🧑‍🔬 Who cites Miles Cranmer

69 citations of their works from 61 papers of our library (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · ← Miles Cranmer

1. Interpretable Machine Learning for Science with PySR and SymbolicRegression.jlarXiv:2305.01582Miles Cranmer (Princeton University, Flatiron Institute)2023 · 216 citations
2. AlphaEvolve: A coding agent for scientific and algorithmic discoveryarXiv:2506.13131Alexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.2025 · 202 citations
3. Transformers Can Do Arithmetic with the Right EmbeddingsConference on Neural Information Processing Systems (NeurIPS)Sean McLeish, Arpit Bansal, Alex Stein, et al.2024 · 36 citations
4. End-to-end symbolic regression with transformersarXiv:2204.10532Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, et al.2022 · 27 citations
5. 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
6. Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery SystemsMachine LearningStefan Kramer, Mattia Cerrato, Jannis Brugger, et al.2023 · 13 citations
7. Neuro-Symbolic Artificial Intelligence: Current TrendsarXiv:2105.05330Md Kamruzzaman Sarker, Lu Zhou, Aaron Eberhart, et al.2021 · 12 citations
8. Retrofitting Large Language Models with Dynamic TokenizationAnnual Meeting of the Association for Computational Linguistics (ACL)Darius Feher, Ivan Vulić, Benjamin Minixhofer2025 · 11 citations
9. 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
10. SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-trainingarXiv:2310.02227Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, et al.2023 · 8 citations
11. Neurosymbolic Programming for SciencearXiv:2210.05050Jennifer J. Sun, Megan Tjandrasuwita, Atharva Sehgal, et al.2022 · 6 citations
12. Can We Predict Before Executing Machine Learning Agents?Annual Meeting of the Association for Computational Linguistics (ACL)Jingsheng Zheng, Jintian Zhang, Yujie Luo, et al.2026 · 2 citations
13. What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary SearchFindings of the Association for Computational LinguisticsXinhao Zhang, Xi Chen, François Portet, et al.2026 · 1 citation

48 more citing papers of our library have no page here yet.

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