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Markus Quade
Markus Quade
Ambrosys GmbH
Verified email at ambrosys.de - Homepage
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Cited by
Year
PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data
B de Silva, K Champion, M Quade, JC Loiseau, J Kutz, S Brunton
Journal of Open Source Software 5 (49), 2104, 2020
199*2020
Sparse identification of nonlinear dynamics for rapid model recovery
M Quade, M Abel, J Nathan Kutz, SL Brunton
Chaos: An Interdisciplinary Journal of Nonlinear Science 28 (6), 2018
1692018
Prediction of Dynamical Systems by Symbolic Regression
M Quade, M Abel, K Shafi, RK Niven, BR Noack
PHYSICAL REVIEW E 94 (1), 2016
1312016
Potsdam Wolf-Rayet model atmosphere grids for WN stars
H Todt, A Sander, R Hainich, WR Hamann, M Quade, T Shenar
Astronomy & Astrophysics 579, A75, 2015
972015
Bayesian identification of dynamical systems
RK Niven, A Mohammad-Djafari, L Cordier, M Abel, M Quade
Multidisciplinary Digital Publishing Institute Proceedings 33 (1), 33, 2020
262020
Synchronization control of oscillator networks using symbolic regression
J Gout, M Quade, K Shafi, RK Niven, M Abel
Nonlinear Dynamics 91, 1001-1021, 2018
162018
Machine learning control—Explainable and analyzable methods
M Quade, T Isele, M Abel
Physica D: Nonlinear Phenomena 412, 132582, 2020
12*2020
Glyph: Symbolic Regression Tools
M Quade, J Gout, M Abel
Journal of Open Research Software 7 (1), 2019
112019
Open-and closed-loop control investigations of unsteady Coanda actuation on a high-lift configuration
Y El Sayed M, P Oswald, S Sattler, P Kumar, R Radespiel, C Behr, ...
2018 Flow Control Conference, 3684, 2018
82018
Dynamical system identification by Bayesian inference
RK Niven, MD Ali, L Cordier, M Abel, M Quade
22nd Australasian Fluid Mechanics Conference AFMC2020, 2020
32020
Dynamical System Identification, Model Selection and Model Uncertainty Quantification by Bayesian Inference
RK Niven, L Cordier, A Mohammad-Djafari, M Abel, M Quade
arXiv preprint arXiv:2401.16943, 2024
22024
Symbolic regression for identification, prediction, and control of dynamical systems
M Quade
Universität Potsdam, 2018
22018
Mantik: A workflow platform for the development of artificial intelligence on high-performance computing infrastructures
T Seidler, F Emmerich, K Ehlert, R Berner, O Nagel-Kanzler, N Schultz, ...
Journal of Open Source Software 9 (98), 6136, 2024
12024
Easing and promoting the application of ML and AI in earth system sciences-introducing the KI: STE platform
T Seidler, N Schultz, M Quade, C Autermann, B Gräler, PD Abel
EGU General Assembly Conference Abstracts, EGU21-9632, 2021
12021
Bayesian Regularization for System Identification, Uncertainty Quantification and Model Selection
R Niven, L Cordier, M Abel, M Quade, A Mohammad-Djafari
Bulletin of the American Physical Society, 2023
2023
Rainfall-Runoff Analysis by Bayesian Inverse Methods
RK Niven, L Cordier, MW Abel, M Quade, A Mohammad-Djafari
23rd International Congress on Modelling and Simulation (MODSIM2019), 2019
2019
A Bayesian Reinterpretation of Dynamical System Identification by Sparse Regression Methods
RK Niven, L Cordier, M Abel, M Quade, A Mohammad-Djafari
APS Division of Fluid Dynamics Meeting Abstracts, L10. 001, 2019
2019
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