Author

Hayk Amirkhanian

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Probabilistic Regression via Neural Network Ensembles

DENSE is an ensemble of multi layer perceptrons (MLPs) that is trained to minimize a modified Cram´er–von Mises distance in the joint space of inputs and outputs that enables non-parametric representations of arbitrary densities without (complex) likelihood design.

Leon Winheim, Hayk Amirkhanian, MarkusWalker et al. · 0 citations