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
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models Hengkang Wang Xu Zhang Taihui Li Yuxiang Wan Tiancong Chen Ju Sun DiffM 34 12 0 27 May 2024
Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems Hanyu Chen Zhixiu Hao Liying Xiao DiffM 34 2 0 17 May 2024
Joint Edge Optimization Deep Unfolding Network for Accelerated MRI Reconstruction Yue Cai Yu Luo Jie Ling Shun Yao 32 2 0 09 May 2024
Continuous Learned Primal Dual Christina Runkel A. Biguri Carola-Bibiane Schönlieb AI4CE 18 0 0 03 May 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Song Mei 3DV AI4CE DiffM 41 11 0 29 Apr 2024
Multibranch Generative Models for Multichannel Imaging with an Application to PET/CT Synergistic Reconstruction N. J. Pinton A. Bousse C. Cheze-le-Rest D. Visvikis MedIm 27 0 0 12 Apr 2024
Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images Xian Li Nicolas Nadisic Shaoguang Huang Aleksandra Pižurica 25 1 0 10 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 70 1 0 08 Apr 2024
Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks Ben Adcock Simone Brugiapaglia N. Dexter S. Moraga 42 4 0 04 Apr 2024
Specularity Factorization for Low-Light Enhancement A. S. Baslamisli Noah Snavely. Intrinsic 47 4 0 02 Apr 2024
Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction Sreemanti Dey Snigdha Saha Berthy T. Feng Manxiu Cui Laure Delisle Oscar Leong Lihong V. Wang Katherine L. Bouman MedIm 27 4 0 30 Mar 2024
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction Xingyu Xu Yuejie Chi DiffM 42 20 0 25 Mar 2024
Invertible Diffusion Models for Compressed Sensing Bin Chen Zhenyu Zhang Weiqi Li Chen Zhao Jiwen Yu Shijie Zhao Jie Chen Jian Zhang DiffM 57 5 0 25 Mar 2024
Enhanced Event-Based Video Reconstruction with Motion Compensation Siying Liu P. Dragotti 42 1 0 18 Mar 2024
Overcoming Distribution Shifts in Plug-and-Play Methods with Test-Time Training Edward P. Chandler Shirin Shoushtari Jiaming Liu M. Salman Asif Ulugbek S. Kamilov OOD 34 1 0 15 Mar 2024
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning Shuo Tang Rui Ye Chenxin Xu Xiaowen Dong Siheng Chen Yanfeng Wang 44 0 0 11 Mar 2024
Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures Peimeng Guan Naveed Iqbal Mark A. Davenport Mudassir Masood 48 2 0 07 Mar 2024
Reconstruction for Sparse View Tomography of Long Objects Applied to Imaging in the Wood Industry Buda Bajić Johannes A. J. Huber Benedikt Neyses Linus Olofsson Ozan Oktem 33 0 0 05 Mar 2024
Debiasing Machine Learning Models by Using Weakly Supervised Learning Renan D. B. Brotto Jean-Michel Loubes Laurent Risser J. Florens K. Filho João Marcos Travassos Romano 40 0 0 23 Feb 2024
Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding Yuya Kawamura Satoshi Takabe BDL 34 0 0 23 Feb 2024
On Generalization Bounds for Deep Compound Gaussian Neural Networks Carter Lyons R. Raj Margaret Cheney AI4CE 37 2 0 20 Feb 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 31 0 0 19 Feb 2024
Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss function Megan Lantz E. Sidky Ingrid S. Reiser Xiaochuan Pan Gregory Ongie 42 1 0 15 Feb 2024
Training Implicit Networks for Image Deblurring using Jacobian-Free Backpropagation Linghai Liu Shuaicheng Tong Lisa Zhao 21 1 0 03 Feb 2024
Low-resolution Prior Equilibrium Network for CT Reconstruction Yijie Yang Qifeng Gao Yuping Duan 32 0 0 28 Jan 2024
