| Age groups that sustain resurging COVID-19 epidemics in the United States M Monod, A Blenkinsop, X Xi, D Hebert, S Bershan, S Tietze, M Baguelin, ... Science 371 (6536), eabe8372, 2021 | 341 | 2021 |
| Riemannian score-based generative modelling V De Bortoli, E Mathieu, M Hutchinson, J Thornton, YW Teh, A Doucet Advances in neural information processing systems 35, 2406-2422, 2022 | 187 | 2022 |
| State-level tracking of COVID-19 in the United States HJT Unwin, S Mishra, VC Bradley, A Gandy, TA Mellan, H Coupland, ... Nature communications 11 (1), 6189, 2020 | 187 | 2020 |
| Report 21: Estimating COVID-19 cases and reproduction number in Brazil TA Mellan, HH Hoeltgebaum, S Mishra, C Whittaker, RP Schnekenberg, ... medRxiv, 2020 | 140 | 2020 |
| Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, and Hyunjik Kim. Lietransformer: Equivariant self-attention for lie groups MJ Hutchinson International Conference on Machine Learning, 4533-4543, 2021 | 70 | 2021 |
| Report 20: Using mobility to estimate the transmission intensity of COVID-19 in Italy: a subnational analysis with future scenarios MAC Vollmer, S Mishra, HJT Unwin, A Gandy, TA Mellan, H Zhu, ... Imperial College COVID-19 Response Team May, 2020 | 68* | 2020 |
| LieTransformer: Equivariant self-attention for Lie Groups M Hutchinson, C Le Lan, S Zaidi, E Dupont, YW Teh, H Kim arXiv preprint arXiv:2012.10885, 2020 | 67 | 2020 |
| Equivariant learning of stochastic fields: Gaussian processes and steerable conditional neural processes P Holderrieth, MJ Hutchinson, YW Teh International conference on machine learning, 4297-4307, 2021 | 41 | 2021 |
| Diffusion models for constrained domains N Fishman, L Klarner, V De Bortoli, E Mathieu, M Hutchinson arXiv preprint arXiv:2304.05364, 2023 | 40 | 2023 |
| Vector-valued Gaussian processes on Riemannian manifolds via gauge independent projected kernels M Hutchinson, A Terenin, V Borovitskiy, S Takao, Y Teh, M Deisenroth Advances in Neural Information Processing Systems 34, 17160-17169, 2021 | 27 | 2021 |
| Riemannian score-based generative modelling VD Bortoli, E Mathieu, MJ Hutchinson, J Thornton, YW Teh, A Doucet Advances in Neural Information Processing Systems 35, 2022 | 24 | 2022 |
| Riemannian diffusion schr\" odinger bridge J Thornton, M Hutchinson, E Mathieu, V De Bortoli, YW Teh, A Doucet arXiv preprint arXiv:2207.03024, 2022 | 21 | 2022 |
| Particle denoising diffusion sampler A Phillips, HD Dau, MJ Hutchinson, V De Bortoli, G Deligiannidis, ... arXiv preprint arXiv:2402.06320, 2024 | 20 | 2024 |
| Subnational analysis of the COVID-19 epidemic in Brazil TA Mellan, HH Hoeltgebaum, S Mishra, C Whittaker, RP Schnekenberg, ... MedRxiv, 2020 | 20 | 2020 |
| Metropolis sampling for constrained diffusion models N Fishman, L Klarner, E Mathieu, M Hutchinson, V De Bortoli Advances in Neural Information Processing Systems 36, 62296-62331, 2023 | 19 | 2023 |
| Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid-19 epidemic in British local … YW Teh, B Elesedy, B He, M Hutchinson, S Zaidi, A Bhoopchand, ... Journal of the Royal Statistical Society Series A: Statistics in Society 185 …, 2022 | 16 | 2022 |
| Spectral diffusion processes A Phillips, T Seror, M Hutchinson, V De Bortoli, A Doucet, E Mathieu arXiv preprint arXiv:2209.14125, 2022 | 15 | 2022 |
| Target score matching V De Bortoli, M Hutchinson, P Wirnsberger, A Doucet arXiv preprint arXiv:2402.08667, 2024 | 14 | 2024 |
| Effectiveness and resource requirements of test, trace and isolate strategies for COVID in the UK B He, S Zaidi, B Elesedy, M Hutchinson, A Paleyes, G Harling, ... Royal Society open science 8 (3), 201491, 2021 | 11* | 2021 |
| Imperial College COVID-19 Response Team M Monod, A Blenkinsop, X Xi, D Hebert, S Bershan, S Tietze, M Baguelin, ... Age groups that sustain resurging COVID-19 epidemics in the United States …, 2021 | 9 | 2021 |
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk