Deep Generative Models and Applications
Type of publication: | Thesis |
Citation: | Chavdarova_THESIS_2020 |
Year: | 2020 |
Month: | July |
School: | EPFL |
URL: | https://infoscience.epfl.ch/re... |
DOI: | 10.5075/epfl-thesis-10257 |
Keywords: | Deep Generative Models , deep learning, Generative Adversarial Networks, Variance Reduced Gradient |
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Added by: | [UNK] |
Total mark: | 0 |
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