{"total":41,"rows":[{"id":"2206.10540","title":"Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery","created":"2022-06-21","cited_by_count":46,"area":null},{"id":"2209.06257","title":"A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge","created":"2022-09-13","cited_by_count":31,"area":null},{"id":"2103.15624","title":"Shape-constrained Symbolic Regression -- Improving Extrapolation with Prior Knowledge","created":"2021-03-29","cited_by_count":27,"area":null},{"id":"2406.18394","title":"AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors","created":"2024-06-26","cited_by_count":27,"area":null},{"id":"2302.10787","title":"Benchmarking sparse system identification with low-dimensional chaos","created":"2023-02-04","cited_by_count":19,"area":null},{"id":"2505.03977","title":"Call for Action: towards the next generation of symbolic regression benchmark","created":"2025-05-06","cited_by_count":17,"area":null},{"id":"2205.15569","title":"GSR: A Generalized Symbolic Regression Approach","created":"2022-05-31","cited_by_count":11,"area":null},{"id":"2106.06085","title":"Problem-solving benefits of down-sampled lexicase selection","created":"2021-06-10","cited_by_count":8,"area":null},{"id":"2205.01626","title":"Automated Learning of Interpretable Models with Quantified Uncertainty","created":"2022-04-12","cited_by_count":8,"area":null},{"id":"2206.00257","title":"CoNSoLe: Convex Neural Symbolic Learning","created":"2022-06-01","cited_by_count":7,"area":null},{"id":"2509.03036","title":"Knowledge Integration for Physics-informed Symbolic Regression Using Pre-trained Large Language Models","created":"2025-09-03","cited_by_count":7,"area":null},{"id":"2304.01117","title":"Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition","created":"2023-04-03","cited_by_count":6,"area":null},{"id":"2306.04120","title":"MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation","created":"2023-06-07","cited_by_count":6,"area":null},{"id":"2311.06028","title":"Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks","created":"2023-11-10","cited_by_count":5,"area":null},{"id":"2107.06475","title":"Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers","created":"2021-07-14","cited_by_count":4,"area":null},{"id":"2206.12082","title":"Symbolic-Regression Boosting","created":"2022-06-24","cited_by_count":4,"area":null},{"id":"2304.08915","title":"Differentiable Genetic Programming for High-dimensional Symbolic Regression","created":"2023-04-18","cited_by_count":4,"area":null},{"id":"2306.06812","title":"Particularity","created":"2023-06-12","cited_by_count":3,"area":null},{"id":"2312.08472","title":"AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions","created":"2023-12-13","cited_by_count":3,"area":null},{"id":"2404.05908","title":"Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set","created":"2024-04-08","cited_by_count":3,"area":null},{"id":"2209.09675","title":"Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization","created":"2022-09-20","cited_by_count":2,"area":null},{"id":"2302.04791","title":"Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions","created":"2023-02-09","cited_by_count":2,"area":null},{"id":"2405.06848","title":"ISR: Invertible Symbolic Regression","created":"2024-05-10","cited_by_count":2,"area":null},{"id":"2406.17834","title":"Univariate Skeleton Prediction in Multivariate Systems Using Transformers","created":"2024-06-25","cited_by_count":2,"area":null},{"id":"2504.10253","title":"TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming","created":"2025-04-14","cited_by_count":2,"area":null},{"id":"2508.21484","title":"Data-driven Discovery of Digital Twins in Biomedical Research","created":"2025-08-29","cited_by_count":2,"area":null},{"id":"2204.10529","title":"Exploring Hidden Semantics in Neural Networks with Symbolic Regression","created":"2022-04-22","cited_by_count":1,"area":null},{"id":"2306.00153","title":"Information Fusion via Symbolic Regression: A Tutorial in the Context of Human Health","created":"2023-05-31","cited_by_count":1,"area":null},{"id":"2410.19496","title":"A neural network approach for solving the Monge-Amp\\`ere equation with transport boundary condition","created":"2024-10-25","cited_by_count":1,"area":null},{"id":"2508.08080","title":"Symbolic Quantile Regression for the Interpretable Prediction of Conditional Quantiles","created":"2025-08-11","cited_by_count":1,"area":null},{"id":"2603.06869","title":"Symmetry-Constrained Language-Guided Program Synthesis for Discovering Governing Equations from Noisy and Partial Observations","created":"2026-03-06","cited_by_count":1,"area":null},{"id":"2609.03352","title":"Efficient Constant Optimization for Symbolic Regression with GPU-Accelerated Tree-Based Genetic Programming","created":"2026-09-03","cited_by_count":1,"area":null},{"id":"2102.13388","title":"Zoetrope Genetic Programming for Regression","created":"2021-02-26","cited_by_count":0,"area":null},{"id":"2105.01196","title":"EBIC.JL -- an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia","created":"2021-05-03","cited_by_count":0,"area":null},{"id":"2112.13285","title":"Pedagogical Rule Extraction to Learn Interpretable Models - an Empirical Study","created":"2021-12-25","cited_by_count":0,"area":null},{"id":"2202.13040","title":"Iterative Genetic Improvement: Scaling Stochastic Program Synthesis","created":"2022-02-26","cited_by_count":0,"area":null},{"id":"2401.05382","title":"Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction","created":"2023-12-18","cited_by_count":0,"area":null},{"id":"2404.16361","title":"Evolutionary Causal Discovery with Relative Impact Stratification for Interpretable Data Analysis","created":"2024-04-25","cited_by_count":0,"area":null},{"id":"2411.03358","title":"SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration","created":"2024-11-05","cited_by_count":0,"area":null},{"id":"2502.20319","title":"Impilict Runge-Kutta based sparse identification of governing equations in biologically motivated systems","created":"2025-02-27","cited_by_count":0,"area":null},{"id":"2606.09276","title":"ERBench: A Benchmark and Testsuite for Equation Discovery Algorithms","created":"2026-06-08","cited_by_count":0,"area":null}],"next_cursor":null}