Samir Bhatt

Orcid: 0000-0002-0891-4611

According to our database1, Samir Bhatt authored at least 26 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Bayesian workflow for time-varying transmission in stratified compartmental infectious disease transmission models.
PLoS Comput. Biol., 2024

KidSat: satellite imagery to map childhood poverty dataset and benchmark.
CoRR, 2024

Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya.
Proceedings of the Epistemic Uncertainty in Artificial Intelligence, 2024

2023
Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases.
PLoS Comput. Biol., January, 2023

Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes.
Trans. Mach. Learn. Res., 2023

Estimating the epidemic reproduction number from temporally aggregated incidence data: A statistical modelling approach and software tool.
PLoS Comput. Biol., 2023

Estimating fine age structure and time trends in human contact patterns from coarse contact data: The Bayesian rate consistency model.
PLoS Comput. Biol., 2023

Continuous football player tracking from discrete broadcast data.
CoRR, 2023

Leaping through tree space: continuous phylogenetic inference for rooted and unrooted trees.
CoRR, 2023

A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models.
CoRR, 2023

Phylo2Vec: a vector representation for binary trees.
CoRR, 2023

Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
πVAE: a stochastic process prior for Bayesian deep learning with MCMC.
Stat. Comput., 2022

Seasonal variation in SARS-CoV-2 transmission in temperate climates: A Bayesian modelling study in 143 European regions.
PLoS Comput. Biol., 2022

The interaction of transmission intensity, mortality, and the economy: a retrospective analysis of the COVID-19 pandemic.
CoRR, 2022

2021
Using Hawkes Processes to model imported and local malaria cases in near-elimination settings.
PLoS Comput. Biol., 2021

Encoding spatiotemporal priors with VAEs for small-area estimation.
CoRR, 2021

Gaussian process nowcasting: application to COVID-19 mortality reporting.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020
Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach.
PLoS Comput. Biol., 2020

A unified machine learning approach to time series forecasting applied to demand at emergency departments.
CoRR, 2020

πVAE: Encoding stochastic process priors with variational autoencoders.
CoRR, 2020

2019
Spatial Analysis Made Easy with Linear Regression and Kernels.
CoRR, 2019

2018
Mapping local variation in educational attainment across Africa.
Nat., 2018

Stochastic Optimal Control of Epidemic Processes in Networks.
CoRR, 2018

2016
Faster Adaptation in Smaller Populations: Counterintuitive Evolution of HIV during Childhood Infection.
PLoS Comput. Biol., 2016

2013
The global distribution and burden of dengue.
Nat., 2013


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