Uncertain photometric redshifts via combining deep convolutional and mixture density networks

Antonio D'Isanto, Kai Lars Polsterer. Uncertain photometric redshifts via combining deep convolutional and mixture density networks. In 25th European Symposium on Artificial Neural Networks, ESANN 2017, Bruges, Belgium, April 26-28, 2017. 2017. [doi]

Authors

Antonio D'Isanto

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Kai Lars Polsterer

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