{"total":31,"rows":[{"id":"2310.05573","title":"ODEFormer: Symbolic Regression of Dynamical Systems with Transformers","created":"2023-10-09","cited_by_count":62,"area":null},{"id":"2305.01582","title":"Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl","created":"2023-05-02","cited_by_count":54,"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":"2307.12617","title":"Predicting Ordinary Differential Equations with Transformers","created":"2023-07-24","cited_by_count":26,"area":null},{"id":"2411.03753","title":"Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length","created":"2024-11-06","cited_by_count":17,"area":null},{"id":"2602.20557","title":"GENSR: Symbolic Regression Based in Equation Generative Space","created":"2026-02-24","cited_by_count":9,"area":null},{"id":"2208.10719","title":"Lexicase Selection at Scale","created":"2022-08-23","cited_by_count":5,"area":null},{"id":"2506.19626","title":"Scaling Up Unbiased Search-based Symbolic Regression","created":"2025-06-24","cited_by_count":5,"area":null},{"id":"2505.15572","title":"Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback","created":"2025-05-21","cited_by_count":4,"area":null},{"id":"2305.11681","title":"Probabilistic Lexicase Selection","created":"2023-05-19","cited_by_count":3,"area":null},{"id":"2306.06812","title":"Particularity","created":"2023-06-12","cited_by_count":3,"area":null},{"id":"2401.12424","title":"DALex: Lexicase-like Selection via Diverse Aggregation","created":"2024-01-23","cited_by_count":3,"area":null},{"id":"2312.12606","title":"Optimizing Neural Networks with Gradient Lexicase Selection","created":"2023-12-19","cited_by_count":2,"area":null},{"id":"2412.11139","title":"ViSymRe: Vision Multimodal Symbolic Regression","created":"2024-12-15","cited_by_count":2,"area":null},{"id":"2501.17859","title":"rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models","created":"2025-01-29","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":"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":"2408.00251","title":"Discovering Car-following Dynamics from Trajectory Data through Deep Learning","created":"2024-08-01","cited_by_count":1,"area":null},{"id":"2506.19537","title":"Dimension Reduction for Symbolic Regression","created":"2025-06-24","cited_by_count":1,"area":null},{"id":"2506.19550","title":"Discovering Symmetries of ODEs by Symbolic Regression","created":"2025-06-24","cited_by_count":1,"area":null},{"id":"2508.19487","title":"Data-Efficient Symbolic Regression via Foundation Model Distillation","created":"2025-08-27","cited_by_count":1,"area":null},{"id":"2512.07961","title":"Towards symbolic regression for interpretable clinical decision scores","created":"2025-12-08","cited_by_count":1,"area":null},{"id":"2605.12704","title":"FePySR: A Neural Feature Extraction Framework for Efficient and Scalable Symbolic Regression","created":"2026-05-12","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":"2302.00731","title":"Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning","created":"2023-02-01","cited_by_count":0,"area":null},{"id":"2307.01238","title":"Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction","created":"2023-07-03","cited_by_count":0,"area":null},{"id":"2505.06091","title":"UniSymNet: A Unified Symbolic Network Guided by Transformer","created":"2025-05-09","cited_by_count":0,"area":null},{"id":"2505.17309","title":"Decoupling Representation and Learning in Genetic Programming: the LaSER Approach","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2510.05178","title":"Auditable Unit-Aware Thresholds in Symbolic Regression via Logistic-Gated Operators","created":"2025-10-05","cited_by_count":0,"area":null},{"id":"2609.20997","title":"MOSAIC-SR: Transformer-Guided Symbolic Regression for Scientific Equation Recovery","created":"2026-09-17","cited_by_count":0,"area":null}],"next_cursor":null}