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Machine Learning for Fluid Mechanics, , and . Annual Review of Fluid Mechanics, (January 2020)Sparse Principal Component Analysis via Variable Projection., , , , , and . SIAM J. Appl. Math., 80 (2): 977-1002 (2020)A Unified Sparse Optimization Framework to Learn Parsimonious Physics-Informed Models From Data., , , , and . IEEE Access, (2020)Discovering governing equations from data by sparse identification of nonlinear dynamical systems, , and . Proceedings of the National Academy of Sciences, 113 (15): 3932-3937 (2016)Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders., , , and . CoRR, (2022)SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning., , , and . CoRR, (2024)Extraction of instantaneous frequencies and amplitudes in nonstationary time-series data., , , , and . CoRR, (2021)Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery., , , and . CoRR, (2023)Deep Learning of Conjugate Mappings., , and . CoRR, (2021)Deeptime: a Python library for machine learning dynamical models from time series data., , , , , , , , , and 1 other author(s). CoRR, (2021)