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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...
Autores principales: | Liu, Qiao, Xu, Jiaze, Jiang, Rui, Wong, Wing Hung |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054014/ https://www.ncbi.nlm.nih.gov/pubmed/33833061 http://dx.doi.org/10.1073/pnas.2101344118 |
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