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ORCID"The deep arbitrary polynomial chaos neural network or how Deep Artificial ..."
Sergey Oladyshkin et al. (2023)
- Sergey Oladyshkin
, Timothy Praditia, Ilja Kröker, Farid Mohammadi, Wolfgang Nowak, Sebastian Otte:
The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory. Neural Networks 166: 85-104 (2023)
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last updated on 2023-09-30 10:23 CEST by the dblp team
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