9 citations · 16 across the 5 of their papers we have counts for
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stat.ML2021★ 5 cited
Data augmentation in Bayesian neural networks and the cold posterior effect
Seth Nabarro, Stoil Ganev, Adrià Garriga-Alonso +3
Bayesian neural networks that incorporate data augmentation implicitly use a ``randomly perturbed log-likelihood [which] does not have a clean interpretation as a valid likelihood…
stat.ML2018★ 2 cited
Spatiotemporal Prediction of Ambulance Demand using Gaussian Process Regression
Seth Nabarro, Tristan Fletcher, John Shawe-Taylor
Accurately predicting when and where ambulance call-outs occur can reduce response times and ensure the patient receives urgent care sooner. Here we present a novel method for ambu…