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
An incremental algorithm for non-convex AI-enhanced medical image processing Elena Morotti 34 0 0 13 May 2025
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems Matthias Chung B. Peters Michael Solomon 34 0 0 10 May 2025
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 45 0 0 26 Apr 2025
Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks Sonia Laguna Lin Zhang Can Deniz Bezek Monika Farkas Dieter Schweizer Rahel A. Kubik-Huch O. Goksel OOD 30 0 0 15 Apr 2025
Graph Attention-Driven Bayesian Deep Unrolling for Dual-Peak Single-Photon Lidar Imaging Kyungmin Choi JaKeoung Koo S. Mclaughlin Abderrahim Halimi 3DPC 3DV 63 0 0 03 Apr 2025
Universal Architectures for the Learning of Polyhedral Norms and Convex Regularizers M. Unser Stanislas Ducotterd 40 0 0 24 Mar 2025
Recovering Pulse Waves from Video Using Deep Unrolling and Deep Equilibrium Models Vineet Shenoy Suhas Lohit Hassan Mansour Rama Chellappa Tim K. Marks 45 0 0 21 Mar 2025
Deep End-to-End Posterior ENergy (DEEPEN) for image recovery Jyothi Rikhab Chand M. Jacob DiffM 43 0 0 21 Mar 2025
Patch-based learning of adaptive Total Variation parameter maps for blind image denoising Claudio Fantasia Luca Calatroni Xavier Descombes Rim Rekik 36 0 0 20 Mar 2025
Parameter-free structure-texture image decomposition by unrolling Laura Girometti Jean-François Aujol Antoine Guennec Yann Traonmilin 48 0 0 17 Mar 2025
Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry Sai Sumedh R. Hindupur Ekdeep Singh Lubana Thomas Fel Demba Ba 42 4 0 03 Mar 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 66 0 0 08 Feb 2025
Deep Unfolding Multi-modal Image Fusion Network via Attribution Analysis Haowen Bai Zixiang Zhao Jiangshe Zhang Baisong Jiang Lilun Deng Yukun Cui Shuang Xu Chunxia Zhang 60 2 0 03 Feb 2025
Learning Point Spread Function Invertibility Assessment for Image Deconvolution Romario Gualdrón-Hurtado Roman Jacome Sergio Urrea Henry Arguello Luis Gonzalez 86 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
LASE: Learned Adjacency Spectral Embeddings Sofía Pérez Casulo Marcelo Fiori Federico Larroca Gonzalo Mateos AI4TS GNN 33 0 0 23 Dec 2024
Stability Bounds for the Unfolded Forward-Backward Algorithm Émilie Chouzenoux Cecile Della Valle J. Pesquet 26 0 0 23 Dec 2024
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning Long Zhou Fereshteh Shakeri Aymen Sadraoui Mounir Kaaniche J. Pesquet Ismail Ben Ayed VLM 84 0 0 21 Dec 2024
GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-grained Video-language Learning Y. Wang Zhikang Zhang Jue Wang D. Fan Zhenlin Xu Linda Liu Xiang Hao Vimal Bhat Xinyu Li VLM 82 1 0 10 Dec 2024
Deep-Unrolling Multidimensional Harmonic Retrieval Algorithms on Neuromorphic Hardware Vlad-Costin Andrei Alexandru P. Drăguţoiu Gabriel Béna Mahmoud Akl Yin Li Matthias Lohrmann U. Mönich Holger Boche 66 0 0 05 Dec 2024
Deep Guess acceleration for explainable image reconstruction in sparse-view CT E. L. Piccolomini Davide Evangelista E. Morotti OOD 72 1 0 02 Dec 2024
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models Yunzhe Hu Difan Zou Dong Xu 74 1 0 26 Nov 2024
l0-Regularized Sparse Coding-based Interpretable Network for Multi-Modal Image Fusion Gargi Panda Soumitra Kundu Saumik Bhattacharya Aurobinda Routray 28 0 0 07 Nov 2024
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective Haixiang Sun Ye Shi 39 0 0 30 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
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 29 0 0 24 Oct 2024
Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration Zhiyu Zhu Jinhui Hou Hui Liu Huanqiang Zeng Junhui Hou 40 0 0 07 Oct 2024
Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction Xiaojian Xu Marc Klasky Michael T. McCann Jason Hu Jeffrey A. Fessler 3DPC MedIm 18 0 0 29 Sep 2024
Accelerating Multi-Block Constrained Optimization Through Learning to Optimize Ling Liang Cameron Austin Haizhao Yang 24 0 0 25 Sep 2024
Invertible ResNets for Inverse Imaging Problems: Competitive Performance with Provable Regularization Properties Clemens Arndt Judith Nickel 31 0 0 20 Sep 2024
Constructing an Interpretable Deep Denoiser by Unrolling Graph Laplacian Regularizer Seyed Alireza Hosseini Tam Thuc Do Gene Cheung Yuichi Tanaka AI4CE 26 0 0 10 Sep 2024
Reliable Deep Diffusion Tensor Estimation: Rethinking the Power of Data-Driven Optimization Routine Jialong Li Zhicheng Zhang Yunwei Chen Qiqi Lu Ye Wu Xiaoming Liu QianJin Feng Yanqiu Feng Xinyuan Zhang DiffM MedIm 33 0 0 04 Sep 2024
SINET: Sparsity-driven Interpretable Neural Network for Underwater Image Enhancement Gargi Panda Soumitra Kundu Saumik Bhattacharya Aurobinda Routray 41 0 0 02 Sep 2024
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures Michael Unser Alexis Goujon Stanislas Ducotterd 29 2 0 23 Aug 2024
Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective Zifan Wang Binghui Zhang Meng Pang Yuan Hong Binghui Wang FedML 41 0 0 22 Aug 2024
Preference-Optimized Pareto Set Learning for Blackbox Optimization Zhang Haishan Diptesh Das Koji Tsuda 41 1 0 19 Aug 2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning Frederik Hoppe C. M. Verdun Hannah Laus Felix Krahmer Holger Rauhut UQCV 29 1 0 18 Jul 2024
LIP-CAR: contrast agent reduction by a deep learned inverse problem Davide Bianchi Sonia Colombo Serra Davide Evangelista Pengpeng Luo E. Morotti Giovanni Valbusa MedIm 32 0 0 15 Jul 2024
RMS-FlowNet++: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds Ramy Battrawy René Schuster Didier Stricker 3DPC 48 2 0 01 Jul 2024
Highly Constrained Coded Aperture Imaging Systems Design Via a Knowledge Distillation Approach Leon Suarez-Rodriguez Roman Jacome Henry Arguello 29 0 0 25 Jun 2024
Pivotal Auto-Encoder via Self-Normalizing ReLU Nelson Goldenstein Jeremias Sulam Yaniv Romano 34 2 0 23 Jun 2024
Graph Structure Learning with Interpretable Bayesian Neural Networks Max Wasserman Gonzalo Mateos CML 48 6 0 20 Jun 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
Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors Tam Thuc Do Parham Eftekhar Seyed Alireza Hosseini Gene Cheung Philip A. Chou 31 0 0 06 Jun 2024
UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction Ishak Ayad Cécilia Tarpau J. Cebeiro Mai K. Nguyen 29 0 0 05 Jun 2024
A Global Geometric Analysis of Maximal Coding Rate Reduction Peng Wang Huikang Liu Druv Pai Yaodong Yu Zhihui Zhu Q. Qu Yi-An Ma 34 6 0 04 Jun 2024
Compact Optimality Verification for Optimization Proxies Wenbo Chen Haoruo Zhao Mathieu Tanneau Pascal Van Hentenryck 38 0 0 31 May 2024
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient Natavsa Tagasovska Vladimir Gligorijević Kyunghyun Cho Andreas Loukas DiffM 52 4 0 28 May 2024