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THE SUCCESS OF DEEP GENERATIVE MODELS
<!--HTML--><p>Deep generative models allow us to learn hidden representations of data and generate new examples. There are two major families of models that are exploited in current applications: Generative Adversarial Networks (GANs), and Variational Auto-Encoders (VAE). The principle o...
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| Lenguaje: | eng |
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2018
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| Acceso en línea: | http://cds.cern.ch/record/2628487 |