Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing

22 December 2019

Papers citing "Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing"

50 / 334 papers shown

Title
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 62 137 0 09 Sep 2021
Solving Inverse Problems with Conditional-GAN Prior via Fast Network-Projected Gradient Descent Muhammad Fadli Damara Gregor Kornhardt P. Jung GAN 6 1 0 02 Sep 2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods Tobias Alt Karl Schrader Joachim Weickert Pascal Peter M. Augustin 22 4 0 31 Aug 2021
Deep Algorithm Unrolling for Biomedical Imaging Yuelong Li Or Bar-Shira V. Monga Yonina C. Eldar SyDa 31 10 0 15 Aug 2021
Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images Zhiyu Zhu Hui Liu Junhui Hou Sen Jia Qingfu Zhang 27 18 0 12 Aug 2021
Learned super resolution ultrasound for improved breast lesion characterization Or Bar-Shira A. Grubstein Y. Rapson Dror Suhami E. Atar Keren Peri-Hanania R. Rosen Yonina C. Eldar 28 12 0 12 Jul 2021
Interpretable Deep Feature Propagation for Early Action Recognition He Zhao Richard P. Wildes FAtt 29 8 0 11 Jul 2021
TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation Xuejing Lei Ganning Zhao Kaitai Zhang C.-C. Jay Kuo 22 16 0 08 Jul 2021
Unsupervised Knowledge-Transfer for Learned Image Reconstruction Riccardo Barbano Ž. Kereta A. Hauptmann Simon Arridge Bangti Jin 35 11 0 06 Jul 2021
Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability Anubhab Ghosh Antoine Honoré Dong Liu G. Henter S. Chatterjee 16 5 0 01 Jul 2021
Graph Signal Restoration Using Nested Deep Algorithm Unrolling Masatoshi Nagahama Koki Yamada Yuichi Tanaka Stanley H. Chan Yonina C. Eldar 24 18 0 30 Jun 2021
Learned Interpretable Residual Extragradient ISTA for Sparse Coding Lin Kong Wei Sun Fanhua Shang Yuanyuan Liu Hongying Liu 22 1 0 22 Jun 2021
Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee Yandong Shi Hayoung Choi Yuanming Shi Yong Zhou 27 29 0 19 Jun 2021
Deep Unfolding of Iteratively Reweighted ADMM for Wireless RF Sensing U. M. Thanthrige P. Jung Aydin Sezgin 25 7 0 07 Jun 2021
End-to-end reconstruction meets data-driven regularization for inverse problems Subhadip Mukherjee M. Carioni Ozan Oktem Carola-Bibiane Schönlieb 28 38 0 07 Jun 2021
Stable and Interpretable Unrolled Dictionary Learning Bahareh Tolooshams Demba E. Ba 13 13 0 31 May 2021
Deep Learning Techniques for Compressive Sensing-Based Reconstruction and Inference -- A Ubiquitous Systems Perspective Alina L. Machidon V. Pejović 17 6 0 26 May 2021
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement Mehmet Akccakaya Burhaneddin Yaman Hyungjin Chung Jong Chul Ye MedIm 36 55 0 17 May 2021
Deep learned SVT: Unrolling singular value thresholding to obtain better MSE S. Shanmugam Sheetal Kalyani 20 0 0 14 May 2021
NuSPAN: A Proximal Average Network for Nonuniform Sparse Model -- Application to Seismic Reflectivity Inversion S. Mache P. Pokala K. Rajendran C. Seelamantula 53 4 0 01 May 2021
Feasibility-based Fixed Point Networks Howard Heaton Samy Wu Fung A. Gibali W. Yin 21 26 0 29 Apr 2021
DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network S. Mache P. Pokala K. Rajendran C. Seelamantula 27 8 0 10 Apr 2021
A Design Space Study for LISTA and Beyond Tianjian Meng Xiaohan Chen Yi Ding Zhangyang Wang 28 3 0 08 Apr 2021
Knowledge Distillation By Sparse Representation Matching D. Tran Moncef Gabbouj Alexandros Iosifidis 21 0 0 31 Mar 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 40 225 0 23 Mar 2021
