Latest papers 134

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

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

  2. 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

  3. 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

  4. 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

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

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

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

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

  7. SymTorch: Symbolic Distillation of Neural Networks

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

  8. 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

  9. GENSR: Symbolic Regression Based in Equation Generative Space

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

  10. 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

  11. Symbolic recovery of PDEs from measurement data

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

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

    Feb 16, 2026Nathan MoynihanHigh-Energy PhysicsSymbolic Regression

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

    Jan 14, 2025Sergei Garmaev, Olga FinkPDE DiscoverySymbolic Regression

  14. Symbolic Recovery of Differential Equations: The Identifiability Problem

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