Symbolic regression

This page was last updated on 2026-04-27 07:06:32 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, Proceedings of the National Academy of Sciences of the United States of America 4850 80 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 137 25 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 960 80 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 619 80 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 649 80 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 415 80 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 341 80 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 81 27 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.org, ArXiv 55 80 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 102 80 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 341 80 open_in_new
visibility_off Learning sparse nonlinear dynamics via mixed-integer optimization D. Bertsimas, Wes Gurnee 2022-06-01 Nonlinear Dynamics 64 98 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 172 80 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 Balance-Guided Sparse Identification of Multiscale Nonlinear PDEs with Small-coefficient Terms Zhenhua Dang, Lei Zhang, Long Wang, G. He 2026-04-20 ArXiv 0 6
visibility_off Towards a data-scale independent regulariser for robust sparse identification of non-linear dynamics Jayant Raut, Daniel N. Wilke, Stephan Schmidt 2026-03-05 ArXiv 0 3
visibility_off A Robust SINDy Autoencoder for Noisy Dynamical System Identification Kai Ding 2026-04-06 ArXiv 0 0
visibility_off SINDy-KANs: Sparse identification of non-linear dynamics through Kolmogorov-Arnold networks Amanda A. Howard, Nicholas Zolman, Bruno Jacob, S. Brunton, P. Stinis 2026-03-19 ArXiv 1 80
visibility_off Ill-Conditioning in Dictionary-Based Dynamic-Equation Learning: A Systems Biology Case Study Yu Feng, Niall M. Mangan, Manu Jayadharan 2026-03-11 ArXiv 0 7
visibility_off Efficacy of the Weak Formulation of Sparse Nonlinear Identification in Predicting Vortex-Induced Vibrations Haimi Jha, H. Saddal, Chandan Bose 2026-03-29 ArXiv 0 3
visibility_off Fourier Weak SINDy: Spectral Test Function Selection for Robust Model Identification Zhiheng Chen, Urban Fasel, A. Bizyaeva 2026-04-22 ArXiv 0 2
visibility_off PriorIDENT: Prior-Informed PDE Identification from Noisy Data Chengwei Tang, Hao Liu, Dong Wang 2026-03-06 ArXiv 0 5
visibility_off One-shot learning for the complex dynamical behaviors of weakly nonlinear forced oscillators Teng-Yang Ma, Luca Rosafalco, Wei Cui, Lin Zhao, A. Frangi 2026-04-16 ArXiv 0 13
visibility_off From Data to Laws: Neural Discovery of Conservation Laws Without False Positives Rahul Ray 2026-03-20 ArXiv 0 2
visibility_off AC-SINDy: Compositional Sparse Identification of Nonlinear Dynamics Peter Racioppo 2026-04-20 ArXiv 0 1
visibility_off Differentiable Sparse Identification of Lagrangian Dynamics Zitong Zhang, Hao Sun 2026-03-14 DBLP 0 9
visibility_off A machine learning framework for uncovering stochastic nonlinear dynamics from noisy data Matteo Bosso, Giovanni Franzese, K. Swamy, M. Theulings, Alejandro M. Arag'on, F. Alijani 2026-04-07 ArXiv 0 30
visibility_off Symbolic Discovery of Stochastic Differential Equations with Genetic Programming Sigur de Vries, Sander W. Keemink, M. Gerven 2026-03-10 ArXiv 0 39
visibility_off LaSIPDE: Latent-Space Identification of Partial Differential Equations from indirect, high-dimensional measurements I. Koulali, Erhan Turan, M. T. Eskil 2026-04-14 Frontiers in Applied Mathematics and Statistics 0 6
visibility_off Sparse Weak-Form Discovery of Stochastic Generators A. EshwarR, G. Honnavar 2026-03-21 ArXiv 0 7
visibility_off Symbolic--KAN: Kolmogorov-Arnold Networks with Discrete Symbolic Structure for Interpretable Learning Salah A. Faroughi, Farinaz Mostajeran, Amirhossein Arzani, S. Faroughi 2026-03-25 ArXiv 1 26
visibility_off A neural operator framework for data-driven discovery of stability and receptivity in physical systems Chengyun Wang, Liwei Chen, Nils Thuerey 2026-04-21 ArXiv 0 3
visibility_off Predicting Dynamics of Ultra-Large Complex Systems by Inferring Governing Equations Qi Shao, Duxin Chen, Jiawen Chen, Yujie Zeng, Athen Ma, Wenwu Yu, V. Latora, Wei Lin 2026-04-01 ArXiv 0 18
