will also describe). \n\nSlides: https://statmodeling.stat.columbia.edu/wp-content/uploads/2023/09/carpenter-sciml-webinar-2023.pdf
URL:https://micde.umich.edu/event/sciml-webinar-bob-carpenter-multiscale-generalized-hamiltonian-monte-carlo-with-delayed-rejection/
CATEGORIES:Sciml,SciML Webinar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230929T120000
DTEND;TZID=America/Detroit:20230929T130000
DTSTAMP:20260625T045546
CREATED:20230817T202936Z
LAST-MODIFIED:20230912T223037Z
UID:10000610-1695988800-1695992400@micde.umich.edu
SUMMARY:MICDE / MIDAS Graduate Information Session
DESCRIPTION:The educational programs represented are: \n\nPhD in Scientific Computing (MICDE)\nGraduate Certificate in Computational Discovery & Engineering (MICDE)\nGraduate Certificate in Computational Neuroscience (MICDE)\nGraduate Certificate in Data Science (MIDAS)\n\nThese programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range of applications – current and past students have come from a variety of home departments including Aerospace Engineering\, Applied Physics\, Biostatistics\, Biomedical Engineering\, Civil & Environmental Engineering\, Chemistry\, Chemical Engineering\, Climate and Space Sciences and Engineering\, Computational Medicine and Bioinformatics\, Ecology and Evolutionary Biology\, Earth and Environmental Sciences\, Epidemiology\, Health Behavior and Health Education\, Health Infrastructures & Learning Systems\, Information\, Industrial & Operations Engineering\, Kinesiology\, Linguistics\, Macromolecular Science & Engineering\, Math\, Molecular\, Cellular\, and Developmental Biology\, Mechanical Engineering\, Materials Science & Engineering\, Naval Architecture & Marine Engineering\, Nuclear Engineering & Radiological Sciences\, Neuroscience\, Pharmaceutical Sciences\, Physics\, Political Science\, Psychology\, Environment and Sustainability\, Sociology and Statistics.\nIf you have any questions about these programs or about the information session\, please reach out to MICDE (micde-contact@umich.edu) or MIDAS (midas-contact@umich.edu).
URL:https://micde.umich.edu/event/presentationgraduate-studies-in-computational-data-sciences-information-session-2-2/
LOCATION:1100 North University Building – 1528
CATEGORIES:Computation,Computational Modeling,Computational Science,Computational Social Science,data,Data Science,Deep Learning,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,In Person,Interdisciplinary,Machine Learning,Micde,Michigan Engineering,Midas,Neuroscience,Prospective Graduate Students,Rackham,Research,Science,Scientific Computing
ATTACH;FMTTYPE=image/gif:https://micde.umich.edu/wp-content/uploads/2023/08/Info-session.gif
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