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...
| Главные авторы: | , , |
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| Формат: | Conference item |
| Опубликовано: |
Neural Information Processing Systems Foundation, Inc
2016
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