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Department of Applied Mathematics and Theoretical Physics

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

The Seismic Wavefield Common Task Framework
A Yermakov, Y Zhao, M Denolle, Y Ni, PM Wyder, J Goldfeder, S Riva, J Williams, D Zoro, AS Rude, M Tomasetto, J Germany, J Bakarji, G Maierhofer, M Cranmer, JN Kutz
(2026)
(doi: 10.48550/arxiv.2512.19927)
On the Value of Tokeniser Pretraining in Physics Foundation Models
H Sotoudeh, P Mukhopadhyay, R Ohana, M McCabe, ND Lawrence, S Ho, M Cranmer
(2026)
(doi: 10.48550/arxiv.2603.05598)
Overtone: Cyclic Patch Modulation for Clean, Efficient, and Flexible Physics Emulators
P Mukhopadhyay, M McCabe, R Ohana, M Cranmer
(2026)
(doi: 10.48550/arxiv.2507.09264)
Comparative biosignatures with systemic retrievals
T Constantinou, O Shorttle, M Cranmer, PB Rimmer
(2026)
(doi: 10.48550/arxiv.2505.01512)
Comparative biosignatures with systemic retrievals
T Constantinou, O Shorttle, M Cranmer, PB Rimmer
– Monthly Notices of the Royal Astronomical Society
(2026)
547,
stag316
(doi: 10.1093/mnras/stag316)
Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms
PM Wyder, J Goldfeder, A Yermakov, Y Zhao, S Riva, JP Williams, D Zoro, AS Rude, M Tomasetto, J Germany, J Bakarji, G Maierhofer, M Cranmer, JN Kutz
(2025)
(doi: 10.48550/arxiv.2510.23166)
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
– 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)
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Research Group

Relativity and Gravitation

Email

mc2473@cam.ac.uk

Room

B2.17

Study at Cambridge

About the University

Research at Cambridge