DISCO Nets: DISsimilarity COefficient Networks

We present a new type of probabilistic model which we call DISsimilarity COefficient Networks (DISCO Nets). DISCO Nets allow us to efficiently sample from a posterior distribution parametrised by a neural network. During training, DISCO Nets are learned by minimising the dissimilarity coefficient be...

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מידע ביבליוגרפי
Main Authors: Bouchacourt, D, Nowozin, S, Mudigonda, P
פורמט: Conference item
יצא לאור: Neural Information Processing Systems Foundation, Inc 2016