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02/07/2022
Dependence model assessment and selection with DecoupleNets
Neural networks are suggested for learning a map from d-dimensional samp...
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12/02/2021
RafterNet: Probabilistic predictions in multi-response regression
A fully nonparametric approach for making probabilistic predictions in m...
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12/15/2020
Applications of multivariate quasi-random sampling with neural networks
Generative moment matching networks (GMMNs) are suggested for modeling t...
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02/25/2020
Multivariate time-series modeling with generative neural networks
Generative moment matching networks (GMMNs) are introduced as dependence...
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11/01/2018
Quasi-random number generators for multivariate distributions based on generative neural networks
Generative moment matching networks are introduced as quasi-random numbe...
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01/11/2018
