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A Validation Approach to Over-parameterized Matrix and Image Recovery

A Validation Approach to Over-parameterized Matrix and Image Recovery

21 September 2022
Lijun Ding
Zhen Qin
Liwei Jiang
Jinxin Zhou
Zhihui Zhu
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Papers citing "A Validation Approach to Over-parameterized Matrix and Image Recovery"

7 / 7 papers shown
Title
Robust Low-rank Tensor Train Recovery
Robust Low-rank Tensor Train Recovery
Zhen Qin
Zhihui Zhu
35
1
0
19 Oct 2024
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery
Zhen Qin
M. Wakin
Zhihui Zhu
35
5
0
05 Jan 2024
Asymmetric matrix sensing by gradient descent with small random
  initialization
Asymmetric matrix sensing by gradient descent with small random initialization
J. S. Wind
28
1
0
04 Sep 2023
Fast and Accurate Estimation of Low-Rank Matrices from Noisy
  Measurements via Preconditioned Non-Convex Gradient Descent
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent
Jialun Zhang
Hong-Ming Chiu
Richard Y. Zhang
12
5
0
26 May 2023
Image Reconstruction via Deep Image Prior Subspaces
Image Reconstruction via Deep Image Prior Subspaces
Riccardo Barbano
Javier Antorán
Johannes Leuschner
José Miguel Hernández-Lobato
Bangti Jin
vZeljko Kereta
21
1
0
20 Feb 2023
Early Stopping for Deep Image Prior
Early Stopping for Deep Image Prior
Hengkang Wang
Taihui Li
Zhong Zhuang
Tiancong Chen
Hengyue Liang
Ju Sun
8
61
0
11 Dec 2021
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact
  Recovery
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery
Lijun Ding
Liwei Jiang
Yudong Chen
Qing Qu
Zhihui Zhu
18
28
0
23 Sep 2021
1