Learning Non-myopic Power Allocation in Constrained Scenarios Arindam Chowdhury Santiago Paternain Gunjan Verma A. Swami Santiago Segarra 21 0 0 18 Jan 2024
Learn What You Need in Personalized Federated Learning Kexin Lv Rui Ye Xiaolin Huang Jie-jin Yang Siheng Chen FedML 29 0 0 16 Jan 2024
Knowledge-Driven Deep Learning Paradigms for Wireless Network Optimization in 6G Ruijin Sun Nan Cheng Changle Li Fangjiong Chen Wen Chen 9 26 0 15 Jan 2024
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization James Kotary Jacob K Christopher M. H. Dinh Ferdinando Fioretto 11 0 0 28 Dec 2023
Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO Imaging Okyanus Oral F. Oktem 22 1 0 26 Dec 2023
Robust Stochastically-Descending Unrolled Networks Samar Hadou Navid Naderializadeh Alejandro Ribeiro 59 2 0 25 Dec 2023
Deep Internal Learning: Deep Learning from a Single Input Tom Tirer Raja Giryes Se Young Chun Yonina C. Eldar 34 3 0 12 Dec 2023
MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control Yiwen Lu Zishuo Li Yihan Zhou Na Li Yilin Mo 25 2 0 08 Dec 2023
Integrating Plug-and-Play Data Priors with Weighted Prediction Error for Speech Dereverberation Ziye Yang Wenxing Yang Kai Xie Jie Chen 14 2 0 05 Dec 2023
Clustering Inductive Biases with Unrolled Networks Jonathan Huml Abiy Tasissa Demba Ba 6 0 0 30 Nov 2023
Deep Regularized Compound Gaussian Network for Solving Linear Inverse Problems Carter Lyons R. Raj Margaret Cheney BDL 26 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 21 0 0 22 Nov 2023
An NMF-Based Building Block for Interpretable Neural Networks With Continual Learning Brian K. Vogel 20 0 0 20 Nov 2023
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging M. Carioni Subhadip Mukherjee Hongwei Tan Junqi Tang MedIm 31 3 0 15 Nov 2023
A statistical perspective on algorithm unrolling models for inverse problems Yves Atchadé Xinru Liu Qiuyun Zhu 19 0 0 10 Nov 2023
Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning Chicago Park Weijie Gan Zihao Zou Yuyang Hu Zhixin Sun Ulugbek S. Kamilov 22 0 0 03 Nov 2023
Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches Derick Nganyu Tanyu Jianfeng Ning Andreas Hauptmann Bangti Jin Peter Maass 24 7 0 28 Oct 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 31 11 0 22 Oct 2023
TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds Jingkai Yan Shiyu Wang Xinyu Rain Wei Jimmy Wang Z. Márka S. Márka John N. Wright 16 1 0 16 Oct 2023
PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction Weijie Gan Qiuchen Zhai Michael T. McCann Cristina Garcia Cardona Ulugbek S. Kamilov B. Wohlberg 38 5 0 11 Oct 2023
Towards Scalable Wireless Federated Learning: Challenges and Solutions Yong Zhou Yuanming Shi Haibo Zhou Jingjing Wang Liqun Fu Yang Yang 19 3 0 08 Oct 2023
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing R. Borsoi Deniz Erdoğmuş Tales Imbiriba 19 4 0 03 Oct 2023
A Framework for Interpretability in Machine Learning for Medical Imaging Alan Q. Wang Batuhan K. Karaman Heejong Kim Jacob Rosenthal Rachit Saluja Sean I. Young M. Sabuncu AI4CE 17 10 0 02 Oct 2023
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis Shirin Shoushtari Jiaming Liu Edward P. Chandler M. Salman Asif Ulugbek S. Kamilov 28 4 0 29 Sep 2023
NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps F. Zimmermann A. Kofler 32 1 0 27 Sep 2023