A Deep Learning Approach to Structured Signal Recovery

17 August 2015

Richard G. Baraniuk

Papers citing "A Deep Learning Approach to Structured Signal Recovery"

50 / 108 papers shown

Title
Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models Yang Zheng Wen Li Zhaoqiang Liu 77 0 0 27 May 2025
WTDUN: Wavelet Tree-Structured Sampling and Deep Unfolding Network for Image Compressed Sensing Kai Han Jin Wang Yunhui Shi Hanqin Cai Nam Ling Baocai Yin 96 0 0 25 Nov 2024
Compressed Sensor Caching and Collaborative Sparse Data Recovery with Anchor Alignment Yi-Jen Yang Ming-Hsun Yang Jwo-Yuh Wu Y.-W. Peter Hong 61 0 0 14 Jun 2024
Invertible Diffusion Models for Compressed Sensing Bin Chen Zhenyu Zhang Weiqi Li Chen Zhao Jiwen Yu Shijie Zhao Jie Chen Jian Zhang DiffM 118 5 0 25 Mar 2024
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning Keying Kuang Frances Dean Jack B. Jedlicki David Ouyang Anthony Philippakis David Sontag Ahmed M. Alaa SyDa PINN 82 2 0 29 Feb 2024
Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling Wenxue Cui Xingtao Wang Xiaopeng Fan Shaohui Liu Xinwei Gao Debin Zhao 67 2 0 29 Feb 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 74 0 0 19 Feb 2024
Deep Unfolding Network for Image Compressed Sensing by Content-adaptive Gradient Updating and Deformation-invariant Non-local Modeling Wenxue Cui Xiaopeng Fan Jian Zhang Debin Zhao 130 10 0 16 Oct 2023
Self-Supervised Scalable Deep Compressed Sensing Bin Chen Xuanyu Zhang Shuai Liu Yongbing Zhang Jian Zhang 71 5 0 26 Aug 2023
Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction Miaoyu Li Ying Fu Ji Liu Yulun Zhang 73 38 0 21 Aug 2023
Deep Physics-Guided Unrolling Generalization for Compressed Sensing Bin Chen Jie Song Jingfen Xie Jian Zhang AI4CE 102 15 0 18 Jul 2023
Recursions Are All You Need: Towards Efficient Deep Unfolding Networks Rawwad Alhejaili M. Alfarraj H. Luqman A. Al-Shaikhi BDL 94 2 0 09 May 2023
NL-CS Net: Deep Learning with Non-Local Prior for Image Compressive Sensing Shuai Bian Shouliang Qi Chen Li Yudong Yao Yueyang Teng 68 1 0 06 May 2023
A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing Yu Zhou Yu Chen X. Zhang Pan Lai Lei Huang Jianmin Jiang 56 4 0 23 Apr 2023
Generative Joint Source-Channel Coding for Semantic Image Transmission Ece Naz Erdemir Tze-Yang Tung Pier Luigi Dragotti Deniz Gunduz GAN 103 85 0 24 Nov 2022
JSRNN: Joint Sampling and Reconstruction Neural Networks for High Quality Image Compressed Sensing Chunyan Zeng Jiaxiang Ye Zhifeng Wang Nan Zhao Minghu Wu AI4TS 48 2 0 11 Nov 2022
Image Compressed Sensing with Multi-scale Dilated Convolutional Neural Network Zhifeng Wang Zhenghui Wang Chunyan Zeng Yan Yu Xiangkui Wan 100 1 0 28 Sep 2022
Uformer-ICS: A U-Shaped Transformer for Image Compressive Sensing Service Kuiyuan Zhang Zhongyun Hua Yuanman Li Yushu Zhang Yicong Zhou 33 4 0 05 Sep 2022
D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing Weiqi Li Bin Chen Shuai Liu Shijie Zhao Bowen Du Yongbing Zhang Jian Zhang 129 11 0 27 Jul 2022
Content-aware Scalable Deep Compressed Sensing Bin Chen Jian Zhang 65 58 0 19 Jul 2022
Single-Pixel Image Reconstruction Based on Block Compressive Sensing and Deep Learning Stephen L. H. Lau Edwin K. P. Chong 23 0 0 14 Jul 2022
Global Sensing and Measurements Reuse for Image Compressed Sensing Zichen Fan Fengzong Lian Jianning Quan 77 19 0 23 Jun 2022
JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging Brayan Monroy Jorge Bacca Henry Arguello SupR 63 11 0 16 May 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware Holger Boche Adalbert Fono Gitta Kutyniok 99 25 0 28 Feb 2022
