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- W3195982009 abstract "Variational autoencoders (VAEs), proposed by Kingma and Welling in 2013, allow us to design complex generative models of data, which can then be trained to generate fictional images such as celebrity faces and high-resolution digital artworks." @default.
- W3195982009 created "2021-08-30" @default.
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- W3195982009 date "2021-01-01" @default.
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- W3195982009 title "Unsupervised Learning: Deep Generative Model" @default.
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- W3195982009 doi "https://doi.org/10.1007/978-981-16-2233-5_9" @default.
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