Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe S Flaxman, S Mishra, A Gandy, HJT Unwin, TA Mellan, H Coupland, ...
Nature 584 (7820), 257-261, 2020
4255 * 2020 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
340 2021 Imperial College COVID-19 Response Team S Flaxman, S Mishra, A Gandy, HJT Unwin, TA Mellan, H Coupland, ...
Estimating the effects of non-pharmaceutical interventions on COVID-19 in …, 2020
311 2020 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, ...
140 2020 Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling S Mishra, JA Scott, DJ Laydon, S Flaxman, A Gandy, TA Mellan, ...
Scientific Reports 11 (1), 1-9, 2021
66 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, V Bradley, ...
MedRxiv, 2020.05. 05.20089359, 2020
48 2020 Inference of COVID-19 epidemiological distributions from Brazilian hospital data I Hawryluk, TA Mellan, H Hoeltgebaum, S Mishra, RP Schnekenberg, ...
Journal of the Royal Society Interface 17 (172), 20200596, 2020
39 2020 Imperial College COVID-19 Response Team, Ghani AC, Donnelly CA, Riley S, Vollmer MAC, Ferguson NM, Okell LC, Bhatt S (2020) Estimating the effects of non-pharmaceutical … S Flaxman, S Mishra, A Gandy, HJT Unwin, TA Mellan, H Coupland, ...
Nature 584 (7820), 257-261, 0
30 Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in European countries: technical description update. arXiv preprint arXiv … S Flaxman, S Mishra, A Gandy, HJT Unwin, H Coupland, TA Mellan, ...
Reference Source, 2020
26 2020 A COVID‐19 model for local authorities of the United Kingdom S Mishra, JA Scott, DJ Laydon, H Zhu, NM Ferguson, S Bhatt, S Flaxman, ...
Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2022
23 2022 Subnational analysis of the COVID-19 epidemic in Brazil TA Mellan, HH Hoeltgebaum, S Mishra, C Whittaker, RP Schnekenberg, ...
MedRxiv, 2020.05. 09.20096701, 2020
20 2020 A sub-national analysis of the rate of transmission of COVID-19 in Italy MAC Vollmer, S Mishra, HJT Unwin, A Gandy, TA Mellan, V Bradley, ...
20 2020 Markovian Gaussian process variational autoencoders H Zhu, C Balsells-Rodas, Y Li
International Conference on Machine Learning, 42938-42961, 2023
17 2023 Grassmann Stein Variational Gradient Descent X Liu, H Zhu, JF Ton, G Wynne, A Duncan
AISTATS 2022, 2022
15 2022 Convolutional neural processes for inpainting satellite images A Pondaven, M Bakler, D Guo, H Hashim, M Ignatov, H Zhu
arXiv preprint arXiv:2205.12407, 2022
10 2022 Imperial College C-RT, Ghani AC, Donnelly CA, Riley SM, Vollmer MAC, Ferguson NM, Okell LC, Bhatt S. Estimating the effects of non-pharmaceutical interventions on COVID-19 in … S Flaxman, S Mishra, A Gandy, HJT Unwin, TA Mellan, H Coupland, ...
Nature 584 (7820), 257-61, 2020
7 2020 Bayesian Probabilistic Numerical Integration with Tree-Based Models H Zhu, X Liu, R Kang, Z Shen, S Flaxman, FX Briol
Advances in Neural Information Processing Systems, NeurIPS, 2020, 2020
6 2020 VAE: a stochastic process prior for Bayesian deep learning with MCMCS Mishra, S Flaxman, T Berah, H Zhu, M Pakkanen, S Bhatt
Statistics and Computing 32 (6), 96, 2022
5 2022 Aggregated Gaussian processes with multiresolution Earth observation covariates H Zhu, A Howes, O van Eer, M Rischard, Y Li, D Sejdinovic, S Flaxman
arXiv preprint arXiv:2105.01460, 2021
5 2021