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Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse
  Problems

Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems

17 September 2023
Huayu Wang
Chen Luo
Taofeng Xie
Qiyu Jin
Guoqing Chen
Zhuoxu Cui
Dong Liang
    AAML
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Papers citing "Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems"

3 / 3 papers shown
Title
Provably Convergent Data-Driven Convex-Nonconvex Regularization
Provably Convergent Data-Driven Convex-Nonconvex Regularization
Zakhar Shumaylov
Jeremy Budd
Subhadip Mukherjee
Carola-Bibiane Schönlieb
30
5
0
09 Oct 2023
Matrix Completion-Informed Deep Unfolded Equilibrium Models for
  Self-Supervised k-Space Interpolation in MRI
Matrix Completion-Informed Deep Unfolded Equilibrium Models for Self-Supervised k-Space Interpolation in MRI
Chen Luo
Huayu Wang
Taofeng Xie
Qiyu Jin
Guoqing Chen
Zhuoxu Cui
Dong Liang
16
1
0
24 Sep 2023
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
169
596
0
22 Sep 2016
1