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"

34 / 334 papers shown

Title
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms J. Hertrich Sebastian Neumayer Gabriele Steidl 16 57 0 04 Nov 2020
Deep Networks from the Principle of Rate Reduction Kwan Ho Ryan Chan Yaodong Yu Chong You Haozhi Qi John N. Wright Yi Ma 19 21 0 27 Oct 2020
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking Burhaneddin Yaman S. A. Hosseini S. Moeller Mehmet Akçakaya AI4CE 27 4 0 26 Oct 2020
Convergence Acceleration via Chebyshev Step: Plausible Interpretation of Deep-Unfolded Gradient Descent Satoshi Takabe T. Wadayama 8 10 0 26 Oct 2020
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution Bahareh Tolooshams S. Mulleti Demba E. Ba Yonina C. Eldar 9 9 0 22 Oct 2020
Unrolling of Deep Graph Total Variation for Image Denoising Huy Vu Gene Cheung Yonina C. Eldar 19 22 0 21 Oct 2020
Learning to solve TV regularized problems with unrolled algorithms Hamza Cherkaoui Jeremias Sulam Thomas Moreau 10 12 0 19 Oct 2020
Learned Greedy Method (LGM): A Novel Neural Architecture for Sparse Coding and Beyond Rajaei Khatib Dror Simon Michael Elad 6 15 0 14 Oct 2020
Automotive Radar Interference Mitigation with Unfolded Robust PCA based on Residual Overcomplete Auto-Encoder Blocks Nicolae-Cuatualin Ristea Andrei Anghel Radu Tudor Ionescu Yonina C. Eldar 22 2 0 14 Oct 2020
Neurally Augmented ALISTA Freya Behrens Jonathan Sauder P. Jung 12 15 0 05 Oct 2020
Image Separation with Side Information: A Connected Auto-Encoders Based Approach Wei Pu B. Sober Nathan Daly Zahra Sabetsarvestani C. Higgitt Ingrid Daubechies M. Rodrigues GAN 10 3 0 16 Sep 2020
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI Burhaneddin Yaman Hongyi Gu S. A. Hosseini Omer Burak Demirel S. Moeller J. Ellermann K. Uğurbil Mehmet Akçakaya OOD 26 35 0 13 Aug 2020
mpNet: variable depth unfolded neural network for massive MIMO channel estimation Taha Yassine Luc Le Magoarou 11 25 0 07 Aug 2020
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding Bruno Lecouat Jean Ponce Julien Mairal AI4CE 8 6 0 26 Jun 2020
Model-Aware Regularization For Learning Approaches To Inverse Problems Jaweria Amjad Zhaoyang Lyu M. Rodrigues MedIm 6 0 0 18 Jun 2020
Deep unfolding of the weighted MMSE beamforming algorithm Lissy Pellaco M. Bengtsson Joakim Jaldén 27 21 0 15 Jun 2020
Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems Qiyu Hu Yunlong Cai Qingjiang Shi Kaidi Xu Guanding Yu Z. Ding 11 173 0 15 Jun 2020
Learned Factor Graphs for Inference from Stationary Time Sequences Nir Shlezinger Nariman Farsad Yonina C. Eldar Andrea J. Goldsmith 21 24 0 05 Jun 2020
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction Haimiao Zhang Baodong Liu Hengyong Yu Bin Dong 14 61 0 30 May 2020
Deep Convolutional Sparse Coding Networks for Image Fusion Shuang Xu Zixiang Zhao Yicheng Wang Chunxia Zhang Junmin Liu Jiangshe Zhang 9 7 0 18 May 2020
Efficient and Model-Based Infrared and Visible Image Fusion Via Algorithm Unrolling Zixiang Zhao Shuang Xu Jiangshe Zhang Chengyang Liang Chunxia Zhang Junmin Liu 12 3 0 12 May 2020
Online unsupervised deep unfolding for MIMO channel estimation Luc Le Magoarou S. Paquelet 6 3 0 30 Apr 2020
Data-Driven Symbol Detection via Model-Based Machine Learning Nariman Farsad Nir Shlezinger Andrea J. Goldsmith Yonina C. Eldar 26 49 0 14 Feb 2020
Translating Diffusion, Wavelets, and Regularisation into Residual Networks Tobias Alt Joachim Weickert Pascal Peter DiffM 21 8 0 07 Feb 2020
Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent Satoshi Takabe T. Wadayama 12 9 0 15 Jan 2020
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems N. Gottschling Vegard Antun A. Hansen Ben Adcock 24 31 0 05 Jan 2020
Deep learning architectures for nonlinear operator functions and nonlinear inverse problems Maarten V. de Hoop Matti Lassas C. Wong 25 25 0 23 Dec 2019
Solving Traveltime Tomography with Deep Learning Yuwei Fan Lexing Ying 21 13 0 25 Nov 2019
Deep Learning for space-variant deconvolution in galaxy surveys F. Sureau Alexis Lechat Jean-Luc Starck 3DPC 17 21 0 01 Nov 2019
Convolutional dictionary learning based auto-encoders for natural exponential-family distributions Bahareh Tolooshams Andrew H. Song S. Temereanca Demba E. Ba BDL 11 0 0 07 Jul 2019
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection Nir Shlezinger Nariman Farsad Yonina C. Eldar Andrea J. Goldsmith 21 141 0 26 May 2019
Task adapted reconstruction for inverse problems J. Adler Sebastian Lunz Olivier Verdier Carola-Bibiane Schönlieb Ozan Oktem 28 43 0 27 Aug 2018
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction Zhong-Qiu Wang Jonathan Le Roux DeLiang Wang J. Hershey 96 123 0 26 Apr 2018
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding Vardan Papyan Yaniv Romano Michael Elad 59 284 0 27 Jul 2016