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Recommendations for the article Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control
| Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index |
|---|---|---|---|---|---|---|
| visibility_off | Sparsifying priors for Bayesian uncertainty quantification in model discovery | Seth M. Hirsh, D. Barajas-Solano, J. Kutz | 2021-07-05 | Royal Society Open Science | 85 | 33 |
| visibility_off | Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery | Liyao (Mars) Gao, Urban Fasel, S. Brunton, J. Kutz | 2023-01-30 | ArXiv | 17 | 72 |
| visibility_off | Enhancing sparse identification of nonlinear dynamics with Earth-Mover distance and group similarity. | Donglin Liu, A. Sopasakis | 2025-03-01 | Chaos | 0 | 1 |
| visibility_off | Automatically discovering ordinary differential equations from data with sparse regression | Kevin Egan, Weizhen Li, Rui Carvalho | 2024-01-09 | Communications Physics | 21 | 2 |
| visibility_off | Sparse Identification of Nonlinear Dynamics with Conformal Prediction | Urban Fasel | 2025-07-15 | ArXiv | 0 | 12 |
| visibility_off | Data-Driven Discovery of Nonlinear Dynamical Systems from Noisy and Sparse Observations | Wei Zhu, Chao Pei, Yulan Liang, Zhang Chen, Jingsui Li | 2024-10-18 | 2024 International Conference on New Trends in Computational Intelligence (NTCI) | 0 | 2 |
| visibility_off | SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics | Kadierdan Kaheman, J. Kutz, S. Brunton | 2020-04-05 | Proceedings. Mathematical, Physical, and Engineering Sciences | 286 | 72 |
| visibility_off | Discovering governing equations from data by sparse identification of nonlinear dynamical systems | S. Brunton, J. Proctor, J. Kutz | 2015-09-11 | Proceedings of the National Academy of Sciences | 4023 | 72 |
| visibility_off | Sparse identification of nonlinear dynamics in the presence of library and system uncertainty | Andrew O'Brien | 2024-01-23 | ArXiv | 0 | 0 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |