Variational Generative Adversarial Networks for Preventing Mode Collapse

Variational Generative Adversarial Networks for Preventing Mode Collapse

Generative models try to obtain a probability distribution that is similar to that of observed data. Two different solutions have been proposed in this regard in recent years: one is to minimize the divergence (distance) between the two distributions by maximizing the variational lower bound, and th...

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Bibliographic Details
Main Authors:	Mehdi Jamaseb Khollari, Vali Derhami, Mehdi Yazdian Dehkordi
Format:	Article
Language:	English
Published:	University of Isfahan 2022-09-01
Series:	هوش محاسباتی در مهندسی برق
Subjects:	deep learning generative adversarial networks machine learning variational inference mode collapse
Online Access:	https://isee.ui.ac.ir/article_25991_b8906ef6b1cc31f72aaa23f70e774769.pdf

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