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Encoding spatiotemporal priors with VAEs for small-area estimation


Oct 20, 2021
Elizaveta Semenova, Yidan Xu, Adam Howes, Theo Rashid, Samir Bhatt, Swapnil Mishra, Seth Flaxman


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Gaussian Process Nowcasting: Application to COVID-19 Mortality Reporting


Feb 22, 2021
Iwona Hawryluk, Henrique Hoeltgebaum, Swapnil Mishra, Xenia Miscouridou, Ricardo P Schnekenberg, Charles Whittaker, Michaela Vollmer, Seth Flaxman, Samir Bhatt, Thomas A Mellan

* 27 pages, 25 figures 

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Simulating normalising constants with referenced thermodynamic integration: application to COVID-19 model selection


Sep 10, 2020
Iwona Hawryluk, Swapnil Mishra, Seth Flaxman, Samir Bhatt, Thomas A. Mellan

* 27 pages, 8 figures, 3 tables 

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A unified machine learning approach to time series forecasting applied to demand at emergency departments


Jul 13, 2020
Michaela A. C. Vollmer, Ben Glampson, Thomas A. Mellan, Swapnil Mishra, Luca Mercuri, Ceire Costello, Robert Klaber, Graham Cooke, Seth Flaxman, Samir Bhatt


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$Ο€$VAE: Encoding stochastic process priors with variational autoencoders


Feb 17, 2020
Swapnil Mishra, Seth Flaxman, Samir Bhatt


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Spatial Analysis Made Easy with Linear Regression and Kernels


Feb 22, 2019
Philip Milton, Emanuele Giorgi, Samir Bhatt


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Stochastic Optimal Control of Epidemic Processes in Networks


Oct 30, 2018
Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez


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Spatial Mapping with Gaussian Processes and Nonstationary Fourier Features


Nov 15, 2017
Jean-Francois Ton, Seth Flaxman, Dino Sejdinovic, Samir Bhatt

* under submission to Spatial Statistics Journal 

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Improved prediction accuracy for disease risk mapping using Gaussian Process stacked generalisation


Dec 10, 2016
Samir Bhatt, Ewan Cameron, Seth R Flaxman, Daniel J Weiss, David L Smith, Peter W Gething

* Under Submission 

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