Data-Driven Methods for Science and Engineering Seminar
University of Washington, Seattle
Organizers: Joe Bakarji, Jason Bramburger, Henning Lange & Jordan Snyder
Faculty Organizers: Steven L. Brunton, J. Nathan Kutz & Krithika Manohar
Faculty Organizers: Steven L. Brunton, J. Nathan Kutz & Krithika Manohar
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Next Talk
Prof. Cecilia Clementi
FU Berlin
FU Berlin
December 11, 2020
Title: Designing molecular models by machine learning and experimental data
Upcoming Talks and Schedule
January 8, 2020: Andrea Bertozzi, UCLA
January 22, 2020: Zico Kolter, Carnegie Mellon University
February 5, 2020: Tamara Kolda, Sandia National Laboratories
Previous Talks
Prof. David Duvenaud
Vector Institute, University of Toronto
Vector Institute, University of Toronto
November 13, 2020
Title: Handling messy time series with large latent-variable models
Prof. Jeff Moehlis
Mechanical Engineering, UC Santa Barbara
Mechanical Engineering, UC Santa Barbara
October 30, 2020
Title: Learning to control population of neurons
Prof. Michael Mahoney
Statistics, Berkeley
Statistics, Berkeley
October 16, 2020 [ VIEW ]
Title: Dynamical systems and machine learning: combining in a principled way data-driven models and domain-driven models
Prof. George Em Karniadakis
Applied Mathematics, Brown University
Applied Mathematics, Brown University
October 2, 2020 [ VIEW ]
Title: From PINNs to DeepOnets: Approximating functions, functionals, and operators using deep neural networks for diverse applications