Deep Unfolding Networks

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2 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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Muon-C: Operator-Aligned Muon for Convolutional Kernels
Sep 9, 2026Jiaxin Qing, Lexin LiMuon Deep Unfolding Networks
University of California, Berkeley Berkeley, CA 94720-1776, USA
AXS-Net: Interpretable Deep Unfolding for Hyperspectral Image Denoising via Spectral Basis Unmixing and Structured Noise Refinement
Sep 8, 2026Ziyi Guan, Jianping Zhang, Zheng YangHyperspectral Image Iterative Denoising Methods
Xiangtan University, Xiangtan, Hunan, China
Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields
Aug 10, 2026Yupei Nie, Lei Wang, Jiasen LiuCovariance Probabilistic Operator Learning
School of Mathematics and Physics, North China Electric Power University, Beijing 102206, P.R. China · School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, P.R. China
A Drift Stable Quantum Federated Learning for Intelligent Services
Jul 22, 2026Shanika Iroshi Nanayakkara, Shiva Raj PokhrelFederated Learning Quantum Neural Networks
School of IT, Deakin University, VIC 3125, Burwood, Australia
Physics Closure Matters for Machine Olfaction: A Maxwell-Stefan Graph Solver for Identifiable Dynamic Gas Unmixing
Jul 20, 2026Yue Shi, Liangxiu Han, Xin Zhang +1Smells Deep Unfolding Networks
Department of Computing and Mathematics, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester M1 5GD, U.K.
LCPNet: Latent Consistent Proximal Unfolding Network for Infrared Small Target Detection
Jul 6, 2026Tianfang Zhang, Fengyi Wu, Lei Li +4Infrared Small Target Detection Infrared
Department of Automation, Tsinghua University, Beijing, 100190, China · School of Information and Communication Engineering and the Laboratory of Imaging Detection and Intelligent Perception, University of Electronic Science and Technology of China, Chengdu, 610054, China · School of Artificial Intelligence, Beijing Institute of Technology, Beijing, 100081, China
Leveraging Phase Information to Boost Unrolled Network Learning for Image Deblurring
Jun 30, 2026Samira Malek, Haichuan Zhang, Chul Lee +1Gaussian Deblurring Deep Unfolding Networks
Pennsylvania State University, University Park, PA 16802, USA · Dongguk University, Seoul 04620, South Korea
A Dual-domain Refinement Network with FBP-based Jacobian Learning for Sparse-view Dual-Energy CT Material Decomposition
Jun 29, 2026Qian Liu, Xiaohong Fan, Ke Chen +3Cone-Beam Computed Tomography Deep Unfolding Networks
School of Mathematics and Computational Science, Xiangtan University, National Center for Applied Mathematics in Hunan, Key Laboratory for Intelligent Computing and Information Processing of the Ministry of Education, Xiangtan 411105, China · College of Mathematical Medicine, Zhejiang Normal University, Jinhua 321004, China · Department of Mathematics and Statistics, University of Strathclyde, G1 1XH Glasgow, U.K. +1
Differential Unfolding: Efficient Unfolding Reconstruction for Video Snapshot Compressive Imaging
Jun 23, 2026Muyuan Zhang, Jiancheng Zhang, Haijin Zeng +1Deep Unfolding Networks Video Diffusion Models
Northwestern Polytechnical University, Xi’an, China · Harbin Institute of Technology (Shenzhen), Shenzhen, China
Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction
Jun 19, 2026Efe Ilıcak, Baris Imre, Chloé Najac +4Magnetic Resonance Imaging Reconstruction Deep Unfolding Networks
Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
Deep-Unfolded Coordination
Jun 18, 2026Hunter Kuperman, Minchan Jung, Rahul V. Ghosh +2Deep Unfolding Networks Neural Network Optimization
Autonomous Control and Decision Systems Laboratory Georgia Institute of Technology United States
Towards UAV Image Dehazing: A UAV Atmospheric Scattering Model, Benchmark, and Geometry-Aware Deep Unfolding Network
Jun 15, 2026Wenxuan Fang, Jiangwei Weng, Yu Zheng +5Single Image Dehazing Aerial Imagery
School of Computer Science and Engineering, Nanjing University of Science and Technology
Separable Neural Architectures as Physical World Models: from Mathematical Theory to Applications
Jun 12, 2026Reza T Batley, Andrew Kichline, Sourav SahaNeural Partial Differential Equation Solvers Partial Differential Equations
Kevin T. Crofton Department of Aerospace and Ocean Engineering, Virginia Polytechnic Institute and State University, 1600 Innovation Drive, Blacksburg, 24060, VA, United States
Scalable Deep Unfolding of Conic Optimizers
Jun 11, 2026Alex Oshin, Rahul Vodeb Ghosh, Evangelos A. TheodorouDeep Unfolding Networks Convex Relaxation
Georgia Institute of Technology
Deep Unfolded Latent Optimally Partitioned-l2/l1 Networks for Data-driven Block-Sparse Recovery
Jun 10, 2026Takanobu Furuhashi, Hidekata Hontani, Qibin Zhao +1Deep Unfolding Networks Sparsity
Nagoya Institute of Technology · RIKEN Center for Advanced Intelligence Project
Variational Deep Unfolding with Mamba-Based Nonlocal Modeling for Underwater Image Enhancement
Jun 10, 2026Daniel Torres, Julia Navarro, Catalina Sbert +1Underwater Image Enhancement Methods Deep Unfolding Networks
Institute of Applied Computing and Community Code (IAC3) · Dept. of Mathematics and Computer Science, Universitat de les Illes Balears, Cra. de Valldemossa km. 7.5, E-07122 Palma, Spain
Physics-Guided Deep Unfolding for Blind Cross-Sensor Spectral Super-Resolution via Learning the Spectral Transformation Function
Jun 4, 2026Zhaolin Li, Jinsong Chen, Shanxin Guo +3Hyperspectral Image Super-Resolution Hyperspectral Image
a Center for Geo-Spatial Information, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, PR China · c Shenzhen Engineering Laboratory of Ocean Environmental Big Data Analysis and Application, Shenzhen, 518055, PR China · b University of Chinese Academy of Sciences, Beijing 100049, China
ErA: Error-Aware Deep Unrolling Network for Single Image Defocus Deblurring
Jun 4, 2026Tu Vo, Chan Y. ParkGaussian Deblurring Deep Unfolding Networks
KC Machine Learning Lab Seoul, South Korea 06181
Beyond Single Solution: Multi-Hypothesis Collaborative Deep Unfolding Network for Image Compressive Sensing
Jun 2, 2026Wenxue Cui, Hualin Li, Yuhang Qin +3Deep Unfolding Networks Multi-Scale Convolution
Harbin Institute of Technology, Harbin, China · Harbin Institute of Technology Suzhou Research Institute, Suzhou, China
Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding
May 29, 2026Ruiqi Kong, He Chen, Xiaojun LinOpen Radio Access Networks Physics-Guided Machine Learning
Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations
May 13, 2026Zhonghao Li, Chaoyu Liu, Qian ZhangNeural Partial Differential Equation Solvers Bayesian Inverse Problems
School of Science, Harbin Institute of Technology, Shenzhen, China · Department of Theoretical Physics and Applied Mathematics, University of Cambridge, Cambridge, United Kingdom
Deep Probabilistic Unfolding for Quantized Compressive Sensing
May 12, 2026Gang Qu, Ping Wang, Siming Zheng +1Deep Unfolding Networks Mamba-Based Models
Westlake University, School of Engineering, Hangzhou, Zhejiang, China · Vivo Mobile Communication Co., Ltd., Hangzhou, Zhejiang, China.
Dual-Path Hyperprior Informed Deep Unfolding Network for Image Compressive Sensing
May 10, 2026Tianyi Lu, Wenxue Cui, Shaohui LiuDeep Unfolding Networks Image Reconstruction
Harbin Institute of Technology
Combined Dictionary Unfolding Network with Gradient-Adaptive Fidelity for Transferable Multi-Source Fusion
May 1, 2026Ge Luo, Jun-Jie Huang, Qi Yu +6Visible Image Fusion Deep Unfolding Networks
Flow-Matching Guided Deep Unfolding for Hyperspectral Image Reconstruction
Oct 2, 2025Yi Ai, Yuanhao Cai, Yulun Zhang +2Deep Unfolding Networks Hyperspectral Image
School of Computer Science, Shanghai Jiao Tong University, China · Department of Computer Science, Johns Hopkins University, USA · School of Engineering, Westlake University, China
Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding
Sep 10, 2025Tam Thuc Do, Philip A. Chou, Gene CheungPoint Clouds Deep Unfolding Networks
department of EECS, York University, 4700 Keele Street, Toronto, M3J 1P3, Canada

