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pro vyhledávání: '"Hengshi Yu"'
Autor:
Joshua D. Welch, Hengshi Yu
Publikováno v:
Genome Biology
Genome Biology, Vol 22, Iss 1, Pp 1-26 (2021)
Genome Biology, Vol 22, Iss 1, Pp 1-26 (2021)
Deep generative models such as variational autoencoders (VAEs) and generative adversarial networks (GANs) generate and manipulate high-dimensional images. We systematically assess the complementary strengths and weaknesses of these models on single-c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d3dd5d2093bbefa3693085e414e6f7c
Sampling from Disentangled Representations of Single-Cell Data Using Generative Adversarial Networks
Autor:
Hengshi Yu, Joshua D. Welch
Deep generative models, including variational autoencoders (VAEs) and generative adversarial networks (GANs), have achieved remarkable successes in generating and manipulating highdimensional images. VAEs excel at learning disentangled image represen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7849b741c6841187f93e7dd3a61e086
https://doi.org/10.1101/2021.01.15.426872
https://doi.org/10.1101/2021.01.15.426872