Symbolic regression

This page was last updated on 2025-07-28 06:13:41 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 3916 72 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 111 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 753 72 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 530 72 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 533 72 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 361 72 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 276 72 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 71 21 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 46 72 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 84 72 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 233 72 open_in_new
visibility_off Learning sparse nonlinear dynamics via mixed-integer optimization D. Bertsimas, Wes Gurnee 2022-06-01 Nonlinear Dynamics 46 96 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 141 72 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 Robust Moment Identification for Nonlinear PDEs via a Neural ODE Approach Shaoxuan Chen, Su Yang, Panayotis Kevrekidis, Wei Zhu 2025-06-05 ArXiv 0 1
visibility_off Sparse identification of nonlinear dynamics with library optimization mechanism: Recursive long-term prediction perspective Ansei Yonezawa, Heisei Yonezawa, S. Yahagi, Itsuro Kajiwara, Shinya Kijimoto, Hikaru Taniuchi, Kentaro Murakami 2025-07-24 ArXiv 0 10
visibility_off IDENT Review: Recent Advances in Identification of Differential Equations from Noisy Data Roy Y. He, Hao Liu, Wenjing Liao, Sung Ha Kang 2025-06-09 ArXiv 0 2
visibility_off Data-driven identification of biomedical systems using multi-scale analysis Ismaila Muhammed, Dimitris M. Manias, D. Goussis, Haralampos Hatzikirou 2025-06-08 bioRxiv 0 36
visibility_off Time-series modeling with neural flow maps Bingxian Xu, Zoey E. Ho, Yitong Huang 2025-06-24 bioRxiv 0 1
visibility_off Neuro-Symbolic Operator for Interpretable and Generalizable Characterization of Complex Piezoelectric Systems Abhishek Chandra, Taniya Kapoor, M. Curti, K. Tiels, E. Lomonova 2025-05-30 ArXiv 0 25
visibility_off Identifiability Challenges in Sparse Linear Ordinary Differential Equations Cecilia Casolo, Soren Becker, Niki Kilbertus 2025-06-11 ArXiv 0 15
visibility_off Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning (ME-EQL) M. Ciocanel, John T. Nardini, Kevin B. Flores, Erica M. Rutter, Suzanne S. Sindi, A. Volkening 2025-06-10 ArXiv 0 10
visibility_off Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting Jiahui Cheng, Sung Ha Kang, Haomin Zhou, Wenjing Liao 2025-06-04 ArXiv 0 2
visibility_off mLaSDI: Multi-stage latent space dynamics identification William Anderson, Seung Whan Chung, Youngsoo Choi 2025-06-10 ArXiv 0 4
visibility_off SINDybrid: automatic generation of hybrid models for dynamic systems Ulderico Di Caprio, M. Leblebici 2025-06-14 ArXiv 0 14
visibility_off Data-driven discovery of nonlinear dynamics in complex systems through phase-space informed neural ordinary differential equations David Garrido González, N. Saura, S. Benkadda, P. Beyer 2025-06-01 Physics of Plasmas 0 29
visibility_off Data-assimilated model-informed reinforcement learning D. E. Ozan, Andrea N'ovoa, Georgios Rigas, Luca Magri 2025-06-02 ArXiv 0 2
visibility_off Physics-Informed Neural Networks for the Korteweg-de Vries Equation for Internal Solitary Wave Problem: Forward Simulation and Inverse Parameter Estimation Ming Kang, Hang Li, Qiwen Tan, Zhan Wang, Ruipeng Li, Junfang Zhao, Hui Xiang, Dixia Fan 2025-06-17 ArXiv 0 3
visibility_off Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir Computing Declan A. Norton, Yuanzhao Zhang, M. Girvan 2025-06-05 ArXiv 0 20
visibility_off Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison Jan C. Schulze, Alexander Mitsos 2025-06-15 ArXiv 0 4
visibility_off System Identification Using Kolmogorov-Arnold Networks: A Case Study on Buck Converters Nart Gashi, Panagiotis Kakosimos, G. Papafotiou 2025-06-09 2025 IEEE International Conference on Prognostics and Health Management (ICPHM) 0 1
visibility_off Reconstruction and Prediction of Volterra Integral Equations Driven by Gaussian Noise Zhihao Xu, Saisai Ding, Zhikun Zhang, Xiangjun Wang 2025-06-01 ArXiv 0 2
visibility_off Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Xiaolong He, Yeonjong Shin, Anthony Gruber, Sohyeon Jung, Kookjin Lee, Youngsoo Choi 2025-06-10 ArXiv 0 4