Sep 9, 2026, cs.LGJ/K move · Enter open · S save

Muon-C: Operator-Aligned Muon for Convolutional Kernels

Jiaxin Qing, Lexin Li

University of California, Berkeley Berkeley, CA 94720-1776, USA

Muon Deep Unfolding Networks Kernel Method Optimizer Design

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Muon replaces matrix momentum with an approximately orthogonal polar direction, but its geometry depends on the matrix representation. For convolution, standard unfolding describes a local patch map rather than the convolution operator. We introduce Muon-C, an operator-aligned optimizer that represents kernel momentum as frequency-wise channel-transfer matrices, polarizes these blocks independently, and uses a critical Fourier grid to return updates exactly to the original finite kernel support. We show that the new geometry arises from combining the block partition and Fourier coordinates. The exact-polar direction is a linear minimization oracle under the critically sampled convolution norm. Its worst-case guarantee relative to the continuous convolution-operator norm is never weaker than unfolding and is strictly stronger for

3\times3

kernels. On CIFAR-10 flow matching with matched applied-update RMS, Muon-C reaches 9.87 FID at 40k iterations, compared with 22.26 for unfolded Muon and 51.31 for Adam. It reaches their final quality using

0.62\times

and

0.64\times

their model FLOPs, respectively. Under equal tuning budgets, Muon-C achieves 3.42 FID. Gains persist across data scales and transfer to classification across convolutional architectures.

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Latest papers 26