Algorithm Unrolling

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  1. NanoMorph-3D: An End-to-End Physics-Driven Unrolling Framework for Nanomaterial Reconstruction

    Aug 4, 2026Beiyuan Zhang, Hesong Li, Ziqi Wu +23D ReconstructionAlgorithm Unrolling

    Beijing Institute of Technology Beijing, China

  2. Integrated Forward-Inverse Network for Lensless Image Reconstruction

    Jul 6, 2026Donggeon Bae, Jaewoo Jung, Yong Guk Kang +6Image ReconstructionComputational Imaging

    Department of Mechanical Engineering, Seoul National University, Republic of Korea · School of Mechanical and Aerospace Engineering/SNU-IAMD, Seoul National University, Republic of Korea · Department of Electrical and Electronic Engineering, Yonsei University, Republic of Korea +1

  3. Leveraging Phase Information to Boost Unrolled Network Learning for Image Deblurring

    Jun 30, 2026Samira Malek, Haichuan Zhang, Chul Lee +1Image DeblurringFrequency-Domain Image Processing

    Pennsylvania State University, University Park, PA 16802, USA · Dongguk University, Seoul 04620, South Korea

  4. Scalable Deep Unfolding of Conic Optimizers

    Jun 11, 2026Alex Oshin, Rahul Vodeb Ghosh, Evangelos A. TheodorouSemidefinite ProgrammingAlgorithm Unrolling

    Georgia Institute of Technology

  5. Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging

    Jun 5, 2026Marco Morik, Xiao Ruiting, Shinichi Nakajima +2ElectroencephalographyBayesian Inverse Problems

    Berlin Institute for the Foundations of Learning and Data (BIFOLD), Germany · Technische Universität Berlin, Germany · RIKEN Center for Advanced Intelligence Project (AIP), Japan +2

  6. DIFFRACT: Neuralized Utility Maximization for Wireless Networks by Differentiable Programming

    Jun 5, 2026Chee Wei Tan, Siya ChenAlgorithm UnrollingWireless Resource Allocation

    Nanyang Technological University, Singapore, Nanyang Ave., Singapore · Department of Computer Science, City University of Hong Kong, Hong Kong

  7. Physics-Aware Linearized ADMM and Its Unrolling

    Jun 1, 2026Satoshi Takabe, Shunta Arai, Tadashi WadayamaAlternating Direction Method of MultipliersAlgorithm Unrolling

    Department of Computer Science Institute of Science Tokyo Tokyo, Japan · Center for Advanced Intelligence Project RIKEN Tokyo, Japan · Department of Engineering Nagoya Institute of Technology Nagoya, Japan

  8. Block-Wise Differentiable Sinkhorn Attention: Tail-Refinement Gradients with a Gap-Aware Dustbin Bridge

    Apr 28, 2026Dylan FordeAutomatic DifferentiationTransformer Attention

    Independent Researcher

  9. HUANet: Hard-Constrained Unrolled ADMM for Constrained Convex Optimization

    Apr 14, 2026Trinh Tran, Binh Nguyen, Truong X. NghiemLearning to OptimizeAlternating Direction Method of Multipliers

    Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USA

  10. Learned iterative networks: An operator learning perspective

    Dec 9, 2025Andreas Hauptmann, Ozan ÖktemImage ReconstructionComputational Imaging

    Research Unit of Mathematical Sciences, University of Oulu, Finland · Department of Computer Science, University College London, United Kingdom · Department of Mathematics, KTH - Royal Institute of Technology, Sweden

  11. A Tunable Despeckling Neural Network Stabilized via Diffusion Equation

    Nov 24, 2024Yi Ran, Zhichang Guo, Jia Li +3Adversarial RobustnessAlgorithm Unrolling

    School of Mathematics, Harbin Institute of Technology, 150001 Harbin, China · Helmholtz Imaging, Deutsches Elektronen-Synchrotron DESY, 22607 Hamburg, Germany · Fachbereich Mathematik, Universität Hamburg, 20146 Hamburg, Germany