🔗 Who cites «AI Feynman: a Physics-Inspired Method for Symbolic Regression»

34 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · ← back to «AI Feynman: a Physics-Inspired Method for Symbolic Regression»

1. Discovering Symbolic Models from Deep Learning with Inductive BiasesarXiv:2006.11287Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, et al.2020 · 272 citations
2. Interpretable Machine Learning for Science with PySR and SymbolicRegression.jlarXiv:2305.01582Miles Cranmer (Princeton University, Flatiron Institute)2023 · 216 citations
3. Contemporary Symbolic Regression Methods and their Relative PerformancearXiv:2107.14351William La Cava, Patryk Orzechowski, Bogdan Burlacu, et al.2021 · 156 citations
4. LLM-SR: Scientific Equation Discovery via Programming with Large Language ModelsarXiv:2404.18400Parshin Shojaee, Kazem Meidani, Shashank Gupta, et al.2024 · 47 citations
5. From Automation to Autonomy: A Survey on Large Language Models in Scientific DiscoveryConference on Empirical Methods in Natural Language Processing (EMNLP)Tianshi Zheng, Zheye Deng, Hong Ting Tsang, et al.2025 · 39 citations
6. Symbolic Regression is NP-hardarXiv:2207.01018Marco Virgolin, Solon P. Pissis2022 · 35 citations
7. End-to-end symbolic regression with transformersarXiv:2204.10532Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, et al.2022 · 27 citations
8. Symbolic Regression with a Learned Concept LibraryConference on Neural Information Processing Systems (NeurIPS)Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, et al.2024 · 23 citations
9. LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language ModelsarXiv:2504.10415Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, et al.2025 · 18 citations
10. Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery SystemsMachine LearningStefan Kramer, Mattia Cerrato, Jannis Brugger, et al.2023 · 13 citations
11. DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and ExperiencearXiv:2506.04282Runxiang Wang, Boxiao Wang, Kai Li, et al.2025 · 9 citations
12. SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-trainingarXiv:2310.02227Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, et al.2023 · 8 citations
13. A Survey of AI ScientistsarXiv:2510.23045Guiyao Tie, Pan Zhou, Lichao Sun2025 · 5 citations
14. The Past and Future of AI ScientistsarXiv:2608.14407Ross D. King2026

20 more papers of our library cite it; they have no page here yet.

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