This page was last updated on 2026-10-05 06:45:22 UTC
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, Wei-Zhen Li, Rui Carvalho | 2024-01-09 | Communications Physics | 45 | 8 |
| visibility_off | SODAs: Sparse Optimization for the Discovery of Differential and Algebraic Equations | Manu Jayadharan, Christina Catlett, A. Montanari, Niall M. Mangan | 2025-03-08 | ArXiv | 1 | 10 |
| visibility_off | Discovering governing equations from data by sparse identification of nonlinear dynamical systems | S. Brunton, J. L. Proctor, J. Kutz | 2015-09-11 | Proceedings of the National Academy of Sciences | 5548 | 81 |
| visibility_off | Sparse Identification of Nonlinear Dynamics with Side Information (SINDy-SI) | G. F. Machado, Morgan Jones | 2023-10-06 | 2024 American Control Conference (ACC) | 9 | 2 |
| visibility_off | PySINDy: A comprehensive Python package for robust sparse system identification | A. Kaptanoglu, Brian de Silva, Urban Fasel, Kadierdan Kaheman, Andy J. Goldschmidt, Jared L. Callaham, Charles B. Delahunt, Zachary Nicolaou, Kathleen P. Champion, Jean-Christophe Loiseau, J. Kutz, S. Brunton | 2021-11-12 | J. Open Source Softw. | 255 | 81 |
| visibility_off | Sparse reconstruction of ordinary differential equations with inference | S. Venkatraman, Sumanta Basu, M. Wells | 2023-08-17 | ArXiv | 0 | 39 |
| visibility_off | Discovery of Nonlinear Dynamics with Automated Basis Function Generation | Mohammad Amin Basiri, Charles D. Nicholson | 2026-05-10 | ArXiv | 2 | 4 |
| visibility_off | Physics-informed learning of governing equations from scarce data | Zhao Chen, Yang Liu, Hao Sun | 2020-05-05 | Nature Communications | 717 | 16 |
| visibility_off | Physics-based discovery of governing equations from scarce and noisy data. | Liang Wang, Ting-Wei Ji, Yunzhe Huang, Hong-Jie Zhou, Fang-Fang Xie | 2025-05-27 | Physical review. E | 3 | 17 |
| 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 | 87 | 81 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |