On the Barriers of Robust Koopman Learning
Offered By: Fields Institute via YouTube
Course Description
Overview
Explore the challenges and limitations of robust Koopman learning in this 27-minute conference talk by Matthew Colbrook from the University of Cambridge. Delivered as part of the Fourth Symposium on Machine Learning and Dynamical Systems at the Fields Institute, delve into the theoretical and practical barriers that researchers face when applying Koopman operator theory to complex dynamical systems. Gain insights into the latest developments in this field and understand the potential implications for future research in machine learning and dynamical systems.
Syllabus
On the Barriers of Robust Koopman Learning
Taught by
Fields Institute
Related Courses
Introduction to Dynamical Systems and ChaosSanta Fe Institute via Complexity Explorer Nonlinear Dynamics 1: Geometry of Chaos
Georgia Institute of Technology via Independent Linear Differential Equations
Boston University via edX Algorithmic Information Dynamics: From Networks to Cells
Santa Fe Institute via Complexity Explorer Nonlinear Differential Equations: Order and Chaos
Boston University via edX