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 | 4274* | 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 | 352 | 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 | 312 | 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 | 190 | 2020 |
Report 21: Estimating COVID-19 cases and reproduction number in Brazil TA Mellan, HH Hoeltgebaum, S Mishra, C Whittaker, RP Schnekenberg, ... | 145 | 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 | 65 | 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 | 28 | |
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 185 …, 2022 | 23 | 2022 |
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, ... | 22 | 2020 |
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 | 21 | 2020 |
Markovian Gaussian process variational autoencoders H Zhu, C Balsells-Rodas, Y Li International Conference on Machine Learning, 42938-42961, 2023 | 16 | 2023 |
Grassmann Stein Variational Gradient Descent X Liu, H Zhu, JF Ton, G Wynne, A Duncan AISTATS 2022, 2022 | 16 | 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 |
Imperial College, C.-RT 2020. 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 10, 0 | 5 | |
VAE: a stochastic process prior for Bayesian deep learning with MCMC S Mishra, S Flaxman, T Berah, H Zhu, M Pakkanen, S Bhatt Statistics and Computing 32 (6), 96, 2022 | 4 | 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 | 4 | 2021 |