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
Unsupervised Learning of Sampling Distributions for Particle Filters Fernando Gama Nicolas Zilberstein Martín Sevilla Richard Baraniuk Santiago Segarra 40 9 0 02 Feb 2023
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence Elif Keles Ulas Bagci 33 21 0 01 Feb 2023
Backpropagation of Unrolled Solvers with Folded Optimization James Kotary M. H. Dinh Ferdinando Fioretto 24 14 0 28 Jan 2023
A Simple Adaptive Unfolding Network for Hyperspectral Image Reconstruction Junyu Wang Shijie Wang Wenyu Liu Zengqiang Zheng Xinggang Wang 13 2 0 24 Jan 2023
Machine Learning for Large-Scale Optimization in 6G Wireless Networks Yandong Shi Lixiang Lian Yuanming Shi Zixin Wang Yong Zhou Liqun Fu Lin Bai Jun Zhang Wei Zhang AI4CE 42 76 0 03 Jan 2023
Deep Unfolding-based Weighted Averaging for Federated Learning in Heterogeneous Environments Ayano Nakai-Kasai T. Wadayama FedML 27 0 0 23 Dec 2022
Unrolling SVT to obtain computationally efficient SVT for n-qubit quantum state tomography S. Shanmugam Sheetal Kalyani 13 7 0 17 Dec 2022
Efficient Visual Computing with Camera RAW Snapshots Zhihao Li Ming Lu Xu Zhang Xin Feng M. Salman Asif Zhan Ma 36 12 0 15 Dec 2022
A Learned Born Series for Highly-Scattering Media A. Stanziola Simon Arridge B. Cox B. Treeby 26 4 0 09 Dec 2022
Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints Jianyi Yang Shaolei Ren 20 2 0 03 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 32 63 0 30 Nov 2022
Near-filed SAR Image Restoration with Deep Learning Inverse Technique: A Preliminary Study Xu Zhan Xiaoling Zhang Wensi Zhang Jun Shi Shunjun Wei Tianjiao Zeng 46 1 0 28 Nov 2022
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images Theophil Trippe Martin Genzel Jan Macdonald M. März 34 1 0 18 Nov 2022
Deep equilibrium models as estimators for continuous latent variables Russell Tsuchida Cheng Soon Ong 30 8 0 11 Nov 2022
Hyper-Parameter Auto-Tuning for Sparse Bayesian Learning Dawei Gao Qinghua Guo Ming Jin G. Liao Yonina C. Eldar BDL 26 2 0 09 Nov 2022
RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection Soumen Basu Mayank Gupta Pratyaksha Rana Pankaj Gupta Chetan Arora ViT MedIm 26 32 0 09 Nov 2022
pyGSL: A Graph Structure Learning Toolkit Max Wasserman Gonzalo Mateos 32 0 0 07 Nov 2022
A Deep-Unfolded Spatiotemporal RPCA Network For L+S Decomposition Shoaib Imran Muhammad Ahmad Tahir Zubair Khalid M. Uppal 16 0 0 06 Nov 2022
Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model Jun-Hao Hu Shirin Shoushtari Zihao Zou Jiaming Liu Zhixin Sun Ulugbek S. Kamilov 59 4 0 01 Nov 2022
Explainable bilevel optimization: an application to the Helsinki deblur challenge S. Bonettini Giorgia Franchini Danilo Pezzi M. Prato 19 10 0 18 Oct 2022
Efficient Deep Unfolding for SISO-OFDM Channel Estimation Baptiste Chatelier Luc Le Magoarou Getachew Redieteab 16 12 0 11 Oct 2022
Alternating Differentiation for Optimization Layers Haixiang Sun Ye Shi Jingya Wang H. Tuan H. Vincent Poor Dacheng Tao ODL 43 14 0 03 Oct 2022
Unrolled Compressed Blind-Deconvolution Bahareh Tolooshams S. Mulleti Demba E. Ba Yonina C. Eldar 11 6 0 28 Sep 2022
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density Marion Savanier Émilie Chouzenoux J. Pesquet C. Riddell 26 16 0 27 Sep 2022
Deep Unfolding for Iterative Stripe Noise Removal Zeshan Fayyaz Daniel David Platnick Hannan Fayyaz Nariman Farsad 16 9 0 27 Sep 2022
