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Theoretical limitations of Encoder-Decoder GAN architectures

Theoretical limitations of Encoder-Decoder GAN architectures

7 November 2017
Sanjeev Arora
Andrej Risteski
Yi Zhang
    GAN
    AI4CE
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Papers citing "Theoretical limitations of Encoder-Decoder GAN architectures"

4 / 4 papers shown
Title
Plausible Counterfactuals: Auditing Deep Learning Classifiers with
  Realistic Adversarial Examples
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples
Alejandro Barredo Arrieta
Javier Del Ser
AAML
15
22
0
25 Mar 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
33
821
0
20 Jan 2020
Interaction Matters: A Note on Non-asymptotic Local Convergence of
  Generative Adversarial Networks
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks
Tengyuan Liang
J. Stokes
32
211
0
16 Feb 2018
How Well Can Generative Adversarial Networks Learn Densities: A
  Nonparametric View
How Well Can Generative Adversarial Networks Learn Densities: A Nonparametric View
Tengyuan Liang
GAN
27
37
0
21 Dec 2017
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