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Relativity and Gravitation Group

Dr Miles Cranmer

Assistant Professor in Data Intensive Science in DAMTP and the IoA, working on AI for scientific discovery.

Research: Google Scholar

Group page: astroautomata.com



[quanta magazine]

 

Publications

Walrus: A Cross-Domain Foundation Model for Continuum Dynamics
M McCabe, P Mukhopadhyay, T Marwah, BR-S Blancard, F Rozet, C Diaconu, L Meyer, KWK Wong, H Sotoudeh, A Bietti, I Espejo, R Fear, S Golkar, T Hehir, K Hirashima, G Krawezik, F Lanusse, R Morel, R Ohana, L Parker, M Pettee, J Shen, K Cho, M Cranmer, S Ho
(2025)
(doi: 10.48550/arxiv.2511.15684)
Call for Action: Towards the Next Generation of Symbolic Regression Benchmark
GSI Aldeia, H Zhang, G Bomarito, M Cranmer, A Fonseca, B Burlacu, WG La Cava, FO de França
– Gecco 2025 Companion Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion
(2025)
2529
(doi: 10.1145/3712255.3734309)
SymbolFit: Automatic Parametric Modeling with Symbolic Regression
HF Tsoi, D Rankin, C Caillol, M Cranmer, S Dasu, J Duarte, P Harris, E Lipeles, V Loncar
– Computing and Software for Big Science
(2025)
9,
12
(doi: 10.1007/s41781-025-00140-9)
SymbolFit: Automatic Parametric Modeling with Symbolic Regression
HF Tsoi, D Rankin, C Caillol, M Cranmer, S Dasu, J Duarte, P Harris, E Lipeles, V Loncar
(2025)
(doi: 10.48550/arxiv.2411.09851)
Call for Action: towards the next generation of symbolic regression benchmark
GSI Aldeia, H Zhang, G Bomarito, M Cranmer, A Fonseca, B Burlacu, WG La Cava, FO de França
(2025)
(doi: 10.48550/arxiv.2505.03977)
The ones that got away: chemical tagging of globular cluster-origin stars with Gaia BP/RP spectra
SG Kane, V Belokurov, M Cranmer, S Monty, H Zhang, A Ardern-Arentsen, E Kane
(2025)
(doi: 10.48550/arxiv.2409.00197)
AION-1: Omnimodal Foundation Model for Astronomical Sciences
L Parker, F Lanusse, J Shen, O Liu, T Hehir, L Sarra, L Meyer, M Bowles, S Wagner-Carena, H Qu, S Golkar, A Bietti, H Bourfoune, N Casserau, P Cornette, K Hirashima, G Krawezik, R Ohana, N Lourie, M McCabe, R Morel, P Mukhopadhyay, M Pettee, BR-S Blancard, K Cho, M Cranmer, S Ho
(2025)
Machine Learning with Physics Knowledge for Prediction: A Survey
J Watson, C Song, O Weeger, T Gruner, AT Le, K Pompetzki, A Hendawy, O Arenz, W Trojak, M Cranmer, C D’eramo, F Bülow, T Goyal, J Peters, MW Hoffman
– Transactions on Machine Learning Research
(2025)
2025-May,
xVal: A Continuous Numerical Tokenization for Scientific Language Models
S Golkar, M Pettee, M Eickenberg, A Bietti, M Cranmer, G Krawezik, F Lanusse, M McCabe, R Ohana, L Parker, BR-S Blancard, T Tesileanu, K Cho, S Ho
(2024)
(doi: 10.48550/arxiv.2310.02989)
Multiple Physics Pretraining for Physical Surrogate Models
M McCabe, BR-S Blancard, LH Parker, R Ohana, M Cranmer, A Bietti, M Eickenberg, S Golkar, G Krawezik, F Lanusse, M Pettee, T Tesileanu, K Cho, S Ho
(2024)
(doi: 10.48550/arxiv.2310.02994)
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Research Group

Relativity and Gravitation

Email

mc2473@cam.ac.uk

Room

B2.17

Study at Cambridge

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Research at Cambridge