Dynamic Mode Decomposition

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2 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

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  1. PI-AMFM: Permutation-Invariant Learning for Variable-Cardinality AM-FM Mode Decomposition in Biomedical Signal Analysis

    Sep 30, 2026Youngsun Kong, Ki H. ChonDynamic Mode DecompositionPhysiological Signals

    Biomedical Engineering, University of Connecticut, Storrs, CT 06029, USA

  2. Functional dynamic mode decomposition: Learning infinite-dimensional systems from data

    Sep 24, 2026Stefan Klus, Eirini IoannouDynamic Mode DecompositionDynamical Systems

    School of Mathematical & Computer Sciences, Heriot–Watt University, Edinburgh, UK · Maxwell Institute for Mathematical Sciences, University of Edinburgh and Heriot–Watt University, Edinburgh, UK

  3. High-Fidelity Digital Twin Data Models by Randomized Dynamic Mode Decomposition and Deep Learning with Applications in Fluid Dynamics

    Sep 15, 2026Diana A. BistrianDigital TwinsDynamic Mode Decomposition

    University Politehnica Timisoara, Department of Electrical Engineering and Industrial Informatics, Romania

  4. DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition

    Aug 13, 2026Amogh Joshi, Animesh Mukherjee, Sergey UtyuzhnikovDecompositionDynamic Mode Decomposition

    IIT Kharagpur, India · University of Manchester, UK

  5. IMFACT: Counterfactual Explanations for Time Series via Intrinsic Mode Function Substitution

    Aug 5, 2026Udo Schlegel, Julian Rakuschek, Thomas Seidl +3Counterfactual ExplanationTime-Series Classification

    LMU Munich, Munich, Germany · TU Graz, Institute of Visual Computing, Graz, Austria · Munich Center for Machine Learning (MCML), Munich, Germany +3

  6. Detecting high-frequency brain disorder signals using dynamic mode decomposition from EEG

    Aug 3, 2026Jacob Kang, Jong-Hyeon SeoElectroencephalographyDynamic Mode Decomposition

    Fischell Department of Bioengineering, University of Maryland, College Park, MD, United States · School of Basic Sciences, Hanbat National University, Daejeon, Republic of Korea

  7. Dynamics-aware identification of governing equations from sparse and noisy data

    Jul 31, 2026Pongpisit Thanasutives, Yoshinobu KawaharaSystem IdentificationDynamic Mode Decomposition

    Center for Advanced Intelligence Project (AIP), RIKEN, Osaka, Japan · 2Graduate School of Information Science and Technology, The University of Osaka, Osaka, Japan

  8. Coordinated Disentanglement with Iterative Mode Discovery Under Hidden Correlations

    Jul 19, 2026Rong Hu, Ling ChenRepresentation LearningDynamic Mode Decomposition

    State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China · College of Computer Science and Technology, Zhejiang University, Hangzhou, China

  9. Cluster-Weighted EDMD

    Jul 14, 2026Lorenzo Tomaz, Judd Rosenblatt, Flavio Kicis +2Dynamic Mode DecompositionKoopman Operator

    AE Studio

  10. Koopman operator theory: fundamentals, control, and applications

    Jul 2, 2026Igor Mezić, Jorge Cortés, Karl Worthmann +2Koopman OperatorDynamic Mode Decomposition

    Department of Mechanical Engineering, University of California, Santa Barbara, USA · Department of Mechanical and Aerospace Engineering, University of California, San Diego, USA · Optimization-based Control Group, TU Ilmenau, Germany +2

  11. Residual-Guided Dictionary Learning for Spectrally Accurate Koopman Approximation

    Jun 27, 2026George Coote, Matthew J. ColbrookKoopman OperatorUnsupervised Dictionary Learning

    Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Road, CB3 0WA, United Kingdom

  12. Topological Data Analysis for High-Dimensional Dynamic Process Monitoring

    Jun 18, 2026Angan Mukherjee, Tyler A. Soderstrom, Michael J. Kurtz +1Dynamic Mode DecompositionTopology

    Department of Chemical & Biological Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53706, USA · ExxonMobil Technology and Engineering, 22777 Springwoods Village Pkwy, Spring, TX 77389, USA

  13. Multiscale POD of Transformer Attention Fields: Scale-Selective Analysis via Morlet Scalogram

    Jun 4, 2026Athanasios ZerisTransformer AttentionDynamic Mode Decomposition

    Independent Researcher, Athens, Greece.

  14. Deep Embedded Multiplicative DMD for Algebra-Preserving Koopman Learning

    Jun 3, 2026Kelan Gray, Finlay Brown, Nicolas Boullé +1Koopman OperatorDynamic Mode Decomposition

    Department of Mathematics, Imperial College London, London, SW7 2AZ, UK. · Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, CB3 0WA, UK.

