--- title: "Who cites Miles Cranmer — 61 papers of our library" description: "61 papers of the Elamur Research library cite the works of Miles Cranmer, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/miles-cranmer/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/miles-cranmer/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Miles Cranmer](https://md.research.elamur.ai/free/en/authors/miles-cranmer/) / cited by # 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](https://md.research.elamur.ai/free/en/authors/miles-cranmer/) 1. [**Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl arXiv:2305.01582**Miles Cranmer (Princeton University, Flatiron Institute)*2023 · 216 citations*](https://md.research.elamur.ai/free/en/papers/university-2023-interpretable-machine-learning-science/) 2. [**AlphaEvolve: A coding agent for scientific and algorithmic discovery arXiv:2506.13131**Alexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.*2025 · 202 citations*](https://md.research.elamur.ai/free/en/papers/novikov-2025-alphaevolve-coding-agent-scientific-algorithmic/) 3. **[Transformers Can Do Arithmetic with the Right Embeddings](https://md.research.elamur.ai/free/en/papers/mcleish-2024-transformers-arithmetic-right-embeddings/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Sean McLeish, Arpit Bansal, Alex Stein, et al.*2024 · 36 citations* 4. [**End-to-end symbolic regression with transformers arXiv:2204.10532**Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, et al.*2022 · 27 citations*](https://md.research.elamur.ai/free/en/papers/kamienny-2022-end-end-symbolic-regression-transformers/) 5. **[Symbolic Regression with a Learned Concept Library](https://md.research.elamur.ai/free/en/papers/grayeli-2024-symbolic-regression-learned-concept-library/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, et al.*2024 · 23 citations* 6. **[Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems](https://md.research.elamur.ai/free/en/papers/kramer-2023-automated-scientific-discovery-equation/) [Machine Learning](https://md.research.elamur.ai/free/en/venues/machine-learning/)**Stefan Kramer, Mattia Cerrato, Jannis Brugger, et al.*2023 · 13 citations* 7. [**Neuro-Symbolic Artificial Intelligence: Current Trends arXiv:2105.05330**Md Kamruzzaman Sarker, Lu Zhou, Aaron Eberhart, et al.*2021 · 12 citations*](https://md.research.elamur.ai/free/en/papers/sarker-2021-neuro-symbolic-artificial-intelligence/) 8. **[Retrofitting Large Language Models with Dynamic Tokenization](https://md.research.elamur.ai/free/en/papers/feher-2025-retrofitting-large-language-models-dynamic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Darius Feher, Ivan Vulić, Benjamin Minixhofer*2025 · 11 citations* 9. [**DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience arXiv:2506.04282**Runxiang Wang, Boxiao Wang, Kai Li, et al.*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-drsr-llm-based-scientific-equation/) 10. [**SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training arXiv:2310.02227**Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, et al.*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/meidani-2023-snip-bridging-mathematical-symbolic-numeric/) 11. [**Neurosymbolic Programming for Science arXiv:2210.05050**Jennifer J. Sun, Megan Tjandrasuwita, Atharva Sehgal, et al.*2022 · 6 citations*](https://md.research.elamur.ai/free/en/papers/sun-2022-neurosymbolic-programming-science/) 12. **[Can We Predict Before Executing Machine Learning Agents?](https://md.research.elamur.ai/free/en/papers/zheng-2026-can-we-predict-before-executing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 Search](https://md.research.elamur.ai/free/en/papers/zhang-2026-what-makes-llm-good-optimizer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinhao Zhang, Xi Chen, François Portet, et al.*2026 · 1 citation* 48 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/miles-cranmer/) — Miles Cranmer