Deep Equilibrium Architectures for Inverse Problems in Imaging

16 February 2021

Papers citing "Deep Equilibrium Architectures for Inverse Problems in Imaging"

46 / 96 papers shown

Title
Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography A. Hauptmann Jenni Poimala MedIm 26 5 0 04 Apr 2023
Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL) Aniket Pramanik M. Jacob 14 2 0 03 Apr 2023
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting H. Naumer F. Kamalabadi 20 0 0 27 Mar 2023
SMUG: Towards robust MRI reconstruction by smoothed unrolling Hui Li Jinghan Jia S. Liang Yuguang Yao S. Ravishankar Sijia Liu 11 4 0 14 Mar 2023
Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis Zhu Wang Sourav Medya Sathya Ravi VLM 17 0 0 11 Feb 2023
Global Convergence Rate of Deep Equilibrium Models with General Activations Lan V. Truong 37 2 0 11 Feb 2023
Learning to Solve Integer Linear Programs with Davis-Yin Splitting Daniel McKenzie Samy Wu Fung Howard Heaton 30 4 0 31 Jan 2023
Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration Peng Qiao Sidun Liu Tao Sun Ke Yang Y. Dou ViT 18 1 0 29 Jan 2023
A Neural-Network-Based Convex Regularizer for Inverse Problems Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 11 26 0 22 Nov 2022
Deep equilibrium models as estimators for continuous latent variables Russell Tsuchida Cheng Soon Ong 22 8 0 11 Nov 2022
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems Rahul Mourya João F. C. Mota 11 2 0 06 Nov 2022
Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model Jun-Hao Hu S. Shoushtari Zihao Zou Jiaming Liu Zhixin Sun Ulugbek S. Kamilov 38 4 0 01 Nov 2022
Loop Unrolled Shallow Equilibrium Regularizer (LUSER) -- A Memory-Efficient Inverse Problem Solver Peimeng Guan Jihui Jin J. Romberg Mark A. Davenport 16 4 0 10 Oct 2022
Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees Weijie Gan Chunwei Ying Parna Eshraghi Tongyao Wang C. Eldeniz Yuyang Hu Jiaming Liu Yasheng Chen H. An Ulugbek S. Kamilov 32 4 0 07 Oct 2022
Learning Variational Models with Unrolling and Bilevel Optimization Christoph Brauer Niklas Breustedt T. Wolff D. Lorenz SSL 17 3 0 26 Sep 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors S. Shoushtari Jiaming Liu Yuyang Hu Ulugbek S. Kamilov 19 6 0 26 Jul 2022
Deep equilibrium networks are sensitive to initialization statistics Atish Agarwala S. Schoenholz 6 7 0 19 Jul 2022
Learning Sparsity-Promoting Regularizers using Bilevel Optimization Avrajit Ghosh Michael T. McCann Madeline Mitchell S. Ravishankar 18 4 0 18 Jul 2022
GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction Batu Mehmet Ozturkler Arda Sahiner Tolga Ergen Arjun D Desai Christopher M. Sandino S. Vasanawala John M. Pauly Morteza Mardani Mert Pilanci 8 4 0 18 Jul 2022
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning Martin Genzel Ingo Gühring Jan Macdonald M. März 17 24 0 14 Jun 2022
Learned reconstruction methods with convergence guarantees Subhadip Mukherjee A. Hauptmann Ozan Oktem Marcelo Pereyra Carola-Bibiane Schönlieb 17 50 0 11 Jun 2022
Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery S. K. Shastri Rizwan Ahmad Christopher A. Metzler Philip Schniter 14 7 0 09 Jun 2022
Memory-efficient model-based deep learning with convergence and robustness guarantees Aniket Pramanik M. Zimmerman M. Jacob 3DV 11 13 0 06 Jun 2022
