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ORCIDEurika Kaiser
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2020 – today
- 2024
[j7]Shaowu Pan
, Eurika Kaiser, Brian M. de Silva, J. Nathan Kutz, Steven L. Brunton:
PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator. J. Open Source Softw. 9(96): 5881 (2024)- 2023
- [i7]Shaowu Pan, Eurika Kaiser, Brian M. de Silva, J. Nathan Kutz, Steven L. Brunton:
PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator. CoRR abs/2306.12962 (2023) - [i6]Kartik Krishna, Aditya G. Nair, Anand Krishnan, Steven L. Brunton, Eurika Kaiser:
Control of Vortex Dynamics using Invariants. CoRR abs/2308.03920 (2023) - 2022
- [j6]Steven L. Brunton, Marko Budisic, Eurika Kaiser, J. Nathan Kutz:
Modern Koopman Theory for Dynamical Systems. SIAM Rev. 64(2): 229-340 (2022) - 2021
- [j5]Eurika Kaiser, J. Nathan Kutz, Steven L. Brunton:
Data-driven discovery of Koopman eigenfunctions for control. Mach. Learn. Sci. Technol. 2(3): 35023 (2021) - [c3]Urban Fasel, Eurika Kaiser, J. Nathan Kutz, Bingni W. Brunton, Steven L. Brunton:
SINDy with Control: A Tutorial. CDC 2021: 16-21 - [i5]Steven L. Brunton, Marko Budisic, Eurika Kaiser, J. Nathan Kutz:
Modern Koopman Theory for Dynamical Systems. CoRR abs/2102.12086 (2021) - 2020
- [j4]Chang Sun, Eurika Kaiser, Steven L. Brunton, J. Nathan Kutz:
Deep reinforcement learning for optical systems: A case study of mode-locked lasers. Mach. Learn. Sci. Technol. 1(4): 45013 (2020) - [j3]Mason Kamb, Eurika Kaiser, Steven L. Brunton, J. Nathan Kutz:
Time-Delay Observables for Koopman: Theory and Applications. SIAM J. Appl. Dyn. Syst. 19(2): 886-917 (2020) - [i4]Daniel Dylewsky, Eurika Kaiser, Steven L. Brunton, J. Nathan Kutz:
Principal Component Trajectories (PCT): Nonlinear dynamics as a superposition of time-delayed periodic orbits. CoRR abs/2005.14321 (2020)
2010 – 2019
- 2019
- [j2]Krithika Manohar, Eurika Kaiser, Steven L. Brunton, J. Nathan Kutz:
Optimized Sampling for Multiscale Dynamics. Multiscale Model. Simul. 17(1): 117-136 (2019) - [i3]Kadierdan Kaheman, Eurika Kaiser, Benjamin Strom, J. Nathan Kutz, Steven L. Brunton:
Learning Discrepancy Models From Experimental Data. CoRR abs/1909.08574 (2019) - 2018
- [j1]Eurika Kaiser, Marek Morzynski, Guillaume Daviller, J. Nathan Kutz, Bingni W. Brunton, Steven L. Brunton:
Sparsity enabled cluster reduced-order models for control. J. Comput. Phys. 352: 388-409 (2018) - [c2]Eurika Kaiser, J. Nathan Kutz, Steven L. Brunton:
Discovering Conservation Laws from Data for Control. CDC 2018: 6415-6421 - [i2]Eurika Kaiser, J. Nathan Kutz, Steven L. Brunton:
Discovering conservation laws from data for control. CoRR abs/1811.00961 (2018) - 2017
- [c1]Simon Ferrari, Yaoping Hu, Robert J. Martinuzzi, Eurika Kaiser, Bernd R. Noack, Jan Östh, Sinisa Krajnovic:
Visualizing vortex clusters in the wake of a high-speed train. SMC 2017: 683-688 - [i1]Zhe Bai, Eurika Kaiser, Joshua L. Proctor, J. Nathan Kutz, Steven L. Brunton:
Dynamic mode decomposition for compressive system identification. CoRR abs/1710.07737 (2017)
Coauthor Index
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