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Recommendations for the article Learning sparse nonlinear dynamics via mixed-integer optimization
| Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index |
|---|---|---|---|---|---|---|
| visibility_off | Automatically discovering ordinary differential equations from data with sparse regression | Kevin Egan, Weizhen Li, Rui Carvalho | 2024-01-09 | Communications Physics | 12 | 2 |
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| visibility_off | PySINDy: A comprehensive Python package for robust sparse system identification | A. Kaptanoglu, Brian M. de Silva, Urban Fasel, Kadierdan Kaheman, Jared L. Callaham, Charles B. Delahunt, Kathleen P. Champion, Jean-Christophe Loiseau, J. Kutz, S. Brunton | 2021-11-12 | J. Open Source Softw. | 126 | 68 |
| visibility_off | Sparse reconstruction of ordinary differential equations with inference | S. Venkatraman, Sumanta Basu, M. Wells | 2023-08-17 | ArXiv | 0 | 40 |
| visibility_off | Physics-informed learning of governing equations from scarce data | Zhao Chen, Yang Liu, Hao Sun | 2020-05-05 | Nature Communications | 309 | 13 |
| visibility_off | PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data. | Brian M. de Silva, Kathleen P. Champion, M. Quade, Jean-Christophe Loiseau, J. Kutz, S. Brunton | 2020-04-17 | arXiv: Dynamical Systems | 51 | 68 |
| visibility_off | SINDy with Control: A Tutorial | Urban Fasel, E. Kaiser, J. Kutz, Bingni W. Brunton, S. Brunton | 2021-08-30 | 2021 60th IEEE Conference on Decision and Control (CDC) | 58 | 68 |
| visibility_off | Sparse learning of stochastic dynamical equations. | L. Boninsegna, F. Nüske, C. Clementi | 2017-12-06 | The Journal of chemical physics | 203 | 46 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |