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
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems Nathan Buskulic M. Fadili Yvain Quéau 22 4 0 21 Sep 2023
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM Yoav Noah Nir Shlezinger 33 4 0 21 Sep 2023
CalibFPA: A Focal Plane Array Imaging System based on Online Deep-Learning Calibration Alper Gungor M. U. Bahçeci Yasin Ergen Ahmet Sozak O. O. Ekiz Tolga Yelboğa Tolga cCukur 24 0 0 20 Sep 2023
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models Song Mei Yuchen Wu DiffM 31 26 0 20 Sep 2023
Uncertainty quantification for learned ISTA Frederik Hoppe C. M. Verdun Felix Krahmer Hannah Laus Holger Rauhut UQCV 31 3 0 14 Sep 2023
Learning to Warm-Start Fixed-Point Optimization Algorithms Rajiv Sambharya Georgina Hall Brandon Amos Bartolomeo Stellato 36 12 0 14 Sep 2023
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss T. Getu Georges Kaddoum M. Bennis 40 1 0 13 Sep 2023
Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding Shaik Basheeruddin Shah Pradyumna Pradhan Wei Pu Ramunaidu Randhi Miguel R. D. Rodrigues Yonina C. Eldar 22 4 0 12 Sep 2023
Emergence of Segmentation with Minimalistic White-Box Transformers Yaodong Yu Tianzhe Chu Shengbang Tong Ziyang Wu Druv Pai Sam Buchanan Y. Ma ViT 22 22 0 30 Aug 2023
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences Zhishen Huang 31 1 0 28 Aug 2023
Self-Supervised Scalable Deep Compressed Sensing Bin Chen Xuanyu Zhang Shuai Liu Yongbing Zhang Jian Zhang 22 5 0 26 Aug 2023
Consistent Signal Reconstruction from Streaming Multivariate Time Series Emilio Ruiz-Moreno Luis Miguel Lopez Ramos B. Beferull-Lozano 16 0 0 23 Aug 2023
Iterative Reweighted Least Squares Networks With Convergence Guarantees for Solving Inverse Imaging Problems Iaroslav Koshelev Stamatios Lefkimmiatis 39 1 0 10 Aug 2023
Deep Learning Meets Adaptive Filtering: A Stein's Unbiased Risk Estimator Approach Zahra Esmaeilbeig M. Soltanalian 20 3 0 31 Jul 2023
Deep Unrolling Networks with Recurrent Momentum Acceleration for Nonlinear Inverse Problems Qingping Zhou Jiayu Qian Junqi Tang Jinglai Li AI4CE 27 4 0 30 Jul 2023
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities Jayanta Mandi James Kotary Senne Berden Maxime Mulamba Víctor Bucarey Tias Guns Ferdinando Fioretto AI4CE 28 55 0 25 Jul 2023
A signal processing interpretation of noise-reduction convolutional neural networks Luis A. Zavala-Mondragón Peter H. N. de With Fons van der Sommen 25 0 0 25 Jul 2023
Deep unrolling Shrinkage Network for Dynamic MR imaging Yinghao Zhang Xiaodi Li Weihang Li Yue Hu 32 4 0 19 Jul 2023
Sampling-Priors-Augmented Deep Unfolding Network for Robust Video Compressive Sensing Yuhao Huang Gangrong Qu Youran Ge 22 0 0 14 Jul 2023
Deep Unrolling for Nonconvex Robust Principal Component Analysis E. C. Tan C. Chaux Emmanuel Soubies Vincent Y. F. Tan 42 3 0 12 Jul 2023
Spatially Varying Exposure with 2-by-2 Multiplexing: Optimality and Universality Xiangyu Qu Yiheng Chi Stanley H. Chan 22 6 0 30 Jun 2023
Improving Federated Aggregation with Deep Unfolding Networks S. Nanayakkara Shiva Raj Pokhrel Gang Li FedML 31 0 0 30 Jun 2023
Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstruction Riccardo Mazzieri Jacopo Pegoraro Michele Rossi 7 1 0 25 Jun 2023
Accelerating Multiframe Blind Deconvolution via Deep Learning A. Ramos S. E. Pozuelo C. Kuckein 13 2 0 21 Jun 2023
Unsupervised Deep Unfolded PGD for Transmit Power Allocation in Wireless Systems Ramoni O. Adeogun 14 1 0 20 Jun 2023
