Flexible Prior Distributions for Deep Generative Models

doi:doi:10.57702/dwqh8vhv

Flexible Prior Distributions for Deep Generative Models

The dataset induced prior distribution is learned using a secondary GAN named PGAN. This prior is then used to further train the original GAN.

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Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
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Cite this as

Yannic Kilcher, Aur´elien Lucchi, Thomas Hofmann (2024). Dataset: Flexible Prior Distributions for Deep Generative Models. https://doi.org/10.57702/dwqh8vhv

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.1710.11383
Author	Yannic Kilcher
More Authors	Aur´elien Lucchi Thomas Hofmann