Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder

We present a coupled variational autoencoder (VAE) method, which improves the accuracy and robustness of the model representation of handwritten numeral images. The improvement is measured in both increasing the likelihood of the reconstructed images and in reducing divergence between the posterior...

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Detalles Bibliográficos
Autores principales: Cao, Shichen, Li, Jingjing, Nelson, Kenric P., Kon, Mark A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947750/
https://www.ncbi.nlm.nih.gov/pubmed/35327933
http://dx.doi.org/10.3390/e24030423

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947750/
https://www.ncbi.nlm.nih.gov/pubmed/35327933
http://dx.doi.org/10.3390/e24030423

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