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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

Physics Steering: Causal Control of Cross-Domain Concepts in a Physics Foundation Model
RA Fear, P Mukhopadhyay, M McCabe, A Bietti, M Cranmer
(2025)
(doi: 10.48550/arxiv.2511.20798)
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme
R Morel, FP Ramunno, J Shen, A Bietti, K Cho, M Cranmer, S Golkar, O Gugnin, G Krawezik, T Marwah, M McCabe, L Meyer, P Mukhopadhyay, R Ohana, L Parker, H Qu, F Rozet, KD Leka, F Lanusse, D Fouhey, S Ho
(2025)
(doi: 10.48550/arxiv.2511.19390)
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
– Proceedings of the 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)
Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms
P Wyder, J Goldfeder, A Yermakov, Y Zhao, S Riva, J Williams, D Zoro, A Rude, M Tomasetto, J Germany, J Bakarji, G Maierhofer, M Cranmer, N Kutz
– Advances in Neural Information Processing Systems 38
(2025)
188884
(doi: 10.52202/085713-5677)
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,
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)
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Research Group

Relativity and Gravitation

Email

mc2473@cam.ac.uk

Room

B2.17

Study at Cambridge

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