Swapnil Mishra | DeepAI

AI Chat

Featured Co-authors

Stefan Feuerriegel
60 publications
Marian-Andrei Rizoiu
37 publications
Seth Flaxman
37 publications
Lexing Xie
33 publications
Samir Bhatt
25 publications
Axel Gandy
20 publications
Young Lee
10 publications
Mikko S. Pakkanen
10 publications
Oliver Ratmann
9 publications
Xenia Miscouridou
7 publications
George Mohler
7 publications

∙ 05/31/2023

Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya

Model-based disease mapping remains a fundamental policy-informing tool ...

0 Elizaveta Semenova, et al. ∙

∙ 05/01/2023

A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models

Short-term forecasts of infectious disease spread are a critical compone...

0 Nicolas Banholzer, et al. ∙

∙ 10/31/2022

The interaction of transmission intensity, mortality, and the economy: a retrospective analysis of the COVID-19 pandemic

The COVID-19 pandemic has caused over 6.4 million registered deaths to d...

0 Christian Morgenstern, et al. ∙

∙ 10/25/2022

The uncertainty of infectious disease outbreaks is underestimated

Uncertainty can be classified as either aleatoric (intrinsic randomness)...

0 Matthew J. Penn, et al. ∙

∙ 10/21/2022

Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes

Hawkes processes are point process models that have been used to capture...

0 Xenia Miscouridou, et al. ∙

∙ 10/24/2021

Epidemia: An R Package for Semi-Mechanistic Bayesian Modelling of Infectious Diseases using Point Processes

This article introduces epidemia, an R package for Bayesian, regression-...

0 James A. Scott, et al. ∙

∙ 10/20/2021

Encoding spatiotemporal priors with VAEs for small-area estimation

Gaussian processes (GPs), implemented through multivariate Gaussian dist...

0 Elizaveta Semenova, et al. ∙

∙ 07/12/2021

Unifying the effective reproduction number, incidence, and prevalence under a stochastic age-dependent branching process

Renewal equations are a popular approach used in modelling the number of...

0 Tresnia Berah, et al. ∙

∙ 02/22/2021

Gaussian Process Nowcasting: Application to COVID-19 Mortality Reporting

Updating observations of a signal due to the delays in the measurement p...

16 Iwona Hawryluk, et al. ∙

∙ 12/01/2020

Semi-Mechanistic Bayesian Modeling of COVID-19 with Renewal Processes

We propose a general Bayesian approach to modeling epidemics such as COV...

0 Samir Bhatt, et al. ∙

∙ 09/08/2020

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

Model selection is a fundamental part of Bayesian statistical inference;...

19 Iwona Hawryluk, et al. ∙

∙ 07/13/2020

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

There were 25.6 million attendances at Emergency Departments (EDs) in En...

198 Michaela A C Vollmer, et al. ∙

∙ 06/30/2020

On the derivation of the renewal equation from an age-dependent branching process: an epidemic modelling perspective

Renewal processes are a popular approach used in modelling infectious di...

0 Swapnil Mishra, et al. ∙

∙ 04/23/2020

Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in European countries: technical description update

Following the emergence of a novel coronavirus (SARS-CoV-2) and its spre...

0 Seth Flaxman, et al. ∙

∙ 02/17/2020

πVAE: Encoding stochastic process priors with variational autoencoders

Stochastic processes provide a mathematically elegant way model complex ...

8 Swapnil Mishra, et al. ∙

∙ 04/06/2018

Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks

Understanding and predicting the popularity of online items is an import...

0 Swapnil Mishra, et al. ∙

∙ 08/21/2017

A Tutorial on Hawkes Processes for Events in Social Media

This chapter provides an accessible introduction for point processes, an...

0 Marian-Andrei Rizoiu, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world