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty Utsav Sadana A. Chenreddy Erick Delage Alexandre Forel Emma Frejinger Thibaut Vidal AI4CE 45 83 0 17 Jun 2023
An Optimization-based Deep Equilibrium Model for Hyperspectral Image Deconvolution with Convergence Guarantees A. Gkillas D. Ampeliotis K. Berberidis 33 0 0 10 Jun 2023
Learned Alternating Minimization Algorithm for Dual-domain Sparse-View CT Reconstruction Chi-Jiao Ding Qingchao Zhang Ge Wang X. Ye Yunmei Chen 17 7 0 05 Jun 2023
Towards Constituting Mathematical Structures for Learning to Optimize Jialin Liu Xiaohan Chen Zhangyang Wang W. Yin HanQin Cai 34 12 0 29 May 2023
Stochastic Unrolled Federated Learning Samar Hadou Navid Naderializadeh Alejandro Ribeiro FedML 30 5 0 24 May 2023
Deep-Learning-Aided Alternating Least Squares for Tensor CP Decomposition and Its Application to Massive MIMO Channel Estimation Xiao Gong Wei Chen Bo Ai G. Leus 11 1 0 23 May 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems Weijie Gan Shirin Shoushtari Yuyang Hu Jiaming Liu Hongyu An Ulugbek S. Kamilov 23 11 0 22 May 2023
A Compound Gaussian Least Squares Algorithm and Unrolled Network for Linear Inverse Problems Carter Lyons R. Raj Margaret Cheney 16 7 0 18 May 2023
Deep-Unfolding for Next-Generation Transceivers Qiyu Hu Yunlong Cai Guangyi Zhang Guanding Yu Geoffrey Ye Li 25 4 0 15 May 2023
Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion Nicolas Zilberstein A. Sabharwal Santiago Segarra DiffM 39 8 0 08 May 2023
Physics-based network fine-tuning for robust quantitative susceptibility mapping from high-pass filtered phase Jinwei Zhang A. Dimov Chao Li Hang Zhang Thanh D. Nguyen P. Spincemaille Yi Wang 27 0 0 05 May 2023
Interpretability of Machine Learning: Recent Advances and Future Prospects Lei Gao L. Guan AAML 43 31 0 30 Apr 2023
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization Stamatios Lefkimmiatis Iaroslav Koshelev 20 8 0 20 Apr 2023
Generalization and Estimation Error Bounds for Model-based Neural Networks Avner Shultzman Eyar Azar M. Rodrigues Yonina C. Eldar 18 7 0 19 Apr 2023
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems Ziruo Cai Junqi Tang Subhadip Mukherjee Jinglai Li Carola Bibiane Schönlieb Xiaoqun Zhang AI4CE 33 3 0 17 Apr 2023
Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography A. Hauptmann Jenni Poimala MedIm 33 5 0 04 Apr 2023
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks Arindam Chowdhury Gunjan Verma A. Swami Santiago Segarra 28 13 0 02 Apr 2023
SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTA Pan Xiao Peijie Qiu Sungmin Ha Abdalla Bani Shuang Zhou Aristeidis Sotiras DRL 25 4 0 29 Mar 2023
Convergence Guarantees of Overparametrized Wide Deep Inverse Prior Nathan Buskulic Yvain Quéau M. Fadili BDL 16 2 0 20 Mar 2023
Learning to Reconstruct Signals From Binary Measurements Julián Tachella Laurent Jacques SSL 13 2 0 15 Mar 2023
Generalization analysis of an unfolding network for analysis-based Compressed Sensing Vicky Kouni Yannis Panagakis MLT 26 0 0 09 Mar 2023
Sparse, Geometric Autoencoder Models of V1 Jonathan Huml Abiy Tasissa Demba E. Ba 16 0 0 22 Feb 2023
Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems Hengtao He Xianghao Yu Jun Zhang Shenghui Song Khaled B. Letaief 37 16 0 14 Feb 2023
Hierarchical Optimization-Derived Learning Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 28 3 0 11 Feb 2023
CQnet: convex-geometric interpretation and constraining neural-network trajectories Bas Peters 32 0 0 09 Feb 2023