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Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data.

, , and . J. Mach. Learn. Res., (2023)

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Nonlinear System Level Synthesis for Polynomial Dynamical Systems., , , and . CDC, page 3846-3852. IEEE, (2022)Optimized Sampling for Multiscale Dynamics., , , and . Multiscale Modeling & Simulation, 17 (1): 117-136 (2019)Randomized Dynamic Mode Decomposition., , , and . SIAM J. Applied Dynamical Systems, 18 (4): 1867-1891 (2019)From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction., , and . CoRR, (2020)Modal Analysis of Fluid Flows: Applications and Outlook, , , , , , , and . AIAA Journal, 58 (3): 998--1022 (March 2020)Dynamic Mode Decomposition for Background Modeling., , , , and . ICCV Workshops, page 1862-1870. IEEE Computer Society, (2017)Mobile Sensor Path Planning for Kalman Filter Spatiotemporal Estimation., , and . Sensors, 24 (12): 3727 (June 2024)From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction., , and . J. Mach. Learn. Res., (2021)Multi-resolution Dynamic Mode Decomposition for Foreground/Background Separation and Object Tracking., , , and . ICCV Workshops, page 921-929. IEEE Computer Society, (2015)Koopman-Assisted Reinforcement Learning., , , , and . CoRR, (2024)