Symbolic regression

This page was last updated on 2025-01-13 06:06:09 UTC

Manually curated articles on Symbolic regression

Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations
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 of the United States of America, Proceedings of the National Academy of Sciences 3502 68 open_in_new
visibility_off Robust learning from noisy, incomplete, high-dimensional experimental data via physically constrained symbolic regression Patrick A. K. Reinbold, Logan Kageorge, M. Schatz, R. Grigoriev 2021-02-24 Nature Communications 93 24 open_in_new
visibility_off Data-driven discovery of coordinates and governing equations Kathleen P. Champion, Bethany Lusch, J. Kutz, S. Brunton 2019-03-29 Proceedings of the National Academy of Sciences of the United States of America 665 68 open_in_new
visibility_off Chaos as an intermittently forced linear system S. Brunton, Bingni W. Brunton, J. Proctor, E. Kaiser, J. Kutz 2016-08-18 Nature Communications 482 68 open_in_new
visibility_off Sparse identification of nonlinear dynamics for model predictive control in the low-data limit E. Kaiser, J. Kutz, S. Brunton 2017-11-15 Proceedings. Mathematical, Physical, and Engineering Sciences, Proceedings of the Royal Society A 475 68 open_in_new
visibility_off Inferring Biological Networks by Sparse Identification of Nonlinear Dynamics N. Mangan, S. Brunton, J. Proctor, J. Kutz 2016-05-26 IEEE Transactions on Molecular, Biological and Multi-Scale Communications, IEEE Transactions on Molecular Biological and Multi-Scale Communications 340 68 open_in_new
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, Proceedings of the Royal Society A 227 68 open_in_new
visibility_off Multidimensional Approximation of Nonlinear Dynamical Systems Patrick Gelß, Stefan Klus, J. Eisert, Christof Schutte 2018-09-07 Journal of Computational and Nonlinear Dynamics 65 80 open_in_new
visibility_off Learning Discrepancy Models From Experimental Data Kadierdan Kaheman, E. Kaiser, B. Strom, J. Kutz, S. Brunton 2019-09-18 ArXiv, arXiv.org 36 68 open_in_new
visibility_off Discovery of Physics From Data: Universal Laws and Discrepancies Brian M. de Silva, D. Higdon, S. Brunton, J. Kutz 2019-06-19 Frontiers in Artificial Intelligence 79 68 open_in_new
visibility_off Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control Urban Fasel, J. Kutz, Bingni W. Brunton, S. Brunton 2021-11-22 Proceedings. Mathematical, Physical, and Engineering Sciences, Proceedings of the Royal Society A 187 68 open_in_new
visibility_off Learning sparse nonlinear dynamics via mixed-integer optimization D. Bertsimas, Wes Gurnee 2022-06-01 Nonlinear Dynamics 32 93 open_in_new
visibility_off A Unified Framework for Sparse Relaxed Regularized Regression: SR3 P. Zheng, T. Askham, S. Brunton, J. Kutz, A. Aravkin 2018-07-14 IEEE Access 126 68 open_in_new
Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations

Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index
visibility_off Scalable Discovery of Fundamental Physical Laws: Learning Magnetohydrodynamics from 3D Turbulence Data Matthew Golden, K. Satapathy, Dimitrios Psaltis 2025-01-07 ArXiv 0 13
visibility_off A Bayesian Approach for Discovering Time- Delayed Differential Equation from Data Debangshu Chowdhury, Souvik Chakraborty 2025-01-06 ArXiv 0 0
visibility_off Learning Weather Models from Data with WSINDy Seth Minor, D. Messenger, Vanja Dukic, David M. Bortz 2025-01-01 ArXiv 0 8
visibility_off Compressive‐Sensing‐Assisted Mixed Integer Optimization for Dynamical System Discovery With Highly Noisy Data Tony Shi, Mason Ma, Hoang Tran, Guannan Zhang 2024-12-04 Numerical Methods for Partial Differential Equations 0 1
visibility_off Reconstruction of dynamic systems using genetic algorithms with dynamic search limits Omar Rodr'iguez-Abreo, Jos'e Luis Arag'on, M. A. Quiroz-Ju'arez 2024-12-03 ArXiv 0 2
visibility_off Evaluating the Fidelity of Data-Driven Predator-Prey Models: A Dynamical Systems Analysis Anna S. Frank, Jiawen Zhang, Sam Subbey 2024-11-15 bioRxiv 0 4
visibility_off On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Jake Buzhardt, Ricardo Constante-Amores, Michael D. Graham 2024-11-20 ArXiv 0 4
visibility_off Robust Model-Free Identification of the Causal Networks Underlying Complex Nonlinear Systems Guanxue Yang, Shimin Lei, Guanxiao Yang 2024-12-01 Entropy 0 3
visibility_off Non-intrusive reduced-order modeling for dynamical systems with spatially localized features L. Gkimisis, Nicole Aretz, Marco Tezzele, Thomas Richter, Peter Benner, Karen E. Willcox 2025-01-08 ArXiv 0 3
visibility_off Universal differential equations for systems biology: Current state and open problems Maren Philipps, Nina Schmid, Jan Hasenauer 2024-12-17 bioRxiv 0 0
visibility_off Modeling Latent Non-Linear Dynamical System over Time Series Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai 2024-12-11 ArXiv 0 13
visibility_off Data-driven model reconstruction for nonlinear wave dynamics E. Smolina, Lev A. Smirnov, Daniel Leykam, Franco Nori, Daria Smirnova 2024-11-18 ArXiv 0 3
visibility_off LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification Arunabh Singh, Joyjit Mukherjee 2024-12-16 ArXiv 0 0
visibility_off Sparse identification of evolution equations via Bayesian model selection Tim W. Kroll, Oliver Kamps 2025-01-01 ArXiv 0 0
visibility_off NN-ResDMD: Learning Koopman Representations for Complex Dynamics with Spectral Residuals Yuanchao Xu, Kaidi Shao, Nikos Logothetis, Zhongwei Shen 2025-01-01 ArXiv 0 0
visibility_off A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems Xiangnan Yu, Hao Xu, Zhiping Mao, Hongguang Sun, Yong Zhang, Dong-juan Zhang, Yuntian Chen 2024-12-05 ArXiv 0 11
visibility_off Data-driven optimal control of unknown nonlinear dynamical systems using the Koopman operator Zhexuan Zeng, Rui Zhou, Yiming Meng, Jun Liu 2024-12-02 ArXiv 0 9
visibility_off Model order reduction for the cross-diffusive Brusselator Equation Tugba Küçükseyhan 2024-11-30 GSC Advanced Research and Reviews 0 5
visibility_off Unsupervised data-driven response regime exploration and identification for dynamical systems. M. Farid 2024-12-01 Chaos 0 8
visibility_off Learning Koopman-based Stability Certificates for Unknown Nonlinear Systems Rui Zhou, Yiming Meng, Zhexuan Zeng, Jun Liu 2024-12-03 ArXiv 0 9
visibility_off Discovering PDEs Corrections from Data Within a Hybrid Modeling Framework C. Ghnatios, F. Chinesta 2024-12-24 Mathematics 0 14
visibility_off Data-Driven Koopman Based System Identification for Partially Observed Dynamical Systems with Input and Disturbance P. Ketthong, Jirayu Samkunta, N. T. Mai, M.A.S. Kamal, I. Murakami, Kou Yamada 2024-12-19 Sci 0 8
visibility_off Symplectic Neural Flows for Modeling and Discovery Priscilla Canizares, Davide Murari, C. Schonlieb, Ferdia Sherry, Zakhar Shumaylov 2024-12-21 ArXiv 0 17
visibility_off DR-PDEE for engineered high-dimensional nonlinear stochastic systems: a physically-driven equation providing theoretical basis for data-driven approaches Jian-Bing Chen, , Meng-Ze Lyu 2024-12-06 Nonlinear Dynamics 0 9
visibility_off Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Matteo Tomasetto, Francesco Braghin, Andrea Manzoni 2024-12-13 ArXiv 0 1
visibility_off Data-Driven Reduced-Order Models for Port-Hamiltonian Systems with Operator Inference Yuwei Geng, Lili Ju, Boris Kramer, Zhu Wang 2025-01-04 ArXiv 0 3
visibility_off Convex Data-Driven Contraction With Riemannian Metrics Andreas Oliveira, Jian Zheng, Mario Sznaier 2024-12-28 ArXiv 0 1
visibility_off Transformer-based Koopman Autoencoder for Linearizing Fisher's Equation Kanav Singh Rana, Nitu Kumari 2024-12-03 ArXiv 0 1
visibility_off Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks Cyrus Neary, Nathan Tsao, U. Topcu 2024-12-15 ArXiv 0 49
visibility_off Bifurcation analysis in dynamical systems through integration of machine learning and dynamical systems theory Nami Mogharabin, Amin Ghadami 2024-11-27 Journal of Computational and Nonlinear Dynamics 0 2
visibility_off Forecasting High-dimensional Spatio-Temporal Systems from Sparse Measurements Jialin Song, Zezheng Song, Pu Ren, N. Benjamin Erichson, Michael W. Mahoney, Xiaoye Li 2024-11-28 Machine Learning: Science and Technology 0 23
visibility_off Koopman Based Trajectory Optimization with Mixed Boundaries Mohamed Abou-Taleb, Maximilian Raff, Kathrin Flasskamp, C. D. Remy 2024-12-04 ArXiv 0 2
visibility_off Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots Feihan Li, Abulikemu Abuduweili, Yifan Sun, Rui Chen, Weiye Zhao, Changliu Liu 2024-11-21 ArXiv 1 12
visibility_off Machine learning prediction of tipping in complex dynamical systems Shirin Panahi, Ling-Wei Kong, Mohammadamin Moradi, Zheng-Meng Zhai, Bryan Glaz, Mulugeta Haile, Ying-Cheng Lai 2024-11-25 Physical Review Research 0 10
visibility_off A polynomial approximation scheme for nonlinear model reduction by moment matching Carlos Doebeli, Alessandro Astolfi, D. Kalise, Alessio Moreschini, G. Scarciotti, Joel D. Simard 2024-12-17 ArXiv 0 20
visibility_off Space-time model reduction in the frequency domain PeterT. Frame, Aaron Towne 2024-11-20 ArXiv 0 2
visibility_off Diffeomorphic Latent Neural Operators for Data-Efficient Learning of Solutions to Partial Differential Equations Zan Ahmad, Shiyi Chen, Minglang Yin, Avisha Kumar, Nicolas Charon, Natalia Trayanova, M. Maggioni 2024-11-27 ArXiv 0 5
visibility_off A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models arising from biology Shun Wang, Wenrui Hao 2025-01-02 ArXiv 0 0
visibility_off Picard Iteration for Parameter Estimation in Nonlinear Ordinary Differential Equations Aleksandr Talitckii, Matthew M. Peet 2024-12-28 ArXiv 0 4
visibility_off Learning Epidemiological Dynamics via the Finite Expression Method Jianda Du, Senwei Liang, Chunmei Wang 2024-12-30 ArXiv 0 0
visibility_off Model Predictive Control of Nonlinear Dynamics Using Online Adaptive Koopman Operators Daisuke Uchida, Karthik Duraisamy 2024-12-04 ArXiv 0 3
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index