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Improving Multi-Agent Generative Adversarial Nets with Variational Latent Representation
Generative adversarial networks (GANs), which are a promising type of deep generative network, have recently drawn considerable attention and made impressive progress. However, GAN models suffer from the well-known problem of mode collapse. This study focuses on this challenge and introduces a new m...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597127/ https://www.ncbi.nlm.nih.gov/pubmed/33286824 http://dx.doi.org/10.3390/e22091055 |