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. In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks

    Mar 16, 2026Francesco Sovrano, Lidia Losavio, Giulia Vilone +1Symbolic RegressionKolmogorov-Arnold Networks

    University of Italian-Speaking Switzerland (USI) · Analog Devices International

  2. Bayesian Symbolic Regression for Missing Physics

    Mar 16, 2026Arno StrouwenSymbolic RegressionUncertainty Quantification

    Strouwen Statistics · Biosystems Department, KULeuven, Leuven, Belgium

  3. Data-driven Progressive Discovery of Physical Laws

    Mar 14, 2026Mingkun Xia, Weiwei ZhangScientific DiscoverySymbolic Regression

    School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, China · International Joint Institute of Intelligent Fluid Mechanics, Northwestern Polytechnical University, Xi’an 710072, China · National Key Laboratory of Aircraft Configuration Design, Xi’an 710072, China

  4. GPU-Accelerated Genetic Programming for Symbolic Regression with Beagle Framework

    Mar 10, 2026Nathan Haut, Ilya Basin, Marzieh Kianinejad +4Genetic ProgrammingSymbolic Regression

    Michigan State University East Lansing, Michigan, USA · Noblis, Inc. Virginia, USA

  5. Symbolic Discovery of Stochastic Differential Equations with Genetic Programming

    Mar 10, 2026Sigur de Vries, Sander W. Keemink, Marcel A. J. van GervenStochastic Differential EquationsSymbolic Regression

    Department of Machine Learning and Neural Computing, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands

  6. Turning Time Series into Algebraic Equations: Symbolic Machine Learning for Interpretable Modeling of Chaotic Time Series

    Mar 7, 2026Madhurima Panja, Grace Younes, Tanujit ChakrabortyTime Series ForecastingChaotic Time-Series Prediction

    SAFIR, Sorbonne University Abu Dhabi, UAE · Sorbonne Center for Artificial Intelligence, Sorbonne University, Paris, France

  7. Symmetry-Constrained Language-Guided Program Synthesis for Discovering Governing Equations from Noisy and Partial Observations

    Mar 6, 2026Mirza Samad Ahmed Baig, Syeda Anshrah GillaniODE DiscoveryAutonomous Scientific Discovery

    Fandaqah (Owned by Dyafa), Al Khobar, Eastern Province, Saudi Arabia · Hamdard University, Karachi, Pakistan

  8. VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees

    Feb 27, 2026Somjit Roy, Pritam Dey, Bani K. MallickUncertainty QuantificationSymbolic Regression

    Department of Statistics, Texas A&M University, College Station, Texas, USA

  9. Discovery of Interpretable Physical Laws in Materials via Language-Model-Guided Symbolic Regression

    Feb 26, 2026Yifeng Guan, Chuyi Liu, Dongzhan Zhou +4Scientific DiscoverySymbolic Regression

    Shanghai Artificial Intelligence Laboratory, Shanghai, 200232, China. · School of Physics, Zhejiang University, Hangzhou, 310058, China. · Soochow Institute for Energy and Materials Innovations (SIEMIS), Soochow University, Suzhou, 215006, China. +3

  10. SymTorch: Symbolic Distillation of Neural Networks

    Feb 24, 2026Elizabeth S. Z. Tan, Adil Soubki, Miles CranmerNeural Network InterpretabilityScientific Discovery

    Department of Applied Mathematics and Theoretical Physics University of Cambridge

  11. Physics-constrained symbolic regression for discovering closed-form equations of multimodal water retention curves from experimental data

    Feb 24, 2026Yejin Kim, Hyoung Suk SuhSymbolic RegressionScientific Discovery

    Department of Civil and Environmental Engineering, Case Western Reserve University, United States

  12. GENSR: Symbolic Regression Based in Equation Generative Space

    Feb 24, 2026Qian Li, Yuxiao Hu, Juncheng Liu +1Symbolic RegressionLatent Space Optimization

    Shanghai Jiao Tong University, Shanghai, China · Eastern Institute of Technology, Ningbo, China · The Hong Kong Polytechnic University, Hong Kong, China +1

  13. Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models

    Feb 19, 2026Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen +2Materials ScienceNeural Network Interpretability

    Computational Mechanics in Medicine, Applied Medical Engineering, RWTH Aachen University Pauwelsstraße 20, 52074 Aachen, Germany · Institute for Continuum and Material Mechanics, Hamburg University of Technology Eißendorfer Straße 42, 21073 Hamburg, Germany · Institute of Applied Mechanics, University of Erlangen-Nuremberg Egerlandstrasse 5, 91058 Erlangen, Germany +1

  14. Symbolic recovery of PDEs from measurement data

    Feb 17, 2026Erion Morina, Philipp Scholl, Martin HollerPDE DiscoveryPDE Inverse Problems

    IDea Lab - The Interdisciplinary Digital Lab at the University of Graz, Austria. · Aleph Alpha Research, Germany.

  15. Learning the S-matrix from data: Rediscovering gravity from gauge theory via symbolic regression

    Feb 16, 2026Nathan MoynihanHigh-Energy PhysicsSymbolic Regression

    Queen Mary, University of London, Mile End Road, London E1 4NS, UK

  16. A Neural Operator-Based Approach to Symbolic Discovery of PDEs

    Jan 14, 2025Sergei Garmaev, Olga FinkPDE DiscoverySymbolic Regression

    Intelligent Maintenance and Operations Systems Laboratory, EPFL, Lausanne, Switzerland

  17. Symbolic Recovery of Differential Equations: The Identifiability Problem

    Oct 15, 2022Philipp Scholl, Aras Bacho, Holger Boche +1Parameter IdentifiabilityAutonomous Scientific Discovery

    Ludwig-Maximilians-Universität München Munich Germany · Technische Universität München Munich Center for Quantum Science and Technology (MCQST) Munich Quantum Valley (MQV) Munich Germany · Ludwig-Maximilians-Universität München University of Tromsø DLR-German Aerospace Center Munich Center for Machine Learning (MCML) Munich Germany