May 27, 2021 · This paper studies how well generative adversarial networks (GANs) learn probability distributions from finite samples.
This paper studies how well generative adversarial networks (GANs) learn probability distributions from finite samples.
This paper studies how well generative adversarial networks (GANs) learn probability dis- tributions from finite samples. Our main results establish the ...
An error analysis of generative adversarial networks for learning distributions · Jian Huang, Yuling Jiao, +3 authors. Yunfei Yang · Published in Journal of ...
This paper studies how well generative adversarial networks (GANs) learn probability distributions from finite samples. Our main results establish the ...
This paper studies how well generative adversarial networks (GANs) learn probability dis-tributions from finite samples. Our main results establish the ...
This paper studies how well generative adversarial networks (GANs) learn probability dis- tributions from finite samples. Our main results establish the ...
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Oct 23, 2023 · In this research, we focus on studying the error convergence rate of the GAN model that is based on a class of functions encompassing the discriminator and ...
Oct 16, 2024 · PDF | On Oct 23, 2023, Mahmud Hasan and others published Error analysis of generative adversarial network | Find, read and cite all the ...
This paper studies how well generative adversarial networks (GANs) learn probability distributions from finite samples. Paper