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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-72593-4
Abstract: Deep neural networks are good at extracting low-dimensional subspaces (latent spaces) that represent the essential features inside a high-dimensional dataset. Deep generative models represented by variational autoencoders (VAEs) can generate and infer high-quality datasets, such…
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Keywords:
repeated inference;
cluster structure;
dynamics repeated;
cluster ... See more keywords