Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection

11 October 2021

Papers citing "Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection"

21 / 21 papers shown

Title
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Lanlan Feng Ce Zhu Yipeng Liu Saiprasad Ravishankar Longxiu Huang 37 0 0 20 Jan 2025
Structured Sampling for Robust Euclidean Distance Geometry Chandra Kundu Abiy Tasissa HanQin Cai 84 0 0 14 Dec 2024
Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery Paris Giampouras HanQin Cai René Vidal 22 3 0 22 Oct 2024
Specularity Factorization for Low-Light Enhancement A. S. Baslamisli Noah Snavely. Intrinsic 34 3 0 02 Apr 2024
Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures Peimeng Guan Naveed Iqbal Mark A. Davenport Mudassir Masood 25 2 0 07 Mar 2024
On the Robustness of Cross-Concentrated Sampling for Matrix Completion HanQin Cai Longxiu Huang Chandra Kundu Bowen Su 19 4 0 28 Jan 2024
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning Han Guo P. Greengard Eric P. Xing Yoon Kim MQ 20 43 0 20 Nov 2023
RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection Fengyi Wu Tianfang Zhang Lei Li Yian Huang Zhenming Peng 19 21 0 02 Nov 2023
Deep Unrolling for Nonconvex Robust Principal Component Analysis E. C. Tan C. Chaux Emmanuel Soubies Vincent Y. F. Tan 24 3 0 12 Jul 2023
Towards Constituting Mathematical Structures for Learning to Optimize Jialin Liu Xiaohan Chen Zhangyang Wang W. Yin HanQin Cai 14 11 0 29 May 2023
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption HanQin Cai Zehan Chao Longxiu Huang Deanna Needell 29 11 0 06 May 2023
Deep Unfolded Tensor Robust PCA with Self-supervised Learning Harry Dong Megna Shah S. Donegan Yuejie Chi SSL 10 6 0 21 Dec 2022
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing Tianfang Zhang Lei Li Christian Igel Stefan Oehmcke Fabian Gieseke Zhenming Peng BDL 8 10 0 18 Dec 2022
A Deep-Unfolded Spatiotemporal RPCA Network For L+S Decomposition Shoaib Imran Muhammad Ahmad Tahir Zubair Khalid M. Uppal 9 0 0 06 Nov 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 13 4 0 26 Sep 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 22 293 0 19 Jun 2022
Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent Harry Dong Tian Tong Cong Ma Yuejie Chi 15 12 0 18 Jun 2022
Riemannian CUR Decompositions for Robust Principal Component Analysis Keaton Hamm Mohamed Meskini HanQin Cai 21 9 0 17 Jun 2022
Working memory inspired hierarchical video decomposition with transformative representations Binjie Qin Haohao Mao Ruipeng Zhang Y. Zhu Song Ding Xu Chen 12 1 0 21 Apr 2022
Hyperparameter Tuning is All You Need for LISTA Xiaohan Chen Jialin Liu Zhangyang Wang W. Yin ODL 11 23 0 29 Oct 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 23 183 0 23 Mar 2021