Diederik P. Kingma
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Diederik P. Kingma is a machine learning researcher best known for co-developing the Adam optimization algorithm and the variational autoencoder (VAE) framework.
Referenced by (4)
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Jimmy Ba
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coAuthorWith |
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variational autoencoders
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introducedBy |
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Yee-Whye Teh
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variational autoencoders
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reparameterizationTrickIntroducedBy |