Symbolic Regression

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19 papers in the last four weeks, up 58% on the four weeks before. 0.1% of all new papers.

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  1. Diversified Residual Symbolic Regression

    May 15, 2026Koki Ikeda, Masahiro Nomura, Ryoki HamanoSymbolic Regression

    CyberAgent Shibuya, Tokyo, Japan · Institute of Science Tokyo Meguro, Tokyo, Japan

  2. FePySR: A Neural Feature Extraction Framework for Efficient and Scalable Symbolic Regression

    May 12, 2026Zhiming Yu, Wangtao Lu, Xin LaiNonlinear System IdentificationAutomated Feature Engineering

    School of Mathematical Sciences, Zhejiang University, Hangzhou, Zhejiang, China · Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland

  3. A Comparative Study of Model Selection Criteria for Symbolic Regression

    May 11, 2026Ali Soltani, Gabriel Kronberger, Fabricio Olivetti de Franca +2Model SelectionSymbolic Regression

    Aarhus University Department of Mechanical Engineering Aarhus, Denmark · Heuristic and Evolutionary Algorithms Laboratory (HEAL) University of Applied Sciences Upper Austria Hagenberg, Austria · Federal University of ABC Center for Mathematics, Computing, and Cognition Brazil +1

  4. The finite expression method for turbulent dynamics with high-order moment recovery

    May 11, 2026Xingjian Xu, Di Qi, Chunmei WangNonlinear System IdentificationComputational Fluid Dynamics

    Department of Mathematics, University of Florida, Gainesvile, FL 32611 · Department of Mathematics, Purdue University, West Lafayette, IN 47907

  5. GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing

    May 11, 2026Yanjie Li, Liping Zhang, Min Wu +6Evolutionary OptimizationGenetic Programming

    AnnLab, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China. · School of Electronic, Electrical and Communication Engineering,2026 University of Chinese Academy of Sciences, Beijing, China.

  6. Discovery of Nonlinear Dynamics with Automated Basis Function Generation

    May 10, 2026Mohammad Amin Basiri, Charles NicholsonSparse Identification of Nonlinear DynamicsNonlinear System Identification

    Data Science and Analytics Institute, University of Oklahoma, Norman, OK, USA · School of Industrial and Systems Engineering, University of Oklahoma, Norman, OK, USA

  7. Discovering Ordinary Differential Equations with LLM-Based Qualitative and Quantitative Evaluation

    May 8, 2026Sum Kyun Song, Bong Gyun Shin, Jae Yong LeeAI Agents for Scientific DiscoveryAutonomous Scientific Discovery

    Department of Artificial Intelligence, Chung-Ang University, Seoul, Republic of Korea · Department of AI Big Data, Daejin University, Pocheon-si, Republic of Korea.

  8. Complex Equation Learner: Rational Symbolic Regression with Gradient Descent in Complex Domain

    May 5, 2026Sergei Garmaev, Maurice Gauché, Olga FinkComplex-Valued Neural NetworksSymbolic Regression

    Intelligent Maintenance and Operations Systems Laboratory, EPFL, Lausanne, Switzerland · Mathematics Section, EPFL, Lausanne, Switzerland

  9. Programmatic Context Augmentation for LLM-based Symbolic Regression

    May 4, 2026Hao Liu, Xiao-Wen Yang, Atharva Sehgal +4Large Language Model-Guided OptimizationLarge Language Model-Guided Scientific Discovery

    Caltech · Nanjing University · University of Texas at Austin +1

  10. Deep Variational Inference Symbolic Regression

    May 1, 2026James Butterworth, Gevik Grigorian, Alejandro DiazDelaOUncertainty QuantificationVariational Inference

    Clinical Operational Research Unit University College London London, United Kingdom · Department of Computer Science University College London London, United Kingdom

  11. Additive Atomic Forests for Symbolic Function and Antiderivative Discovery

    May 1, 2026Reda BelaicheSymbolic Regression

    Université Paris-Est Créteil, Vitry-sur-Seine, France

  12. Machine Collective Intelligence for Explainable Scientific Discovery

    Apr 30, 2026Gyoung S. Na, Chanyoung ParkExplainable Artificial IntelligenceAutonomous Scientific Discovery

    Korea Research Institute of Chemical Technology (KRICT) · Korea Advanced Institute of Science and Technology (KAIST)

  13. Architecture-Induced Recoverability Bias in Differentiable Symbolic Regression

    Apr 25, 2026Chakshu Gupta, Theodore J. LaGrowAlgorithm SelectionSymbolic Regression

    ⋆College of Computing, Georgia Institute of Technology, Atlanta, GA, USA · † College of Lifetime Learning, Georgia Institute of Technology, Atlanta, GA, USA

  14. AC-SINDy: Compositional Sparse Identification of Nonlinear Dynamics

    Apr 20, 2026Peter RacioppoLatent Dynamics ModelingSparse Identification of Nonlinear Dynamics

    Independent Researcher Los Angeles, CA 90731

  15. On the Generalization Bounds of Symbolic Regression with Genetic Programming

    Apr 19, 2026Masahiro Nomura, Ryoki Hamano, Isao OnoGenetic ProgrammingStatistical Learning Theory

    Institute of Science Tokyo, Yokohama, Japan · CyberAgent, Shibuya, Japan

  16. Neuro-Symbolic ODE Discovery with Latent Grammar Flow

    Apr 17, 2026Karin Yu, Eleni Chatzi, Georgios KissasAutonomous Scientific DiscoveryNeurosymbolic Learning

    Institute of Structural Engineering, ETH Zurich, Zurich, Switzerland · ETH AI Center, ETH Zurich, Zurich, Switzerland · Swiss Data Science Center, Zurich, Switzerland

  17. Interpretable Relational Inference with LLM-Guided Symbolic Dynamics Modeling

    Apr 14, 2026Xiaoxiao Liang, Juyuan Zhang, Liming Pan +1Latent Dynamics ModelingSymbolic Regression

    School of Cyber Science and Technology, University of Science and Technology of China, Hefei, Anhui, China.