visibility_off Interpretability and Generalization Bounds for Learning Spatial Physics A. Queiruga, Theo Gutman-Solo, Shuai Jiang 2025-06-18 ArXiv 0 13
visibility_off State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification Gonçalo G. Cruz, B. Renczes, M. Runacres, J. Decuyper 2025-06-19 IEEE Control Systems Letters 0 19
visibility_off ASP-Assisted Symbolic Regression: Uncovering Hidden Physics in Fluid Mechanics T. Aravanis, Grigorios Chrimatopoulos, Mohammad Ferdows, M. Xenos, E. Tzirtzilakis 2025-07-22 ArXiv 0 35
visibility_off A Hybrid Neural Network - Polynomial Series Scheme for Learning Invariant Manifolds of Discrete Dynamical Systems Dimitrios G. Patsatzis, Nikolaos K. Kazantzis, Ioannis G. Kevrekidis, Constantinos I. Siettos 2025-06-16 ArXiv 0 3
visibility_off Machine learning for detection of equivariant finite symmetry groups in dynamical systems Pablo Calvo-Barlés, Sergio G. Rodrigo, Luis Martin-Moreno 2025-06-03 Machine Learning: Science and Technology 0 6
visibility_off Bi-Level optimization for parameter estimation of differential equations using interpolation Siddharth Prabhu, Srinivas Rangarajan, M. Kothare 2025-05-31 ArXiv 0 31
visibility_off MoPINNEnKF: Iterative Model Inference using generic-PINN-based ensemble Kalman filter B.-L. Lu, Changhong Mou, Guang Lin 2025-05-31 ArXiv 0 2
visibility_off PMNO: A novel physics guided multi-step neural operator predictor for partial differential equations Jin Song, Kenji Kawaguchi, Zhenya Yan 2025-06-02 ArXiv 0 3
visibility_off Influence Functions for Data Attribution in Linear System Identification and LQR Control Jiachen Li, Shihao Li, Jiamin Xu, S. Bakshi, Dongmei Chen 2025-06-12 ArXiv 0 6
visibility_off Hierarchical Dimensionless Learning (Hi-{\pi}): A physics-data hybrid-driven approach for discovering dimensionless parameter combinations Mingkun Xia, Haitao Lin, Weiwei Zhang 2025-07-24 ArXiv 0 0
visibility_off An adaptive data sampling strategy for stabilizing dynamical systems via controller inference Steffen W. R. Werner, B. Peherstorfer 2025-06-02 ArXiv 0 29
visibility_off From Local Interactions to Global Operators: Scalable Gaussian Process Operator for Physical Systems Sawan Kumar, Tapas Tripura, R. Nayek, Souvik Chakraborty 2025-06-19 ArXiv 0 14
visibility_off Identification of dynamic models of microbial communities Ana Paredes-Vázquez, Eva Balsa-Canto, J. Banga 2025-06-12 bioRxiv 0 55
visibility_off A Data-Integrated Framework for Learning Fractional-Order Nonlinear Dynamical Systems B. Yaghooti, Chengyu Li, Bruno Sinopoli 2025-06-18 ArXiv 0 4
visibility_off Machine Learning-based quadratic closures for non-intrusive Reduced Order Models Gabriele Codega, A. Ivagnes, N. Demo, G. Rozza 2025-06-11 ArXiv 0 53
visibility_off Uncertainty quantification and stability of neural operators for prediction of three-dimensional turbulence Xintong Zou, Zhijie Li, Yunpeng Wang, Huiyu Yang, Jianchun Wang 2025-06-05 ArXiv 1 9
visibility_off Leveraging Continuous-Time Echo State Networks to Accelerate Computing Nonlinear Stiff Dynamics through Parareal in Time Simulation Juman Hamdan, M. K. Riahi 2025-06-01 Journal of Physics: Conference Series 0 0
visibility_off PINNs Algorithmic Framework for Simulation of Nonlinear Burgers' Type Models Ajeet Singh, Ram Jiwari, Vikram, Ujjwal Saini 2025-06-15 ArXiv 0 3
visibility_off Data-Driven Model Order Reduction for Continuous- and Discrete-Time Nonlinear Systems Behrad Samari, Henrik Sandberg, K. H. Johansson, Abolfazl Lavaei 2025-07-24 ArXiv 0 19
visibility_off Hamiltonian Learning via Inverse Physics-Informed Neural Networks Jie Liu, Xin Wang 2025-06-12 ArXiv 0 1
visibility_off Hierarchical Implicit Neural Emulators Ruoxi Jiang, Xiao Zhang, Karan Jakhar, Peter Y. Lu, P. Hassanzadeh, Michael Maire, Rebecca Willett 2025-06-05 ArXiv 0 26
visibility_off Petrov-Galerkin model reduction for collisional-radiative argon plasma Ivan Zanardi, Alessandro Meini, Alberto Padovan, Daniel J. Bodony, Marco Panesi 2025-06-05 ArXiv 0 4
visibility_off Autoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction Wilfried Genuist, Éric Savin, F. Gatti, Didier Clouteau 2025-05-30 ArXiv 0 11
visibility_off An Introduction to Solving the Least-Squares Problem in Variational Data Assimilation Ieva Daužickaitė, M. A. Freitag, S. Gürol, A. Lawless, A. Ramage, Jennifer A. Scott, Jemima M. Tabeart 2025-06-10 ArXiv 0 23
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index