Publications

Geometric Neural Diffusion Processes

Emile Mathieu*, Vincent Dutordoir*, Michael John Hutchinson*, Valentin De Bortoli, Yee Whye Teh, Richard E Turner (2023)
Under review at Neurips 2023.
PDF Code

Metropolis Sampling for Constrained Diffusion Models

Nic Fishman*, Leo Klarner*, Emile Mathieu, Michael Hutchinson, Valentin De Bortoli (2023)
Under review at Neurips 2023, code available at request until publication..
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Diffusion Models for Constrained Domains

Nic Fishman*, Leo Klarner*, Valentin De Bortoli, Emile Mathieu, Michael Hutchinson (2023)
TMLR 2023, code available at request..
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Riemannian Score-Based Generative Modelling

Valentin De Bortoli*, Émile Mathieu*, Michael Hutchinson*, James Thornton, Yee Whye Teh, Arnaud Doucet (2022)
Outstanding Paper Award, Neurips 2022.
PDF Code Poster Talk

Spectral Diffusion Processes

Angus Phillis*, Thomas Seror, Michael Hutchinson, Valentin De Bortoli, James Thornton, Arnaud Doucet, Émile Mathieu (2022)
Workshop on score-based methods, Neurips 2022.
PDF Poster

Riemannian Diffusion Schrödinger Bridge

James Thornton, Michael Hutchinson, Émile Mathieu, Valentin De Bortoli, Yee Whye Teh, Arnaud Doucet (2022)
Workshop on continuous time methods in machine learning, ICML 2022.
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Federeated Functional Variational Inference

Michael Hutchinson, Matthias Reisser, Christos Louizos (2021)
Workshop on Bayesian Deep Learning, Neurips 2021.
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Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Equivariant Projected Kernels

Michael Hutchinson*, Alexander Terenin*, Viacheslav Borovitskiy*, So Takao, Yee Whye Teh, Marc Peter Deisenroth (2021)
Neurips 2021.
PDF Code Poster Slides Talk

Efficient Bayesian Inference of Instantaneous Re-production Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid-19 Epidemic in British Local Authorities

Yee Whye Teh, Avishkar Bhoopchand*, Peter Diggle*, Bryn Elesedy*, Bobby He*, Michael Hutchinson*, Ulrich Paquet*, Jonathan Read*, Nenad Tomasev*, Sheheryar Zaidi* (2021)
RSS Special topic meeting on R, local R and transmission of Covid-19.
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LieTransformer: Equivariant self-attention for Lie Groups

Michael Hutchinson*, Charline Le Lan*, Sheheryar Zaidi*, Emilien Dupont, Yee Whye Teh, Hyunjik Kim (2020)
ICML 2021.
PDF Code Poster Slides Talk

Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes

Peter Holderrieth*, Michael Hutchinson*, Yee Whye Teh (2020)
ICML 2021.
PDF Code Poster Slides Talk

Age groups that sustain resurging COVID-19 epidemics in the United States

Mélodie Monod, Alexandra Blenkinsop, Xiaoyue Xi, Daniel Hebert, Sivan Bershan, Valerie C Bradley, Yu Chen, Helen Coupland, Sarah Filippi, Jonathan Ish-Horowicz, Martin McManus, Thomas A Mellan, Axel Gandy, Michael Hutchinson, H Juliette T Unwin, Michaela A. C. Vollmer, Sebastian Weber, Harrison Zhu, Anne Bezancon, Simon Tietze, Neil M Ferguson, Swapnil Mishra, Seth Flaxman, Samir Bhatt, Oliver Ratmann, (2020)
Science.
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Technical Document 3: Effectiveness and Resource Requirements of Test, Trace and Isolate Strategies

Bobby He*, Sheheryar Zaidi*, Bryn Elesedy*, Michael Hutchinson*, Andrei Paleyes, Guy Harling, Anne Johnson, Yee Whye Teh (2020)
Royal Society DELVE report on Contact Tracing in the UK for SAGE.
PDF Code Project

State-level tracking of COVID-19 in the United States

H Juliette T Unwin, Swapnil Mishra, Valerie C Bradley, Axel Gandy, Michaela A C Vollmer, Thomas Mellan, Helen Coupland, Kylie Ainslie, Charlie Whittaker, Jonathan Ish Horowicz, Sarah Filippi, Xiaoyue Xi, Melodie Monod, Oliver Ratmann, Michael Hutchinson, others (truncated for brevity) (2020)
Nature communications, Imperial College COVID-19 report.
PDF Code Project

Report 21: Estimating COVID-19 cases and reproduction number in Brazil

Thomas A Mellan, Henrique H Hoeltgebaum, Swapnil Mishra, Charlie Whittaker, Ricardo P Schnekenberg, Axel Gandy, H Juliette T Unwin, Michaela A C Vollmer, Helen Coupland, Iwona Hawryluk, Nuno Rodrigues Faria, Juan Vesga, Harrison Zhu, Michael Hutchinson, others (truncated for brevity) (2020)
medRxiv, Imperial College COVID-19 report.
PDF Code Project

A sub-national analysis of the rate of transmission of Covid-19 in Italy

M Vollmer, S Mishra, H Unwin, A Gandy, T Melan, V Bradley, H Zhu, H Coupland, I Hawryluk, Michael Hutchinson, others (truncated for brevity) (2020)
medArxiv, Imperial College COVID-19 report.
PDF Code Project

Differentially Private Federated Variational Inference

Mrinank Sharma*, Michael Hutchinson*, Siddharth Swaroop, Antti Honkela, Richard E Turner (2019)
PriML Workshop, NeurIPS 2019.
PDF Code Project Poster