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Learning Linear Embeddings for Non-Linear Network Dynamics with Koopman Message Passing
Recently, Koopman operator theory has become a powerful tool for developing linear representations of non-linear dynamical systems.
Joint Track Machine Learning: An autonomous method for measuring 6DOF TKA kinematics from single-plane x-ray images
Even state-of-the-art techniques require human-supervised initialization or human supervision throughout the entire optimization process.
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