Deep Gradient Projection Networks for Pan-sharpening Shuang Xu Jiangshe Zhang Zixiang Zhao Kai Sun Junmin Liu Chunxia Zhang 11 131 0 08 Mar 2021
CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning Nikola Janjušević Amirhossein Khalilian-Gourtani Yao Wang 8 5 0 05 Mar 2021
Learning with Hyperspherical Uniformity Weiyang Liu Rongmei Lin Zhen Liu Li Xiong Bernhard Schölkopf Adrian Weller 37 35 0 02 Mar 2021
Deep Unfolded Recovery of Sub-Nyquist Sampled Ultrasound Image Alon Mamistvalov Yonina C. Eldar 21 14 0 01 Mar 2021
LADMM-Net: An Unrolled Deep Network For Spectral Image Fusion From Compressive Data J. Ramírez J. I. M. Torre Henry Arguello 20 26 0 01 Mar 2021
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training Sheng Liu Xiao Li Yuexiang Zhai Chong You Zhihui Zhu C. Fernandez‐Granda Qing Qu 19 25 0 01 Mar 2021
CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection with Low Complexity Edgar Beck C. Bockelmann Armin Dekorsy 18 12 0 25 Feb 2021
Zero-Shot Self-Supervised Learning for MRI Reconstruction Burhaneddin Yaman S. A. Hosseini Mehmet Akçakaya 21 67 0 15 Feb 2021
On the convergence of group-sparse autoencoders Emmanouil Theodosis Bahareh Tolooshams Pranay Tankala Abiy Tasissa Demba E. Ba 25 2 0 13 Feb 2021
LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers Shahin Khobahi Nir Shlezinger M. Soltanalian Yonina C. Eldar 16 37 0 05 Feb 2021
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem Matthew J. Colbrook Vegard Antun A. Hansen 73 129 0 20 Jan 2021
Model-Based Machine Learning for Communications Nir Shlezinger Nariman Farsad Yonina C. Eldar Andrea J. Goldsmith 33 23 0 12 Jan 2021
Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork Chang-Jen Wang Chao-Kai Wen Shang-Ho S. Tsai Shi Jin Geoffrey Ye Li 24 5 0 12 Jan 2021
Unfolded Algorithms for Deep Phase Retrieval Naveed Naimipour Shahin Khobahi M. Soltanalian 20 5 0 21 Dec 2020
Model-Based Deep Learning Nir Shlezinger Jay Whang Yonina C. Eldar A. Dimakis 28 315 0 15 Dec 2020
Optimization-Inspired Learning with Architecture Augmentations and Control Mechanisms for Low-Level Vision Risheng Liu Zhu Liu Pan Mu Xin-Yue Fan Zhongxuan Luo 18 5 0 10 Dec 2020
Spatio-Temporal Graph Scattering Transform Chao Pan Siheng Chen Antonio Ortega AI4TS 13 27 0 06 Dec 2020
K-Deep Simplex: Deep Manifold Learning via Local Dictionaries Pranay Tankala Abiy Tasissa James M. Murphy Demba E. Ba 11 11 0 03 Dec 2020
Cost Function Unrolling in Unsupervised Optical Flow Gal Lifshitz D. Raviv 39 3 0 30 Nov 2020
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation Yair Kittenplon Yonina C. Eldar D. Raviv 3DPC 32 115 0 19 Nov 2020
Plug-And-Play Learned Gaussian-mixture Approximate Message Passing O. Musa P. Jung Giuseppe Caire 17 8 0 18 Nov 2020
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems Kaixuan Wei Angelica Aviles-Rivero Jingwei Liang Ying Fu Hua Huang Carola-Bibiane Schönlieb 27 34 0 18 Nov 2020
Efficient power allocation using graph neural networks and deep algorithm unfolding Arindam Chowdhury Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra 49 14 0 18 Nov 2020
Statistical model-based evaluation of neural networks Sandipan Das P. B. Gohain Alireza M. Javid Yonina C. Eldar S. Chatterjee 16 0 0 18 Nov 2020
Deep-RLS: A Model-Inspired Deep Learning Approach to Nonlinear PCA Zahra Esmaeilbeig Shahin Khobahi M. Soltanalian 6 5 0 15 Nov 2020