Machine Learning, Dynamical Systems and Control

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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

 

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Next Talk

 

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January 22, 2021

 

Prof. Zico Kolter
Carnegie Mellon University

 

Title: Incorporating physics and decision making into deep learning via implicit layers

 

 

 

Upcoming Talks and Schedule

 


February 5, 2020: Tamara Kolda, Sandia National Laboratories

February 19, 2020: Beverly McKeon, California Institute of Technology

March 5, 2020: Anima Anandkumar, California Institute of Technology

 

 

 

Previous Talks

 

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January 8, 2021 [ VIEW ]

 

Prof. Andrea Bertozzi
UCLA

 

Title: Total variation minimization on graphs for semisupervised and unsupervised machine learning

 

 

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December 11, 2020 [ VIEW ]

 

Prof. Cecilia Clementi
FU Berlin

 

Title: Designing molecular models by machine learning and experimental data

 

 

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November 13, 2020 [ VIEW ]

 

Prof. David Duvenaud
Vector Institute, University of Toronto

 

Title: Handling messy time series with large latent-variable models

 

 

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October 30, 2020 [ VIEW ]

 

Prof. Jeff Moehlis
Mechanical Engineering, UC Santa Barbara

 

Title: Learning to control population of neurons

 

 

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October 16, 2020 [ VIEW ]

 

Prof. Michael Mahoney
Statistics, Berkeley

 

Title: Dynamical systems and machine learning: combining in a principled way data-driven models and domain-driven models

 

 

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October 2, 2020 [ VIEW ]

 

Prof. George Em Karniadakis
Applied Mathematics, Brown University

 

Title: From PINNs to DeepOnets: Approximating functions, functionals, and operators using deep neural networks for diverse applications