Seth Nabarro | DeepAI

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research

∙ 06/10/2021

Data augmentation in Bayesian neural networks and the cold posterior effect

Data augmentation is a highly effective approach for improving performan...

0 Seth Nabarro, et al. ∙

research

∙ 12/23/2020

Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19

Epidemiology models are central in understanding and controlling large s...

17 Sourabh Kulkarni, et al. ∙

research

∙ 06/28/2018

Spatiotemporal Prediction of Ambulance Demand using Gaussian Process Regression

Accurately predicting when and where ambulance call-outs occur can reduc...

0 Seth Nabarro, et al. ∙