112 citations · 259 across the 6 of their papers we have counts for
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cs.LG2019★ 59 cited
Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout
Isidro Cortes-Ciriano, Andreas Bender
While the use of deep learning in drug discovery is gaining increasing attention, the lack of methods to compute reliable errors in prediction for Neural Networks prevents their ap…
cs.LG2018★ 112 cited
Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Errors for Deep Neural Networks
Isidro Cortes-Ciriano, Andreas Bender
Deep learning architectures have proved versatile in a number of drug discovery applications, including the modelling of in vitro compound activity. While controlling for predictio…