Learning Variational Models with Unrolling and Bilevel Optimization Christoph Brauer Niklas Breustedt T. Wolff D. Lorenz SSL 31 3 0 26 Sep 2022
On Representing Linear Programs by Graph Neural Networks Ziang Chen Jialin Liu Xinshang Wang Jian Lu W. Yin AI4CE 60 31 0 25 Sep 2022
Video Restoration with a Deep Plug-and-Play Prior Antoine Monod J. Delon Matias Tassano Andrés Almansa 27 1 0 06 Sep 2022
Imaging with Equivariant Deep Learning Dongdong Chen Mike Davies Matthias Joachim Ehrhardt Carola-Bibiane Schönlieb Ferdia Sherry Julián Tachella 22 28 0 05 Sep 2022
Deep Learning for Material Decomposition in Photon-Counting CT Alma Eguizabal Ozan Oktem Mats U. Persson 29 7 0 05 Aug 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors Shirin Shoushtari Jiaming Liu Yuyang Hu Ulugbek S. Kamilov 26 6 0 26 Jul 2022
Physics Embedded Machine Learning for Electromagnetic Data Imaging Rui Guo Tianyao Huang Maokun Li H. Zhang Yonina C. Eldar MedIm AI4CE 22 38 0 26 Jul 2022
Theseus: A Library for Differentiable Nonlinear Optimization Luis Pineda Taosha Fan Maurizio Monge S. Venkataraman Paloma Sodhi ... Austin S. Wang Stuart Anderson Jing Dong Brandon Amos Mustafa Mukadam 29 76 0 19 Jul 2022
Unrolled algorithms for group synchronization N. Janco Tamir Bendory 24 3 0 19 Jul 2022
Learning Sparsity-Promoting Regularizers using Bilevel Optimization Avrajit Ghosh Michael T. McCann Madeline Mitchell S. Ravishankar 37 4 0 18 Jul 2022
Equivariant Hypergraph Diffusion Neural Operators Peihao Wang Shenghao Yang Yunyu Liu Zhangyang Wang Pan Li DiffM 30 33 0 14 Jul 2022
Exploring the solution space of linear inverse problems with GAN latent geometry Antonio Montanaro D. Valsesia E. Magli 11 4 0 01 Jul 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems Jonathan Scarlett Reinhard Heckel M. Rodrigues Paul Hand Yonina C. Eldar AI4CE 27 28 0 29 Jun 2022
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 45 6 0 16 Jun 2022
Analysis of function approximation and stability of general DNNs in directed acyclic graphs using un-rectifying analysis Wonjun Hwang Shih-Shuo Tung 11 4 0 13 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective Zepeng Zhang Ziping Zhao AI4CE 27 4 0 09 Jun 2022
Discriminative and Generative Learning for Linear Estimation of Random Signals [Lecture Notes] Nir Shlezinger T. Routtenberg 29 37 0 09 Jun 2022
Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery S. K. Shastri Rizwan Ahmad Christopher A. Metzler Philip Schniter 27 7 0 09 Jun 2022
Online Deep Equilibrium Learning for Regularization by Denoising Jiaming Liu Xiaojian Xu Weijie Gan Shirin Shoushtari Ulugbek S. Kamilov 34 26 0 25 May 2022
$D$^\text{2}$UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion$ D $^\text{2}$ UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion Roman Jacome Jorge Bacca Henry Arguello 35 2 0 24 May 2022
DOGE-Train: Discrete Optimization on GPU with End-to-end Training Ahmed Abbas Paul Swoboda 38 6 0 23 May 2022
RCP: Recurrent Closest Point for Scene Flow Estimation on 3D Point Clouds Xiaodong Gu Chengzhou Tang Weihao Yuan Zuozhuo Dai Siyu Zhu Ping Tan 3DPC 25 10 0 23 May 2022
Learning Graph Structure from Convolutional Mixtures Max Wasserman Saurabh Sihag Gonzalo Mateos Alejandro Ribeiro GNN CML BDL 37 6 0 19 May 2022
DECONET: an Unfolding Network for Analysis-based Compressed Sensing with Generalization Error Bounds Vicky Kouni Yannis Panagakis 27 1 0 14 May 2022
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization Nir Shlezinger Yonina C. Eldar Stephen P. Boyd 30 130 0 05 May 2022