  15. A Systematic Evaluation of Current Architectures in Wind Power Forecasting

    Jun 1, 2026Vinicius Bortolini, Gilson Adamczuk Oliveira, Erick Oliveira Rodrigues +1Offshore Wind TurbineWind

    Industrial and Systems Engineering Graduate Program (PPGEPS), Federal University of Technology Parand (UTFPR), Pato Branco, Parand $5503-390, Brazil

  16. Wavelet-Based Observables for Koopman Analysis: An Extended Dynamic Mode Decomposition Framework

    May 14, 2026Cankat Tilki, Serkan GugercinDynamic Mode DecompositionKoopman Operator

    Department of Mathematics, Virginia Tech, Blacksburg, VA - 24061.

  17. Measuring and Decomposing Mode Separation via the Canonical Diffusion

    May 9, 2026Shaul Tolkovsky, Ori Meidler, Or ZukDispersionDynamic Mode Decomposition

    Department of Statistics and Data Science Hebrew University of Jerusalem

  18. Dynamic Mode Decomposition along Depth in Vision Transformers

    May 8, 2026Nishant Suresh Aswani, Saif Eddin JabariSelf-Supervised Vision TransformersVision Transformer

    NYU Tandon & NYU Abu Dhabi

  19. Distributional Spectral Diagnostics for Localizing Grokking Transitions

    May 7, 2026Ziyue Wang, Yufeng Ying, Takafumi KanamoriGrokkingTransformer Residual Streams

    Institute of Science Tokyo · University of Science and Technology of China

  20. Hybrid Congestion Classification Framework Using Flow-Guided Attention and Empirical Mode Decomposition

    May 6, 2026Eugene Kofi Okrah Denteh, Blessing Agyei Kyem, Joshua Kofi Asamoah +1Optical FlowSpatiotemporal Representations

    Civil, Construction and Environmental Engineering Department, North Dakota State University, North Dakota, United States of America

  21. Learning Koopman operators for coupled systems via information on governing equations of subsystems

    May 3, 2026Tatsuya Naoi, Jun OhkuboKoopman OperatorDynamic Mode Decomposition

    Graduate School of Science and Engineering, Saitama University, Sakura, Saitama, 338-8570, Japan

  22. Complex Diffusion Maps with ωω-Parameterized Kernels Revealing Inherent Harmonic Representations

    May 3, 2026Tongzhen Dang, Weiyang Ding, Michael K. NgDynamic Mode DecompositionKernel Method

    Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China. · Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China. · Department of Mathematics, Hong Kong Baptist University, Hong Kong, China.

  23. Equation-Free Digital Twins for Nonlinear Structural Dynamics

    May 1, 2026Mohammad Mahdi Abaei, Ahmad BahooToroody, Arttu Polojärvi +4Dynamic Mode DecompositionOffshore Wind Turbine

    Department of Mechanical Engineering, Marine Technology and Arctic Group, Aalto University, Finland · Independent Expert, Digital Twin Technology, Ribe, Denmark · Institute for Risk and Reliability, Leibniz University Hannover, Germany

  24. Dictionary learning for Kernel EDMD

    Apr 28, 2026Erik Lien Bolager, Boumediene Hamzi, Houman Owhadi +2Dynamic Mode DecompositionKernel Method

    School of Computation, Information and Technology, Munich Data Science Institute, Munich Center for Machine Learning, Technical University of Munich, Germany · Department of Computing and Mathematical Sciences, Caltech, USA · The Alan Turing Institute, UK +1

  25. Modulation Feature Enhancement with a Multi-Stage Attention Network for Underwater Acoustic Target Recognition

    Apr 24, 2026Jiaping Yu, Shefeng Yan, Linlin Mao +2Underwater Acoustic Target RecognitionDynamic Mode Decomposition

  26. Few-Shot Specific Emitter Identification via Integrated Complex Variational Mode Decomposition and Spatial Attention Transfer

    Dec 18, 2025Chenyu Zhu, Zeyang Li, Ziyi Xie +1Spatial AttentionDynamic Mode Decomposition

    School of Information Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China · School of Electrical Engineering and Computer Science, and the Digital Futures, KTH Royal Institute of Technology, 114 28 Stockholm, Sweden · Ranplan Wireless Network Design Ltd., Cambridge, CB23 3UY, U.K.

  27. HyDRA: A Hybrid Dual-Mode Network for Closed- and Open-Set RFFI with Optimized VMD

    Jul 16, 2025Hanwen Liu, Yuhe Huang, Yifeng Gong +2FingerprintDual-Path Network

    School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, 518107, China