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A Mathematical Introduction to Generative Adversarial Nets (GAN)

A Mathematical Introduction to Generative Adversarial Nets (GAN)

1 September 2020
Yang Wang
    AI4CEGAN
ArXiv (abs)PDFHTML

Papers citing "A Mathematical Introduction to Generative Adversarial Nets (GAN)"

9 / 9 papers shown
Uniform Convergence of Deep Neural Networks with Lipschitz Continuous
  Activation Functions and Variable Widths
Uniform Convergence of Deep Neural Networks with Lipschitz Continuous Activation Functions and Variable WidthsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Yuesheng Xu
Haizhang Zhang
313
7
0
02 Jun 2023
Imitation Learning-based Implicit Semantic-aware Communication Networks:
  Multi-layer Representation and Collaborative Reasoning
Imitation Learning-based Implicit Semantic-aware Communication Networks: Multi-layer Representation and Collaborative ReasoningIEEE Journal on Selected Areas in Communications (JSAC), 2022
Yong Xiao
Zijian Sun
Guangming Shi
Dusit Niyato
304
51
0
28 Oct 2022
Convergence Analysis of Deep Residual Networks
Convergence Analysis of Deep Residual NetworksAnalysis and Applications (Anal. Appl.), 2022
Wentao Huang
Haizhang Zhang
170
2
0
13 May 2022
Convergence of Deep Neural Networks with General Activation Functions and Pooling
Wentao Huang
Yuesheng Xu
Haizhang Zhang
MLTAI4CE
206
0
0
13 May 2022
Training Generative Adversarial Networks with Adaptive Composite
  Gradient
Training Generative Adversarial Networks with Adaptive Composite GradientData Intelligence (DI), 2021
Huiqing Qi
Fang Li
Shengli Tan
Xiangyun Zhang
GAN
203
4
0
10 Nov 2021
Convergence of Deep Convolutional Neural Networks
Convergence of Deep Convolutional Neural Networks
Yuesheng Xu
Haizhang Zhang
MLT
210
56
0
28 Sep 2021
Convergence of Deep ReLU Networks
Convergence of Deep ReLU Networks
Yuesheng Xu
Haizhang Zhang
274
43
0
27 Jul 2021
Regularising Inverse Problems with Generative Machine Learning Models
Regularising Inverse Problems with Generative Machine Learning ModelsJournal of Mathematical Imaging and Vision (JMIV), 2021
Margaret Duff
Neill D. F. Campbell
Matthias Joachim Ehrhardt
GANMedIm
233
45
0
22 Jul 2021
A method for escaping limit cycles in training GANs
A method for escaping limit cycles in training GANs
Li Keke
Xinmin Yang
375
0
0
07 Oct 2020
1
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