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Ryan Mohr
Ryan Mohr
Senior Research Scientist, AIMdyn Inc.
Verified email at aimdyn.com
Title
Cited by
Cited by
Year
Applied koopmanism
M Budišić, R Mohr, I Mezić
Chaos: An Interdisciplinary Journal of Nonlinear Science 22 (4), 2012
8922012
ROK-induced cross-link formation stiffens passive muscle: reversible strain-induced stress softening in rabbit detrusor
JE Speich, L Borgsmiller, C Call, R Mohr, PH Ratz
American Journal of Physiology-Cell Physiology 289 (1), C12-C21, 2005
792005
Extended dynamic mode decomposition with learned koopman eigenfunctions for prediction and control
C Folkestad, D Pastor, I Mezic, R Mohr, M Fonoberova, J Burdick
2020 american control conference (acc), 3906-3913, 2020
662020
Data driven modal decompositions: analysis and enhancements
Z Drmac, I Mezic, R Mohr
SIAM Journal on Scientific Computing 40 (4), A2253-A2285, 2018
622018
Construction of eigenfunctions for scalar-type operators via Laplace averages with connections to the Koopman operator
R Mohr, I Mezić
arXiv preprint arXiv:1403.6559, 2014
572014
On the approximation of Koopman spectra for measure preserving transformations
N Govindarajan, R Mohr, S Chandrasekaran, I Mezic
SIAM Journal on Applied Dynamical Systems 18 (3), 1454-1497, 2019
262019
Data driven Koopman spectral analysis in Vandermonde--Cauchy form via the DFT: Numerical method and theoretical insights
Z Drmac, I Mezic, R Mohr
SIAM Journal on Scientific Computing 41 (5), A3118-A3151, 2019
222019
Applications of Koopman mode analysis to neural networks
I Manojlović, M Fonoberova, R Mohr, A Andrejčuk, Z Drmač, Y Kevrekidis, ...
arXiv preprint arXiv:2006.11765, 2020
172020
Spectral properties of the Koopman operator in the analysis of nonstationary dynamical systems
RM Mohr
University of California, Santa Barbara, 2014
112014
An operator theoretic view on pruning deep neural networks
WT Redman, M Fonoberova, R Mohr, IG Kevrekidis, I Mezic
arXiv preprint arXiv:2110.14856, 2021
102021
Identification of nonlinear systems using the infinitesimal generator of the koopman semigroup—a numerical implementation of the mauroy–goncalves method
Z Drmač, I Mezić, R Mohr
Mathematics 9 (17), 2075, 2021
9*2021
On least squares problems with certain Vandermonde--Khatri--Rao structure with applications to DMD
Z Drmac, I Mezic, R Mohr
SIAM Journal on Scientific Computing 42 (5), A3250-A3284, 2020
92020
Koopman principle eigenfunctions and linearization of diffeomorphisms
R Mohr, I Mezić
arXiv preprint arXiv:1611.01209, 2016
92016
Koopman mode analysis of agent-based models of logistics processes
J Hogg, M Fonoberova, I Mezić, R Mohr
Plos one 14 (9), e0222023, 2019
72019
An agent-based model of urban insurgence: Effect of gathering sites and Koopman mode analysis
M Fonoberova, I Mezić, J Mezić, R Mohr
PloS one 13 (10), e0205259, 2018
72018
On the approximation of Koopman spectra of measure-preserving flows
N Govindarajan, R Mohr, S Chandrasekaran, I Mezic
SIAM Journal on Applied Dynamical Systems 20 (1), 232-261, 2021
52021
Predicting the critical number of layers for hierarchical support vector regression
R Mohr, M Fonoberova, Z Drmač, I Manojlović, I Mezić
Entropy 23 (1), 37, 2020
52020
Algorithmic (semi-) conjugacy via Koopman operator theory
WT Redman, M Fonoberova, R Mohr, IG Kevrekidis, I Mezić
2022 IEEE 61st Conference on Decision and Control (CDC), 6006-6011, 2022
42022
Koopman spectrum and stability of cascaded dynamical systems
R Mohr, I Mezić
The Koopman Operator in Systems and Control: Concepts, Methodologies, and …, 2020
42020
A Koopman Operator-Based Prediction Algorithm and its Application to COVID-19 Pandemic
I Mezic, Z Drmac, N Crnjaric-Zic, S Macesic, M Fonoberova, R Mohr, ...
arXiv preprint arXiv:2304.13601, 2023
22023
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