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Michael Hutchinson
Michael Hutchinson
Isomorphic Labs
Adresse e-mail validée de isomorphiclabs.com - Page d'accueil
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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
3542021
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
1892020
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
1832022
Report 21: Estimating COVID-19 cases and reproduction number in Brazil
TA Mellan, HH Hoeltgebaum, S Mishra, C Whittaker, RP Schnekenberg, ...
medRxiv, 2020
1452020
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, 2020
712020
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
69*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
622020
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
392021
Diffusion models for constrained domains
N Fishman, L Klarner, V De Bortoli, E Mathieu, M Hutchinson
arXiv preprint arXiv:2304.05364, 2023
332023
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
282021
Riemannian score-based generative modelling
VD Bortoli, E Mathieu, MJ Hutchinson, J Thornton, YW Teh, A Doucet
Advances in Neural Information Processing Systems, 46, 2022
232022
Subnational analysis of the COVID-19 epidemic in Brazil
TA Mellan, HH Hoeltgebaum, S Mishra, C Whittaker, RP Schnekenberg, ...
MedRxiv, 2020
212020
Riemannian diffusion schr\" odinger bridge
J Thornton, M Hutchinson, E Mathieu, V De Bortoli, YW Teh, A Doucet
arXiv preprint arXiv:2207.03024, 2022
182022
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
142022
Metropolis sampling for constrained diffusion models
N Fishman, L Klarner, E Mathieu, M Hutchinson, V De Bortoli
Advances in Neural Information Processing Systems 36, 2024
132024
Spectral diffusion processes
A Phillips, T Seror, M Hutchinson, V De Bortoli, A Doucet, E Mathieu
arXiv preprint arXiv:2209.14125, 2022
132022
Particle Denoising Diffusion Sampler
A Phillips, HD Dau, MJ Hutchinson, V De Bortoli, G Deligiannidis, ...
arXiv preprint arXiv:2402.06320, 2024
122024
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
10*2021
Geometric neural diffusion processes
E Mathieu, V Dutordoir, M Hutchinson, V De Bortoli, YW Teh, R Turner
Advances in Neural Information Processing Systems 36, 2024
82024
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
82021
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