Global Convergence of Over-parameterized Deep Equilibrium Models Zenan Ling Xingyu Xie Qiuhao Wang Zongpeng Zhang Zhouchen Lin 11 12 0 27 May 2022
Online Deep Equilibrium Learning for Regularization by Denoising Jiaming Liu Xiaojian Xu Weijie Gan S. Shoushtari Ulugbek S. Kamilov 24 26 0 25 May 2022
Explainable AI via Learning to Optimize Howard Heaton Samy Wu Fung 19 14 0 29 Apr 2022
Connections between Deep Equilibrium and Sparse Representation Models with Application to Hyperspectral Image Denoising A. Gkillas D. Ampeliotis K. Berberidis 11 15 0 29 Mar 2022
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging Kerstin Hammernik Thomas Kustner Burhaneddin Yaman Zhengnan Huang Daniel Rueckert Florian Knoll Mehmet Akçakaya PINN MedIm AI4CE 11 64 0 23 Mar 2022
HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction Zalan Fabian Berk Tinaz Mahdi Soltanolkotabi 25 50 0 15 Mar 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems Maksym Neyra-Nesterenko Ben Adcock 20 9 0 02 Mar 2022
Monotonically Convergent Regularization by Denoising Yuyang Hu Jiaming Liu Xiaojian Xu Ulugbek S. Kamilov 19 8 0 10 Feb 2022
Mathematical Cookbook for Snapshot Compressive Imaging Yaping Zhao 3DGS 17 6 0 09 Feb 2022
Learning Proximal Operators to Discover Multiple Optima Lingxiao Li Noam Aigerman Vladimir G. Kim Jiajin Li Kristjan Greenewald Mikhail Yurochkin Justin Solomon 26 1 0 28 Jan 2022
Deep Equilibrium Models for Video Snapshot Compressive Imaging Yaping Zhao Siming Zheng Xin Yuan 40 19 0 18 Jan 2022
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI Zhuoxu Cui Jing Cheng Qi Zhu Yuanyuan Liu Seng Jia ... Ziwen Ke Wenqi Huang Haifeng Wang Yanjie Zhu Dong Liang 17 8 0 18 Dec 2021
Supervised learning of analysis-sparsity priors with automatic differentiation Hashem Ghanem Joseph Salmon Nicolas Keriven Samuel Vaiter 17 2 0 15 Dec 2021
Joint inference and input optimization in equilibrium networks Swaminathan Gurumurthy Shaojie Bai Zachary Manchester J. Zico Kolter 24 19 0 25 Nov 2021
Improved Model based Deep Learning using Monotone Operator Learning (MOL) Aniket Pramanik M. Jacob 14 7 0 22 Nov 2021
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology Rahul Ghosh Arvind Renganathan Kshitij Tayal Xiang Li A. Khandelwal X. Jia C. Duffy J. Neiber Vipin Kumar 14 23 0 14 Sep 2021
Fixed points of nonnegative neural networks Tomasz Piotrowski Renato L. G. Cavalcante Mateusz Gabor 42 7 0 30 Jun 2021
Learning the optimal Tikhonov regularizer for inverse problems Giovanni S. Alberti E. De Vito Matti Lassas Luca Ratti Matteo Santacesaria 15 30 0 11 Jun 2021
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition Jiaming Liu M. Salman Asif B. Wohlberg Ulugbek S. Kamilov 24 38 0 07 Jun 2021
Operator Splitting for Learning to Predict Equilibria in Convex Games Daniel McKenzie Howard Heaton Qiuwei Li Samy Wu Fung Stanley Osher Wotao Yin 22 0 0 02 Jun 2021
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models Zaccharie Ramzi Florian Mannel Shaojie Bai Jean-Luc Starck P. Ciuciu Thomas Moreau 21 28 0 01 Jun 2021
JFB: Jacobian-Free Backpropagation for Implicit Networks Samy Wu Fung Howard Heaton Qiuwei Li Daniel McKenzie Stanley Osher W. Yin FedML 25 83 0 23 Mar 2021
Stabilizing Deep Tomographic Reconstruction Weiwen Wu Dianlin Hu W. Cong Hongming Shan Shaoyu Wang Chuang Niu Pingkun Yan Hengyong Yu V. Vardhanabhuti Ge Wang OOD 12 10 0 04 Aug 2020