--- title: "Miles Cranmer — author profile and papers — Elamur Research" description: "Miles Cranmer, University of Cambridge: 3 papers on Elamur Research (2020–2024), h-index 18 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/miles-cranmer/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/miles-cranmer/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Miles Cranmer # Miles Cranmer Miles Cranmer has 3 papers in our library, in 2020–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Tokenization & segmentation](https://md.research.elamur.ai/free/en/topics/tokenization/); often with [Alberto Bietti](https://md.research.elamur.ai/free/en/authors/alberto-bietti/), [Alvaro Sanchez-Gonzalez](https://md.research.elamur.ai/free/en/authors/alvaro-sanchez-gonzalez/), [Atharva Sehgal](https://md.research.elamur.ai/free/en/authors/atharva-sehgal/). 3 papers in our library · 2020–2024 [OpenAlex](https://openalex.org/A5078731429) · [ORCID](https://orcid.org/0000-0002-6458-3423) · [Wikidata](https://www.wikidata.org/wiki/Q87201342) · [**h-index 18**](https://openalex.org/authors/A5078731429) · [78 works](https://openalex.org/works?filter=author.id:A5078731429) · [1,570 citations](https://openalex.org/works?filter=author.id:A5078731429&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/miles-cranmer/#papers) · [🔗 Cited 69 times in our library](https://md.research.elamur.ai/free/en/authors/miles-cranmer/cited-by/) · [8 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5604](https://md.research.elamur.ai/free/en/paper-stars/page/57/#star-5604) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Miles+Cranmer) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Miles+Cranmer) · [dblp](https://dblp.org/search?q=Miles+Cranmer) · [ACL Anthology](https://aclanthology.org/search/?q=Miles+Cranmer) ## Affiliations [🎓**University of Cambridge** Cambridge · United Kingdom 2023–2026 · 15 papersEmployment since 2023 · Assistant Professor, Department of Applied Mathematics and Theoretical Physics; Institute of Astronomy*current*](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**Princeton University** Princeton · United States 2018–2024 · 32 papersEducation 2018–2023 · PhD, Astrophysical SciencesEducation 2018–2020 · MA, Astrophysical SciencesEmployment 2018–2023 · Graduate Student, Astrophysical Sciences](https://md.research.elamur.ai/free/en/universities/princeton-university/) · [🔬**Flatiron Institute** New York · United States 2022–2024 · 7 papersEmployment 2023 · Research Fellow, Center for Computational Astrophysics](https://md.research.elamur.ai/free/en/labs/flatiron-institute/) · [🎓**McGill University** Montreal · Canada 2014–2018 · 2 papersEducation 2014–2018 · B.Sc., Physics](https://md.research.elamur.ai/free/en/universities/mcgill-university/) · [🔬**Trottier Space Institute at McGill** Montreal · Canada 2017–2018 · 2 papers](https://ror.org/05qpt6q22) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Materials Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/) · [Materials Science · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Physics and Astronomy · 1 work](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/) · [Statistical and Nonlinear Physics · 1 work](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/statistical-and-nonlinear-physics/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Tokenization & segmentation · 1 work](https://md.research.elamur.ai/free/en/topics/tokenization/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/miles-cranmer/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/miles-cranmer/year/2023/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/miles-cranmer/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[Discovering Symbolic Models from Deep Learning with Inductive Biases](https://md.research.elamur.ai/free/en/papers/cranmer-2020-discovering-symbolic-models-deep/)** *(2020 · 272 citations)* Symbolic regression produces compact, interpretable formulas, but its search cost grows exponentially with the number of inputs. 2. **[Symbolic Regression with a Learned Concept Library](https://md.research.elamur.ai/free/en/papers/grayeli-2024-symbolic-regression-learned-concept-library/)** *(2024 · 23 citations)* Symbolic regression (SR) looks for short mathematical expressions that explain a dataset. Its search space is discrete and grows exponentially, and leading genetic methods such as PySR explore it through random mutation and crossover. The authors propose LaSR, which adds a human-like layer of abstraction. An LLM… 3. **[xVal: A Continuous Numerical Tokenization for Scientific Language Models](https://md.research.elamur.ai/free/en/papers/golkar-2023-xval-continuous-numerical-tokenization-scientific/)** *(2023 · 19 citations)* Standard LLMs split numbers into discrete text tokens, so they do not capture magnitude or continuity well. ## All works 11 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. [**Discovering Symbolic Models from Deep Learning with Inductive Biases arXiv:2006.11287**Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, et al.*2020 · 272 citations*](https://md.research.elamur.ai/free/en/papers/cranmer-2020-discovering-symbolic-models-deep/) 2. **[AstroCLIP: a cross-modal foundation model for galaxies ↗](https://doi.org/10.1093/mnras/stae1450) Monthly Notices of the Royal Astronomical Society · no summary yet**Liam Parker et al.*2024 · 76 citations* 3. **[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* 4. **[Multiple Physics Pretraining for Physical Surrogate Models ↗](https://arxiv.org/abs/2310.02994) arXiv (Cornell University) · no summary yet**McCabe, Michael et al.*2023 · 22 citations* 5. [**xVal: A Continuous Numerical Tokenization for Scientific Language Models arXiv:2310.02989**Siavash Golkar, Mariel Pettee, Michael Eickenberg, et al.*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/golkar-2023-xval-continuous-numerical-tokenization-scientific/) 6. **[Multiple Physics Pretraining for Spatiotemporal Surrogate Models ↗](https://doi.org/10.52202/079017-3791) neural information processing systems · no summary yet**Michael McCabe et al.*2024 · 14 citations* 7. **[AION-1: Omnimodal Foundation Model for Astronomical Sciences ↗](https://doi.org/10.52202/085713-3189) neural information processing systems · no summary yet**Liam Parker et al.*2025 · 2 citations* 8. **[Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task ↗](https://arxiv.org/abs/2406.02585) arXiv (Cornell University) · no summary yet**Siavash Golkar et al.*2024 · 2 citations* 9. **[MIMIC: A Generative Multimodal Foundation Model for Biomolecules ↗](https://arxiv.org/abs/2604.24506) arXiv (Cornell University) · no summary yet**Siavash Golkar et al.*2026 · 1 citation* 10. **[Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence ↗](https://arxiv.org/abs/2606.01470) arXiv (Cornell University) · no summary yet**Payel Mukhopadhyay et al.*2026* 11. **[Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning ↗](https://arxiv.org/abs/2510.17959) arXiv (Cornell University) · no summary yet**Jeff Shen et al.*2025* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Alberto Bietti](https://md.research.elamur.ai/free/en/authors/alberto-bietti/) - [Alvaro Sanchez-Gonzalez](https://md.research.elamur.ai/free/en/authors/alvaro-sanchez-gonzalez/) - [Atharva Sehgal](https://md.research.elamur.ai/free/en/authors/atharva-sehgal/) - [Omar Costilla-Reyes](https://md.research.elamur.ai/free/en/authors/omar-costilla-reyes/) - [Peter Battaglia](https://md.research.elamur.ai/free/en/authors/peter-battaglia/) - [Rui Xu](https://md.research.elamur.ai/free/en/authors/rui-xu/) - [Swarat Chaudhuri](https://md.research.elamur.ai/free/en/authors/swarat-chaudhuri/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - neural information processing systems ×2 - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) - Monthly Notices of the Royal Astronomical Society ## Cited by Papers of our library cite their works 69 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/miles-cranmer/cited-by/). Updated 3 November 2026