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 |
| Projects: |
Idiap |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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