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Interpretable data-driven model discovery: dynamical systems, ROMs, and operators
Amirhossein Arzani
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Steve Brunton - Discovering interpretable and generalizable dynamical systems from data
Physics Informed Machine Learning
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Steve Brunton: "Discovering interpretable and generalizable dynamical systems from data"
Institute for Pure & Applied Mathematics (IPAM)
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Model Discovery with Autoencoders - Data-Driven Dynamics | Lecture 27
Jason Bramburger
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Dynamical systems and complex networks: A Koopman operator perspective
CMCC Channel
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Data-driven discovery of linear dynamical systems over graphs via dynamical sampling
Fields Institute
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Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics
Greg Bronevetsky
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J. Nathan Kutz (University of Washington): Data-driven model discovery and physics-informed learning
Learning, Computation, and Control Seminar
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