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"

46 / 46 papers shown

Title
Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework Ankit Amrutkar Björn Kampa Volkmar Schulz Johannes Stegmaier Markus Rothermel Dorit Merhof 16 0 0 30 Apr 2025
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers Elad Sofer Tomer Shaked Caroline Chaux Nir Shlezinger AAML 30 0 0 26 Apr 2025
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI Yinghao Zhang Haiyan Gui Ningdi Yang Yue Hu 44 0 0 17 Feb 2025
Inversion of Magnetic Data using Learned Dictionaries and Scale Space Shadab Ahamed Simon Ghyselincks Pablo Chang Huang Arias Julian Kloiber Yasin Ranjbar Jingrong Tang N. Zakariaei Eldad Haber AI4CE 57 0 0 08 Feb 2025
Learning Point Spread Function Invertibility Assessment for Image Deconvolution Romario Gualdrón-Hurtado Roman Jacome Sergio Urrea Henry Arguello Luis Gonzalez 73 0 0 28 Jan 2025
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems Eric Chen Xi Chen A. Maleki S. Jalali 33 0 0 08 Jan 2025
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning Long Zhou Fereshteh Shakeri Aymen Sadraoui Mounir Kaaniche J. Pesquet Ismail Ben Ayed VLM 75 0 0 21 Dec 2024
Learning Structured Compressed Sensing with Automatic Resource Allocation Han Wang Eduardo Pérez Iris A. M. Huijben Hans van Gorp Ruud J. G. van Sloun Florian Römer 19 0 0 24 Oct 2024
WARP-LCA: Efficient Convolutional Sparse Coding with Locally Competitive Algorithm Geoffrey Kasenbacher Felix Ehret Gerrit Ecke Sebastian Otte 49 0 0 24 Oct 2024
SINET: Sparsity-driven Interpretable Neural Network for Underwater Image Enhancement Gargi Panda Soumitra Kundu Saumik Bhattacharya Aurobinda Routray 20 0 0 02 Sep 2024
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures Michael Unser Alexis Goujon Stanislas Ducotterd 24 2 0 23 Aug 2024
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure Can Pouliquen Mathurin Massias Titouan Vayer 38 0 0 13 Jun 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Song Mei 3DV AI4CE DiffM 29 11 0 29 Apr 2024
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation Hongwei Tan Ziruo Cai Marcelo Pereyra Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb SSL 50 1 0 08 Apr 2024
Specularity Factorization for Low-Light Enhancement A. S. Baslamisli Noah Snavely. Intrinsic 31 3 0 02 Apr 2024
Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding Yuya Kawamura Satoshi Takabe BDL 14 0 0 23 Feb 2024
Deep Internal Learning: Deep Learning from a Single Input Tom Tirer Raja Giryes Se Young Chun Yonina C. Eldar 8 3 0 12 Dec 2023
Deep Regularized Compound Gaussian Network for Solving Linear Inverse Problems Carter Lyons R. Raj Margaret Cheney BDL 13 3 0 28 Nov 2023
Learned Nonlinear Predictor for Critically Sampled 3D Point Cloud Attribute Compression Tam Thuc Do Philip A. Chou Gene Cheung 3DPC 11 0 0 22 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 20 11 0 22 Oct 2023
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss T. Getu Georges Kaddoum M. Bennis 23 1 0 13 Sep 2023
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences Zhishen Huang 10 1 0 28 Aug 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 11 54 0 25 Jul 2023
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks Arindam Chowdhury Gunjan Verma A. Swami Santiago Segarra 11 12 0 02 Apr 2023
Generalization analysis of an unfolding network for analysis-based Compressed Sensing Vicky Kouni Yannis Panagakis MLT 13 0 0 09 Mar 2023
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 30 1 0 28 Nov 2022
Explainable bilevel optimization: an application to the Helsinki deblur challenge S. Bonettini Giorgia Franchini Danilo Pezzi M. Prato 12 10 0 18 Oct 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 13 16 0 27 Sep 2022
On Representing Linear Programs by Graph Neural Networks Ziang Chen Jialin Liu Xinshang Wang Jian Lu W. Yin AI4CE 39 31 0 25 Sep 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors S. Shoushtari Jiaming Liu Yuyang Hu Ulugbek S. Kamilov 11 6 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 11 76 0 19 Jul 2022
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 16 6 0 16 Jun 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 17 10 0 23 May 2022
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems Julián Tachella Dongdong Chen Mike Davies SSL 14 22 0 23 Mar 2022
Graph Neural Networks for Wireless Communications: From Theory to Practice Yifei Shen Jun Zhang Shenghui Song Khaled B. Letaief GNN AI4CE 8 110 0 21 Mar 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors Pakshal Bohra Thanh-an Michel Pham Jonathan Dong M. Unser MedIm 8 11 0 18 Mar 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware Holger Boche Adalbert Fono Gitta Kutyniok 11 25 0 28 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 58 42 0 01 Feb 2022
EM-driven unsupervised learning for efficient motion segmentation E. Meunier A. Badoual P. Bouthemy 14 39 0 06 Jan 2022
Unrolling PALM for sparse semi-blind source separation Mohammad Fahes Christophe Kervazo J. Bobin F. Tupin 13 6 0 10 Dec 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 15 414 0 24 Nov 2021
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction Riccardo Barbano Johannes Leuschner Maximilian Schmidt Alexander Denker A. Hauptmann Peter Maass Bangti Jin 21 19 0 23 Nov 2021
Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution Yunshi Huang Émilie Chouzenoux J. Pesquet BDL 11 12 0 14 Oct 2021
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection HanQin Cai Jialin Liu W. Yin 12 39 0 11 Oct 2021
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction Zhong-Qiu Wang Jonathan Le Roux DeLiang Wang J. Hershey 82 122 0 26 Apr 2018
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding V. Papyan Yaniv Romano Michael Elad 48 283 0 27 Jul 2016