Journal Articles
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R. K. Niven, L. Cordier, A. Mohammad-Djafari, M. Abel, and M. Quade, Dynamical System Identification, Model Selection and Model Uncertainty Quantification by Bayesian Inference, Chaos, Jan. 2024.
[arXiv]
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T. Seidler, F. Emmerich, K. Ehlert, R. Berner, O. Nagel-Kanzler, N. Schultz, M. Quade, M. G. Schultz, and M. Abel, Mantik: A Workflow Platform for the Development of Artificial Intelligence on High-Performance Computing Infrastructures, Journal of Open Source Software, vol. 9, no. 98, 2024.
[DOI]
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B. de Silva, K. Champion, M. Quade, J.-C. Loiseau, J. Kutz, and S. Brunton, PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data, JOSS, vol. 5, no. 49, May 2020.
[DOI]
[arXiv]
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M. Quade, T. Isele, and M. Abel, Machine learning control — explainable and analyzable methods, Physica D, vol. 412, Nov. 2020.
[DOI]
[arXiv]
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M. Quade, J. Gout, and M. Abel, Glyph: Symbolic Regression Tools, Journal of Open Research Software, vol. 7, Jun. 2019.
[DOI]
[arXiv]
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M. Quade, M. Abel, J. Nathan Kutz, and S. L. Brunton, Sparse identification of nonlinear dynamics for rapid model recovery, Chaos, vol. 28, no. 28, Jun. 2018.
[DOI]
[arXiv]
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J. Gout, M. Quade, K. Shafi, R. K. Niven, and M. Abel, Synchronization control of oscillator networks using symbolic regression, Nonlinear Dyn, vol. 91, no. 2, Nov. 2017.
[DOI]
[arXiv]
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M. Quade, M. Abel, K. Shafi, R. K. Niven, and B. R. Noack, Prediction of dynamical systems by symbolic regression, Phys. Rev. E, vol. 94, no. 1, Jul. 2016.
[DOI]
[arXiv]
[File]
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H. Todt, A. Sander, R. Hainich, W.-R. Hamann, M. Quade, and T. Shenar, Potsdam Wolf-Rayet model atmosphere grids for WN stars, A&A, vol. 579, Jul. 2015.
[DOI]
[File]
Conference Articles
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R. K. Niven, A. Mohammad-Djafari, L. Cordier, M. Abel, and M. Quade, Dynamical System Identification by Bayesian Inference, in Proceedings of the 22nd Australasian Fluid Mechanics Conference AFMC2020, Dec. 2020.
[DOI]
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R. K. Niven, A. Mohammad-Djafari, L. Cordier, M. Abel, and M. Quade, Dynamical System Identification by Bayesian Inference, in Proceedings of the 22nd Australasian Fluid Mechanics Conference AFMC2020, Garching/Munich, Germany, Dec. 2020.
[DOI]
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Y. El Sayed M., P. Oswald, S. Sattler, P. Kumar, R. Radespiel, C. Behr, M. Sinapius, J. Petersen, P. Wierach, M. Quade, M. Abel, B. R. Noack, and R. Semaan, Open- and closed-loop control investigations of unsteady Coanda actuation on a high-lift configuration, in 2018 Flow Control Conference, Jun. 2018.
[DOI]
Theses
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M. Quade, Symbolic Regression for Identification, Prediction, and Control of Dynamical Systems, PhD thesis, Institute for Physics and Astronomy, University of Potsdam, Jun. 2018.
[URL] [File]
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M. Quade, Numerical studies on mean time to extinction (MTE) in coupled birth and death process systems, Master’s Thesis, Institute for Physics and Astronomy, University of Potsdam, Apr. 2014.
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M. Quade, Nichtlineare Moden im inhomogenen aktiven Medium, Bachelor’s Thesis, Institute for Physics and Astronomy, University of Potsdam, Oct. 2011.