70 citations · 369 across the 48 of their papers we have counts for
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cs.LG2021★ 2 cited
Conditionally Gaussian PAC-Bayes
Eugenio Clerico, George Deligiannidis, Arnaud Doucet
Recent studies have empirically investigated different methods to train stochastic neural networks on a classification task by optimising a PAC-Bayesian bound via stochastic gradie…
cs.LG2020
Stable ResNet
Soufiane Hayou, Eugenio Clerico, Bobby He +3
Deep ResNet architectures have achieved state of the art performance on many tasks. While they solve the problem of gradient vanishing, they might suffer from gradient exploding as…