  18. Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization

    Apr 9, 2026Benjamin Léger, Kazem Meidani, Christian GagnéLatent Space OptimizationSymbolic Regression

    IID / Mila, Université Laval, Québec, Canada · Department of Mechanical Engineering, Carnegie Mellon University Canada-CIFAR AI Chair

  19. A machine learning framework for uncovering stochastic nonlinear dynamics from noisy data

    Apr 7, 2026Matteo Bosso, Giovanni Franzese, Kushal Swamy +3Nonlinear System IdentificationSymbolic Regression

  20. Bias Inheritance in Neural-Symbolic Discovery of Constitutive Closures Under Function-Class Mismatch

    Apr 1, 2026Hanbing Liang, Ze Tao, Fujun LiuPDE DiscoveryNeurosymbolic Learning

    Nanophotonics and Biophotonics Key Laboratory of Jilin Province, School of Physics, Changchun University of Science and Technology, Changchun 130022, P.R. China

  21. PASM: Population Adaptive Symbolic Mixture-of-Experts Model for Cross-location Hurricane Evacuation Decision Prediction

    Mar 31, 2026Xiao Qian, Shangjia DongDomain GeneralizationMixture-of-Experts Models

    Dept. of Civil, Environmental, and Construction Engineering, University of Delaware, Newark, DE, USA

  22. Symbolic--KAN: Kolmogorov-Arnold Networks with Discrete Symbolic Structure for Interpretable Learning

    Mar 25, 2026Salah A Faroughi, Farinaz Mostajeran, Amirhossein Arzani +1Interpretable MLScientific ML

    Energy & Intelligence Lab, Department of Chemical Engineering, University of Utah, Salt Lake City, Utah, 84112, USA · Department of Mechanical Engineering, University of Utah, Salt Lake City, Utah, 84112, USA · Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, 84112, USA +2

  23. Weak-PDE-Net: Discovering Open-Form PDEs via Differentiable Symbolic Networks and Weak Formulation

    Mar 24, 2026Xinxin Li, Xingyu Cui, Jin Qi +3PDE DiscoverySymbolic Regression

    School of Mathematical Sciences, East China Normal University, Shang Hai, 200241, China · Institute of Applied Physics and Computational Mathematics, 100094, Beijing, China · Shanghai Zhangjiang Institute of Mathematics, 201203, Shanghai, China +2

  24. Neural Structure Embedding for Symbolic Regression via Continuous Structure Search and Coefficient Optimization

    Mar 23, 2026Fateme Memar, Tao Zhe, Dongjie WangSymbolic Regression

    Department of Electrical Engineering and Computer Science, University of Kansas USA

  25. Instruction Set and Language for Symbolic Regression

    Mar 23, 2026Ezequiel Lopez-Rubio, Mario Pascual-GonzalezSymbolic Regression

    Department of Computer Languages and Computer Science University of Málaga Bulevar Louis Pasteur, 35 29071 Málaga, Spain · ITIS Software. Universidad de Málaga. C/ Arquitecto Francisco Peñalosa 18, 29010, Málaga, Spain

  26. LLM-ODE: Data-driven Discovery of Dynamical Systems with Large Language Models

    Mar 21, 2026Amirmohammad Ziaei Bideh, Jonathan GryakODE DiscoveryDynamical Systems

    The Graduate Center, CUNY New York, New York, USA · Queens College and The Graduate Center, CUNY New York, New York, USA

  27. Graph-based data-driven discovery of interpretable laws governing corona-induced noise and radio interference for high-voltage transmission lines

    Mar 21, 2026Hao Xu, Yuntian Chen, Chongqing Kang +1Power SystemsSymbolic Regression

    Zhejiang Key Laboratory of Industrial Intelligence and Digital Twin, Eastern Institute of Technology, Ningbo, Zhejiang 315200, China · Department of Electrical Engineering, Tsinghua University, Beijing 100084, P. R. China · Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, Zhejiang 315200, P. R. China +1

  28. SINDy-KANs: Sparse identification of non-linear dynamics through Kolmogorov-Arnold networks

    Mar 19, 2026Amanda A. Howard, Nicholas Zolman, Bruno Jacob +2Nonlinear System IdentificationSparse Identification of Nonlinear Dynamics

    Pacific Northwest National Laboratory, Richland, WA 99354 · University of Washington, Seattle, WA 98195

  29. Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identification from Noisy Data

    Mar 16, 2026Martin G. FraschScientific DiscoveryModel Selection

    Institute on Human Development and Disability, University of Washington, Seattle, WA 98195, USA · Health Stream Analytics, LLC, Seattle, WA, USA

  30. EvoIQA - Explaining Image Distortions with Evolved White-Box Logic

    Mar 16, 2026Ruchika Gupta, Illya Bakurov, Nathan Haut +1Image Quality AssessmentSymbolic Regression

    Michigan State University