Visualizing vortex clusters in the wake of a high-speed train. - Simon Ferrari; Yaoping Hu; Robert J. Martinuzzi; Eurika Kaiser; Bernd R. Noack; Jan Östh; Sinisa Krajnovic (SMC, 2017)

Dynamic mode decomposition for compressive system identification. - Zhe Bai; Eurika Kaiser; Joshua L. Proctor; J. Nathan Kutz; Steven L. Brunton (CoRR, 2017)

Discovering Conservation Laws from Data for Control. - Eurika Kaiser; J. Nathan Kutz; Steven L. Brunton (CDC, 2018)

Sparsity enabled cluster reduced-order models for control. - Eurika Kaiser; Marek Morzynski; Guillaume Daviller; J. Nathan Kutz; Bingni W. Brunton; Steven L. Brunton (J. Comput. Phys., 2018)

Learning Discrepancy Models From Experimental Data. - Kadierdan Kaheman; Eurika Kaiser; Benjamin Strom; J. Nathan Kutz; Steven L. Brunton (CoRR, 2019)

Optimized Sampling for Multiscale Dynamics. - Krithika Manohar; Eurika Kaiser; Steven L. Brunton; J. Nathan Kutz (Multiscale Model. Simul., 2019)

Principal Component Trajectories (PCT): Nonlinear dynamics as a superposition of time-delayed periodic orbits. - Daniel Dylewsky; Eurika Kaiser; Steven L. Brunton; J. Nathan Kutz (CoRR, 2020)

Deep reinforcement learning for optical systems: A case study of mode-locked lasers. - Chang Sun; Eurika Kaiser; Steven L. Brunton; J. Nathan Kutz (Mach. Learn. Sci. Technol., 2020)

Time-Delay Observables for Koopman: Theory and Applications. - Mason Kamb; Eurika Kaiser; Steven L. Brunton; J. Nathan Kutz (SIAM J. Appl. Dyn. Syst., 2020)

SINDy with Control: A Tutorial. - Urban Fasel; Eurika Kaiser; J. Nathan Kutz; Bingni W. Brunton; Steven L. Brunton (CDC, 2021)

Data-driven discovery of Koopman eigenfunctions for control. - Eurika Kaiser; J. Nathan Kutz; Steven L. Brunton (Mach. Learn. Sci. Technol., 2021)

Modern Koopman Theory for Dynamical Systems. - Steven L. Brunton; Marko Budisic; Eurika Kaiser; J. Nathan Kutz (SIAM Rev., 2022)

Control of Vortex Dynamics using Invariants. - Kartik Krishna; Aditya G. Nair; Anand Krishnan; Steven L. Brunton; Eurika Kaiser (CoRR, 2023)

dynamicslab/pykoopman: v1.0.9. - Shaowu Pan; Eurika Kaiser; Brian M. de Silva; J. Nathan Kutz; Steven L. Brunton (Zenodo, 2024)

PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator. - Shaowu Pan; Eurika Kaiser; Brian M. de Silva; J. Nathan Kutz; Steven L. Brunton (Zenodo, 2024)

PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator. - Shaowu Pan; Eurika Kaiser; Brian M. de Silva; J. Nathan Kutz; Steven L. Brunton (Zenodo, 2024)

PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator. - Shaowu Pan; Eurika Kaiser; Brian M. de Silva; J. Nathan Kutz; Steven L. Brunton (J. Open Source Softw., 2024)