346 citations · 1.1k across the 15 of their papers we have counts for
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stat.ML2017★ 29 cited
Variational Gaussian Dropout is not Bayesian
Jiri Hron, Alexander G. de G. Matthews, Zoubin Ghahramani
Gaussian multiplicative noise is commonly used as a stochastic regularisation technique in training of deterministic neural networks. A recent paper reinterpreted the technique as…
stat.ML2017★ 121 cited
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks
John Bradshaw, Alexander G. de G. Matthews, Zoubin Ghahramani
Deep neural networks (DNNs) have excellent representative power and are state of the art classifiers on many tasks. However, they often do not capture their own uncertainties well…