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

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

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

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

  3. Discovery of Nonlinear Dynamics with Automated Basis Function Generation

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

  4. 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

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

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

  6. 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

  7. Deep Variational Inference Symbolic Regression

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

  8. Additive Atomic Forests for Symbolic Function and Antiderivative Discovery

    May 1, 2026Reda BelaicheSymbolic Regression

  9. Machine Collective Intelligence for Explainable Scientific Discovery

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

  10. Architecture-Induced Recoverability Bias in Differentiable Symbolic Regression

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

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

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

  12. Neuro-Symbolic ODE Discovery with Latent Grammar Flow

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

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

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

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

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

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

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

  16. 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

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

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

  18. 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

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

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

  20. Instruction Set and Language for Symbolic Regression

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

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

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

  22. 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

  23. 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

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

    Mar 16, 2026Martin G. FraschScientific DiscoveryModel Selection

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

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

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

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

  27. Bayesian Symbolic Regression for Missing Physics

    Mar 16, 2026Arno StrouwenSymbolic RegressionUncertainty Quantification

  28. Data-driven Progressive Discovery of Physical Laws

    Mar 14, 2026Mingkun Xia, Weiwei ZhangScientific DiscoverySymbolic Regression