| Racing Control Variable Genetic Programming for Symbolic Regression | Sep 13, 2023 | Deep Reinforcement Learningregression | CodeCode Available | 0 | 5 |
| Data driven discovery of human mobility models | Jan 10, 2025 | Symbolic Regression | CodeCode Available | 0 | 5 |
| Context Matters: Adaptive Mutation for Grammars | Mar 25, 2023 | Symbolic Regression | CodeCode Available | 0 | 5 |
| SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction | May 1, 2025 | Graph AttentionProperty Prediction | CodeCode Available | 0 | 5 |
| ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization | Oct 9, 2023 | global-optimizationregression | CodeCode Available | 0 | 5 |
| Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations | Apr 15, 2024 | Additive modelsForm | CodeCode Available | 0 | 5 |
| Priors for symbolic regression | Apr 13, 2023 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery | Jun 29, 2023 | Equation DiscoverySymbolic Regression | CodeCode Available | 0 | 5 |
| AI-Assisted Discovery of Quantitative and Formal Models in Social Science | Oct 2, 2022 | counterfactualSociology | CodeCode Available | 0 | 5 |
| Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning | Jan 2, 2025 | regressionreinforcement-learning | CodeCode Available | 0 | 5 |
| Closed-Form Interpretation of Neural Network Classifiers with Symbolic Gradients | Jan 10, 2024 | Formregression | CodeCode Available | 0 | 5 |
| Celestial Machine Learning: From Data to Mars and Beyond with AI Feynman | Dec 15, 2023 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| Celestial Machine Learning: Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynman | Dec 19, 2023 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| Neural-Guided Symbolic Regression with Asymptotic Constraints | Jan 23, 2019 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| Probabilistic Lexicase Selection | May 19, 2023 | Program Synthesisregression | CodeCode Available | 0 | 5 |
| Calabi-Yau Four/Five/Six-folds as P^n_w Hypersurfaces: Machine Learning, Approximation, and Generation | Nov 28, 2023 | Symbolic Regression | CodeCode Available | 0 | 5 |
| Machine learning of Kondo physics using variational autoencoders and symbolic regression | Jul 16, 2021 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| Symbolic regression outperforms other models for small data sets | Mar 28, 2021 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| A Generic Approach for Reproducible Model Distillation | Nov 22, 2022 | Interpretable Machine Learningmodel | CodeCode Available | 0 | 5 |
| Materials-Discovery Workflows Guided by Symbolic Regression: Identifying Acid-Stable Oxides for Electrocatalysis | Dec 8, 2024 | Active LearningSymbolic Regression | CodeCode Available | 0 | 5 |
| Interpreting Microbiome Relative Abundance Data Using Symbolic Regression | Oct 18, 2024 | DiagnosticKnowledge Distillation | CodeCode Available | 0 | 5 |
| Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression | Apr 8, 2025 | regressionSurvival Analysis | CodeCode Available | 0 | 5 |
| Interpretable Scientific Discovery with Symbolic Regression: A Review | Nov 20, 2022 | Model Discoveryregression | CodeCode Available | 0 | 5 |
| Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set | Apr 8, 2024 | Fairnessregression | CodeCode Available | 0 | 5 |
| Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery | Dec 10, 2019 | Explainable Modelsregression | CodeCode Available | 0 | 5 |
| Symbolic regression by uniform random global search | Jun 18, 2019 | global-optimizationregression | CodeCode Available | 0 | 5 |
| Interaction-Transformation Evolutionary Algorithm for Symbolic Regression | Feb 11, 2019 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions | Nov 13, 2023 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| In Context Learning and Reasoning for Symbolic Regression with Large Language Models | Oct 22, 2024 | In-Context LearningSymbolic Regression | CodeCode Available | 0 | 5 |
| Improving Genetic Programming for Symbolic Regression with Equality Graphs | Jan 29, 2025 | Evolutionary Algorithmsregression | CodeCode Available | 0 | 5 |
| Improving Memory Efficiency for Training KANs via Meta Learning | Jun 9, 2025 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Grammar Variational Autoencoder | Mar 6, 2017 | Bayesian OptimizationSymbolic Regression | CodeCode Available | 0 | 5 |
| Analysing the Influence of Reorder Strategies for Cartesian Genetic Programming | Oct 1, 2024 | Symbolic Regression | CodeCode Available | 0 | 5 |
| Glyph: Symbolic Regression Tools | Mar 13, 2018 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing | Apr 8, 2024 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| Explainable Fraud Detection with Deep Symbolic Classification | Dec 1, 2023 | ClassificationFraud Detection | CodeCode Available | 0 | 5 |
| Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous Catalysis | May 30, 2024 | Feature ImportanceSymbolic Regression | CodeCode Available | 0 | 5 |
| Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks | Feb 24, 2025 | Evolutionary AlgorithmsForm | CodeCode Available | 0 | 5 |
| GFN-SR: Symbolic Regression with Generative Flow Networks | Dec 1, 2023 | Deep Reinforcement LearningInterpretable Machine Learning | CodeCode Available | 0 | 5 |
| Accelerating Genetic Programming using GPUs | Oct 15, 2021 | Binary Classificationfeature selection | CodeCode Available | 0 | 5 |
| Discovering the underlying analytic structure within Standard Model constants using artificial intelligence | Jun 30, 2025 | Symbolic Regression | CodeCode Available | 0 | 5 |
| CTR-KAN: KAN for Adaptive High-Order Feature Interaction Modeling | Aug 16, 2024 | Click-Through Rate PredictionComputational Efficiency | CodeCode Available | 0 | 5 |
| Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints | Mar 24, 2025 | Diversityregression | CodeCode Available | 0 | 5 |
| Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach | Mar 22, 2023 | Model Discoveryregression | CodeCode Available | 0 | 5 |
| Automated Modeling Method for Pathloss Model Discovery | May 29, 2025 | Kolmogorov-Arnold Networksmodel | CodeCode Available | 0 | 5 |
| Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression | Jan 25, 2024 | Feature Engineeringregression | CodeCode Available | 0 | 5 |
| Epsilon-Lexicase Selection for Regression | May 30, 2019 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations | Dec 18, 2023 | Equation Discoveryregression | CodeCode Available | 0 | 5 |
| Minimum variance threshold for epsilon-lexicase selection | Apr 8, 2024 | Evolutionary Algorithmsregression | CodeCode Available | 0 | 5 |
| PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression | Jan 25, 2024 | Interpretable Machine Learningregression | CodeCode Available | 0 | 5 |
