| 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 | 250* | 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 | 185 | 2018 |
| Prediction of Dynamical Systems by Symbolic Regression M Quade, M Abel, K Shafi, RK Niven, BR Noack PHYSICAL REVIEW E 94 (1), 2016 | 146 | 2016 |
| 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 | 108 | 2015 |
| Bayesian identification of dynamical systems RK Niven, A Mohammad-Djafari, L Cordier, M Abel, M Quade Proceedings 33 (1), 33, 2020 | 29 | 2020 |
| Synchronization control of oscillator networks using symbolic regression J Gout, M Quade, K Shafi, RK Niven, M Abel Nonlinear Dynamics 91, 1001-1021, 2018 | 16 | 2018 |
| Machine learning control—Explainable and analyzable methods M Quade, T Isele, M Abel Physica D: Nonlinear Phenomena 412, 132582, 2020 | 14* | 2020 |
| Glyph: Symbolic Regression Tools M Quade, J Gout, M Abel Journal of Open Research Software 7 (1), 2019 | 12 | 2019 |
| 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 | 8 | 2018 |
| Dynamical system identification by Bayesian inference RK Niven, MD Ali, L Cordier, M Abel, M Quade 22nd Australasian Fluid Mechanics Conference AFMC2020, 2020 | 3 | 2020 |
| Symbolic regression for identification, prediction, and control of dynamical systems M Quade Universität Potsdam, 2018 | 3 | 2018 |
| 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 | 2 | 2024 |
| 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 | 2 | 2024 |
| 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 | 1 | 2021 |
| Foundations of Bayesian Inference and Application to Dynamical System Identification R Niven, L Cordier, A Mohammad-Djafari, M Abel, M Quade Bulletin of the American Physical Society, 2024 | | 2024 |
| 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 |
Robert K. NivenThe University of New South WalesVerified email at adfa.edu.au
