Data-Driven discovery of governing physical laws and their parametric dependencies in engineering, physics and biology. - J. Nathan Kutz; Samuel H. Rudy; Alessandro Alla; Steven L. Brunton (CAMSAP, 2017)

Smoothing and parameter estimation by soft-adherence to governing equations. - Samuel H. Rudy; Steven L. Brunton; J. Nathan Kutz (J. Comput. Phys., 2019)

Deep learning of dynamics and signal-noise decomposition with time-stepping constraints. - Samuel H. Rudy; J. Nathan Kutz; Steven L. Brunton (J. Comput. Phys., 2019)

Data-Driven Identification of Parametric Partial Differential Equations. - Samuel H. Rudy; Alessandro Alla; Steven L. Brunton; J. Nathan Kutz (SIAM J. Appl. Dyn. Syst., 2019)

Sparse Methods for Automatic Relevance Determination. - Samuel H. Rudy; Themistoklis P. Sapsis (CoRR, 2020)

Output-weighted and relative entropy loss functions for deep learning precursors of extreme events. - Samuel H. Rudy; Themistoklis P. Sapsis (CoRR, 2021)