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...
| Autores principales: | , , |
|---|---|
| Formato: | Conference item |
| Publicado: |
Neural Information Processing Systems Foundation, Inc
2016
|