visibility_off Differential Equation Ensemble Discovery for Modeling Active Matter Based on Robotic Swarm Data X. Bashkova, A. Molodtsova, N. Olekhno, A. Hvatov 2026-03-13 Machine Learning and Knowledge Extraction 0 2
visibility_off Data-driven discovery and control of multistable nonlinear systems and hysteresis via structured Neural ODEs I. G. Salas, Ethan King 2026-03-27 ArXiv 0 1
visibility_off Uncertainty-Aware Sparse Identification of Dynamical Systems via Bayesian Model Averaging Shuhei Kashiwamura, Yusuke Kato, Hiroshi Kori, Masato Okada 2026-04-12 ArXiv 0 2
visibility_off SOLIS: Physics-Informed Learning of Interpretable Neural Surrogates for Nonlinear Systems Murat Furkan Mansur, T. Kumbasar 2026-04-16 ArXiv 0 23
visibility_off Machine Learning Hamiltonian Dynamical Systems with Sparse and Noisy Data Vedanta Thapar, Abhinav Gupta 2026-04-19 ArXiv 0 2
visibility_off Data-Driven Tensor Decomposition Identification of Homogeneous Polynomial Dynamical Systems Xin Mao, Joshua Pickard, Can Chen 2026-04-03 ArXiv 0 4
visibility_off Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identification from Noisy Data M. Frasch 2026-03-16 ArXiv 0 12
visibility_off Dicovering the emergent nonlinear dynamics of acoustically levitated cube clusters Annie Z. Xia, M. Lim, Jason Z. Kim, Bryan VanSaders, Heinrich M. Jaeger 2026-03-16 ArXiv 0 13
visibility_off Parametric Interpolation of Dynamic Mode Decomposition for Predicting Nonlinear Systems Ananda Chakrabarti, Haitham H. Saleh, Indranil Nayak, B. Shanker, Fernando L. Teixeira, Debdipta Goswami 2026-04-13 ArXiv 0 11
visibility_off Bias Inheritance in Neural-Symbolic Discovery of Constitutive Closures Under Function-Class Mismatch Han-Yu Liang, Ze Tao, Fujun Liu 2026-04-01 ArXiv 0 4
visibility_off Factorized Neural Implicit DMD for Parametric Dynamics Si-Run Chen, Zhecheng Wang, Yixin Chen, Yue Chang, Peter Yichen Chen, E. Grinspun, Jonathan Panuelos 2026-03-11 ArXiv 0 54
visibility_off Trustworthy Koopman Operator Learning: Invariance Diagnostics and Error Bounds Gustav Conradie, Nicolas Boull'e, Jean-Christophe Loiseau, S. Brunton, Matthew J. Colbrook 2026-03-16 ArXiv 0 80
visibility_off Fast and principled equation discovery from chaos to climate Yuzhen Zhang, Weizhen Li, R. Carvalho 2026-04-13 ArXiv 0 5
visibility_off Discovery of Symbolic Hamiltonian Expressions with Buckingham-Symplectic Networks Joe Germany, Joseph Bakarji, Sara Najem 2026-04-01 ArXiv 0 9
visibility_off WGFINNs: Weak formulation-based GENERIC formalism informed neural networks Jun Sur Richard Park, A. Hashim, S. W. Cheung, Youngsoo Choi, Yeonjong Shin 2026-04-03 ArXiv 0 3
visibility_off HYCO: A Formalism for Hybrid-Cooperative PDE Modelling Lorenzo Liverani, E. Zuazua 2026-02-27 ArXiv 0 4
visibility_off Tensor-based computation of the Koopman generator via operator logarithm Tatsuya Kishimoto, Jun Ohkubo 2026-04-09 ArXiv 0 1
visibility_off Interpretable Physics Extraction from Data for Linear Dynamical Systems using Lie Generator Networks Shafayeth Jamil, R. Kapadia 2026-03-28 ArXiv 1 31
visibility_off Multivariate Identification via Linear Projection of Eigenvectors Dong-Hwan Kim 2026-03-06 Mathematics 0 2
visibility_off Towards Rapid Constitutive Model Discovery from Multi-Modal Data: Physics Augmented Finite Element Model Updating (paFEMU) Jing-Yang Tan, G. Padmanabha, Steven J. Yang, N. Bouklas 2026-04-09 ArXiv 0 17
visibility_off Robust Parameter and State Estimation in Multiscale Neuronal Systems Using Physics-Informed Neural Networks Chang Wei, Yangyang Wang, Xueyu Zhu 2026-02-27 ArXiv 0 4
visibility_off Data-driven identification of chaotic nonlinear systems using local maximum entropy surrogates N. Raza, Faegheh Moazeni 2026-03-31 Nonlinear Dynamics 0 12
visibility_off LawMind: A Law-Driven Paradigm for Discovering Analytical Solutions to Partial Differential Equations Min-Yi Zheng, Shengqi Zhang, Liancheng Wu, Jinghui Zhong, Shiyi Chen, Y. Ong 2026-03-15 ArXiv 0 10
visibility_off GasNiTROM: Model Reduction via Non-Intrusive Optimization of Oblique Projection Operators and Guaranteed-Stable Latent-Space Dynamics Cole J. Errico, Alberto Padovan, Daniel J. Bodony 2026-03-22 ArXiv 0 4
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index