Dataset Groups Activity Stream 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. BibTex: @dataset{Yannic_Kilcher_and_Aur´elien_Lucchi_and_Thomas_Hofmann_2024, abstract = {The dataset induced prior distribution is learned using a secondary GAN named PGAN. This prior is then used to further train the original GAN.}, author = {Yannic Kilcher and Aur´elien Lucchi and Thomas Hofmann}, doi = {10.57702/dwqh8vhv}, institution = {No Organization}, keyword = {'GANs', 'Generative Adversarial Networks', 'Variational Autoencoders'}, month = {dec}, publisher = {TIB}, title = {Flexible Prior Distributions for Deep Generative Models}, url = {https://service.tib.eu/ldmservice/dataset/flexible-prior-distributions-for-deep-generative-models}, year = {2024} }
