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Information-Based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning
This paper describes a new image generation algorithm based on generative adversarial network. With an information-theoretic extension to the autoencoder-based discriminator, this new algorithm is able to learn interpretable representations from the input images. Our model not only adversarially min...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207896/ https://www.ncbi.nlm.nih.gov/pubmed/30416519 http://dx.doi.org/10.1155/2018/6465949 |