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks Ekkehard Schnoor Arash Behboodi Holger Rauhut 53 14 0 08 Dec 2021
Image Compressed Sensing Using Non-local Neural Network Wenxue Cui Shaohui Liu F. Jiang Debin Zhao 111 67 0 07 Dec 2021
Learning-Augmented $k$ -means Clustering Jon Ergun Zhili Feng Sandeep Silwal David P. Woodruff Samson Zhou 67 34 0 27 Oct 2021
Memory-Augmented Deep Unfolding Network for Compressive Sensing Jie Song Bin Chen Jian Zhang 93 94 0 19 Oct 2021
Generalized Tensor Summation Compressive Sensing Network (GTSNET): An Easy to Learn Compressive Sensing Operation Mehmet Yamaç U. Akpinar E. Sahin S. Kiranyaz Moncef Gabbouj 133 8 0 04 Aug 2021
Dynamic Proximal Unrolling Network for Compressive Imaging Yixiao Yang R. Tao Kaixuan Wei Ying Fu 91 11 0 23 Jul 2021
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing Di You Jian Zhang Jingfen Xie Bin Chen Siwei Ma 75 105 0 15 Jul 2021
ATP-Net: An Attention-based Ternary Projection Network For Compressed Sensing Guanxiong Nie Yajian Zhou 49 0 0 24 Jun 2021
Learning-based Support Estimation in Sublinear Time T. Eden Piotr Indyk Shyam Narayanan R. Rubinfeld Sandeep Silwal Tal Wagner 73 28 0 15 Jun 2021
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition Jiaming Liu M. Salman Asif B. Wohlberg Ulugbek S. Kamilov 121 43 0 07 Jun 2021
Deep Learning Techniques for Compressive Sensing-Based Reconstruction and Inference -- A Ubiquitous Systems Perspective Alina L. Machidon V. Pejović 122 6 0 26 May 2021
Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models Viraj Shah Rakib Hyder M. Salman Asif Chinmay Hegde 51 3 0 13 May 2021
Quantized Proximal Averaging Network for Analysis Sparse Coding Kartheek Kumar Reddy Nareddy Mani Madhoolika Bulusu P. Pokala C. Seelamantula MQ 72 1 0 13 May 2021
Scalable Deep Compressive Sensing Zhonghao Zhang Yipeng Liu Xingyu Cao Fei Wen Ce Zhu 71 3 0 20 Jan 2021
Unfolded Algorithms for Deep Phase Retrieval Naveed Naimipour Shahin Khobahi M. Soltanalian 65 5 0 21 Dec 2020
Convex Regularization Behind Neural Reconstruction Arda Sahiner Morteza Mardani Batu Mehmet Ozturkler Mert Pilanci John M. Pauly 67 25 0 09 Dec 2020
Compressive Sensing and Neural Networks from a Statistical Learning Perspective Arash Behboodi Holger Rauhut Ekkehard Schnoor 103 19 0 29 Oct 2020
FlatNet: Towards Photorealistic Scene Reconstruction from Lensless Measurements Salman S. Khan Varun Sundar Vivek Boominathan Ashok Veeraraghavan Kaushik Mitra 3DV 74 69 0 29 Oct 2020
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution Bahareh Tolooshams S. Mulleti Demba E. Ba Yonina C. Eldar 52 9 0 22 Oct 2020
$QISTA-Net: DNN Architecture to Solve $\ell_q$-norm Minimization Problem and Image Compressed Sensing$ QISTA-Net: DNN Architecture to Solve $\ell_q$ -norm Minimization Problem and Image Compressed Sensing Gang-Xuan Lin Shih-Wei Hu Chun-Shien Lu 29 1 0 22 Oct 2020
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme Dimitris Bertsimas V. Digalakis 63 5 0 17 Jul 2020
Generative Patch Priors for Practical Compressive Image Recovery Rushil Anirudh Suhas Lohit Pavan Turaga GAN 116 4 0 18 Jun 2020
Online Page Migration with ML Advice Piotr Indyk Frederik Mallmann-Trenn Slobodan Mitrović R. Rubinfeld OnRL 124 18 0 09 Jun 2020
Approximation in shift-invariant spaces with deep ReLU neural networks Yunfei Yang Zhen Li Yang Wang 76 14 0 25 May 2020
The Power of Triply Complementary Priors for Image Compressive Sensing Zhiyuan Zha Xin Yuan Qiufeng Wang Jiantao Zhou Bihan Wen Ce Zhu 58 15 0 16 May 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 131 539 0 12 May 2020