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Data Generation with Variational Autoencoders and Generative Adversarial Networks

The paper considers the problem of modelling the distribution of data with noise in the input data. In this paper, we consider encoders and decoders, which solve the problem of modelling data distribution. The improvement of variational autoencoders (VAEs) is discussed. Practical implementation is p...

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Bibliografische gegevens
Hoofdauteurs: Daniil Devyatkin, Ivan Trenev
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2023-06-01
Reeks:Engineering Proceedings
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Online toegang:https://www.mdpi.com/2673-4591/33/1/37
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