| AI-Lorenz: A physics-data-driven framework for black-box and gray-box identification of chaotic systems with symbolic regression | Dec 21, 2023 | Symbolic Regression | CodeCode Available | 1 | 5 |
| Machine-Guided Discovery of a Real-World Rogue Wave Model | Nov 21, 2023 | Model Selectionregression | CodeCode Available | 1 | 5 |
| Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery | Jun 21, 2022 | regressionscientific discovery | CodeCode Available | 1 | 5 |
| Machine learning in physics: a short guide | Oct 16, 2023 | Causal Inferenceregression | CodeCode Available | 1 | 5 |
| Probabilistic Grammars for Equation Discovery | Dec 1, 2020 | Equation DiscoverySymbolic Regression | CodeCode Available | 1 | 5 |
| A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge | Sep 13, 2022 | regressionSymbolic Regression | CodeCode Available | 1 | 5 |
| MMSR: Symbolic Regression is a Multi-Modal Information Fusion Task | Feb 28, 2024 | Combinatorial OptimizationContrastive Learning | CodeCode Available | 1 | 5 |
| A Transformer Model for Symbolic Regression towards Scientific Discovery | Dec 7, 2023 | regressionscientific discovery | CodeCode Available | 1 | 5 |
| SymbolicGPT: A Generative Transformer Model for Symbolic Regression | Jun 27, 2021 | Language ModelingLanguage Modelling | CodeCode Available | 1 | 5 |
| Neural Symbolic Regression that Scales | Jun 11, 2021 | regressionscientific discovery | CodeCode Available | 1 | 5 |
| Chaos as an interpretable benchmark for forecasting and data-driven modelling | Oct 11, 2021 | BenchmarkingSymbolic Regression | CodeCode Available | 1 | 5 |
| Multi-View Symbolic Regression | Feb 6, 2024 | Astronomyregression | CodeCode Available | 1 | 5 |
| On the functional form of the radial acceleration relation | Jan 11, 2023 | Formregression | CodeCode Available | 1 | 5 |
| Dimensionless machine learning: Imposing exact units equivariance | Apr 2, 2022 | BIG-bench Machine LearningSymbolic Regression | CodeCode Available | 1 | 5 |
| Opening the AI black box: program synthesis via mechanistic interpretability | Feb 7, 2024 | Program SynthesisSymbolic Regression | CodeCode Available | 1 | 5 |
| Deep Learning and Symbolic Regression for Discovering Parametric Equations | Jul 1, 2022 | BIG-bench Machine LearningDeep Learning | CodeCode Available | 1 | 5 |
| Deep Generative Symbolic Regression | Dec 30, 2023 | FormHeuristic Search | CodeCode Available | 1 | 5 |
| Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients | Dec 10, 2019 | regressionReinforcement Learning | CodeCode Available | 1 | 5 |
| Discovering Partially Known Ordinary Differential Equations: a Case Study on the Chemical Kinetics of Cellulose Degradation | Apr 4, 2025 | regressionSymbolic Regression | CodeCode Available | 1 | 5 |
| Discovering State Variables Hidden in Experimental Data | Dec 20, 2021 | Symbolic Regression | CodeCode Available | 1 | 5 |
| Efficient Generator of Mathematical Expressions for Symbolic Regression | Feb 20, 2023 | Evolutionary Algorithmsregression | CodeCode Available | 1 | 5 |
| End-to-end symbolic regression with transformers | Apr 22, 2022 | regressionSymbolic Regression | CodeCode Available | 1 | 5 |
| Boolformer: Symbolic Regression of Logic Functions with Transformers | Sep 21, 2023 | Binary Classificationregression | CodeCode Available | 1 | 5 |
| ODEFormer: Symbolic Regression of Dynamical Systems with Transformers | Oct 9, 2023 | regressionSymbolic Regression | CodeCode Available | 1 | 5 |
| Symbolic Learning to Optimize: Towards Interpretability and Scalability | Mar 13, 2022 | Symbolic Regression | CodeCode Available | 1 | 5 |
| SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training | Oct 3, 2023 | Contrastive LearningEquation Discovery | CodeCode Available | 1 | 5 |
| SRSD: Rethinking Datasets of Symbolic Regression for Scientific Discovery | Dec 2, 2022 | regressionscientific discovery | CodeCode Available | 1 | 5 |
| AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity | Jun 18, 2020 | regressionSymbolic Regression | CodeCode Available | 1 | 5 |
| Automated discovery of symbolic laws governing skill acquisition from naturally occurring data | Apr 8, 2024 | Feature ImportanceSymbolic Regression | CodeCode Available | 0 | 5 |
| Neural-Guided Symbolic Regression with Asymptotic Constraints | Jan 23, 2019 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| Automated discovery of interpretable gravitational-wave population models | Jul 25, 2022 | Symbolic Regression | CodeCode Available | 0 | 5 |
| Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter | Jan 4, 2022 | Symbolic Regression | CodeCode Available | 0 | 5 |
| A Seq2Seq approach to Symbolic Regression | Oct 17, 2020 | Benchmarkingregression | CodeCode Available | 0 | 5 |
| Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large p | Oct 17, 2024 | Benchmarkingregression | CodeCode Available | 0 | 5 |
| Minimum variance threshold for epsilon-lexicase selection | Apr 8, 2024 | Evolutionary Algorithmsregression | CodeCode Available | 0 | 5 |
| Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning | Jan 2, 2025 | regressionreinforcement-learning | CodeCode Available | 0 | 5 |
| Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression | Jul 31, 2023 | Active LearningDiversity | 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 |
| A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic Regression | Feb 9, 2022 | regressionreinforcement-learning | 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 |
| DALex: Lexicase-like Selection via Diverse Aggregation | Jan 23, 2024 | Program SynthesisSymbolic Regression | CodeCode Available | 0 | 5 |
| A probabilistic and multi-objective analysis of lexicase selection and epsilon-lexicase selection | Sep 15, 2017 | Program Synthesisregression | CodeCode Available | 0 | 5 |
| Interpreting Microbiome Relative Abundance Data Using Symbolic Regression | Oct 18, 2024 | DiagnosticKnowledge Distillation | CodeCode Available | 0 | 5 |
| Context Matters: Adaptive Mutation for Grammars | Mar 25, 2023 | Symbolic 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 |
| Interaction-Transformation Evolutionary Algorithm for Symbolic Regression | Feb 11, 2019 | 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 |
| Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery | Dec 10, 2019 | Explainable Modelsregression | 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 |
| In Context Learning and Reasoning for Symbolic Regression with Large Language Models | Oct 22, 2024 | In-Context LearningSymbolic Regression | CodeCode Available | 0 | 5 |
