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Density estimation using deep generative neural networks
Density estimation is one of the fundamental problems in both statistics and machine learning. In this study, we propose Roundtrip, a computational framework for general-purpose density estimation based on deep generative neural networks. Roundtrip retains the generative power of deep generative mod...
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| Publié dans: | Proc Natl Acad Sci U S A |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
National Academy of Sciences
2021
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8054014/ https://ncbi.nlm.nih.gov/pubmed/33833061 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.2101344118 |
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