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Joshua L. Proctor
Joshua L. Proctor
Principal Research Scientist, Bill and Melinda Gates Foundation
Verified email at idmod.org
Title
Cited by
Cited by
Year
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
SL Brunton, JL Proctor, JN Kutz
Proceedings of the national academy of sciences 113 (15), 3932-3937, 2016
40812016
Dynamic mode decomposition: data-driven modeling of complex systems
JN Kutz, SL Brunton, BW Brunton, JL Proctor
Society for Industrial and Applied Mathematics, 2016
17012016
Data-driven discovery of partial differential equations
SH Rudy, SL Brunton, JL Proctor, JN Kutz
Science advances 3 (4), e1602614, 2017
14682017
Dynamic Mode Decomposition with control
JL Proctor, SL Brunton, JN Kutz
SIAM Journal on Applied Dynamical Systems 15 (1), 142–161, 2016
10312016
Koopman invariant subspaces and finite linear representations of nonlinear dynamical systems for control
SL Brunton, BW Brunton, JL Proctor, JN Kutz
PloS one 11 (2), e0150171, 2016
5752016
Chaos as an intermittently forced linear system
SL Brunton, BW Brunton, JL Proctor, E Kaiser, JN Kutz
Nature communications 8 (1), 19, 2017
5562017
Inferring biological networks by sparse identification of nonlinear dynamics
NM Mangan, SL Brunton, JL Proctor, JN Kutz
IEEE Transactions on Molecular, Biological, and Multi-Scale Communications 2 …, 2016
4232016
Generalizing Koopman theory to allow for inputs and control
JL Proctor, SL Brunton, JN Kutz
SIAM Journal on Applied Dynamical Systems 17 (1), 909-930, 2018
3602018
Sparse identification of nonlinear dynamics with control (SINDYc)
SL Brunton, JL Proctor, JN Kutz
IFAC-PapersOnLine 49 (18), 710-715, 2016
3162016
Model selection for dynamical systems via sparse regression and information criteria
NM Mangan, JN Kutz, SL Brunton, JL Proctor
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2017
2922017
Discovering dynamic patterns from infectious disease data using dynamic mode decomposition
JL Proctor, PA Eckhoff
International health 7 (2), 139-145, 2015
2342015
Modeling malaria genomics reveals transmission decline and rebound in Senegal
RF Daniels, SF Schaffner, EA Wenger, JL Proctor, HH Chang, W Wong, ...
Proceedings of the National Academy of Sciences 112 (22), 7067-7072, 2015
1962015
Compressed sensing and dynamic mode decomposition
SL Brunton, JL Proctor, JH Tu, JN Kutz
Journal of computational dynamics 2 (2), 165-191, 2016
1692016
Model selection for hybrid dynamical systems via sparse regression
NM Mangan, T Askham, SL Brunton, JN Kutz, JL Proctor
Proceedings of the Royal Society A 475 (2223), 20180534, 2019
1092019
Dynamic mode decomposition for compressive system identification
Z Bai, E Kaiser, JL Proctor, JN Kutz, SL Brunton
AIAA Journal 58 (2), 561-574, 2020
982020
Sparse sensor placement optimization for classification
BW Brunton, SL Brunton, JL Proctor, JN Kutz
SIAM Journal on Applied Mathematics 76 (5), 2099-2122, 2016
952016
Passive mode-locking by use of waveguide arrays
JL Proctor, JN Kutz
Optics letters 30 (15), 2013-2015, 2005
932005
Applied Koopman Theory for Partial Differential Equations and Data‐Driven Modeling of Spatio‐Temporal Systems
J Nathan Kutz, JL Proctor, SL Brunton
Complexity 2018 (1), 6010634, 2018
852018
The seasonality of diarrheal pathogens: A retrospective study of seven sites over three years
DL Chao, A Roose, M Roh, KL Kotloff, JL Proctor
PLoS neglected tropical diseases 13 (8), e0007211, 2019
822019
Nonlinear mode-coupling for passive mode-locking: application of waveguide arrays, dual-core fibers, and/or fiber arrays
J Proctor, JN Kutz
Optics express 13 (22), 8933-8950, 2005
802005
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