Spectral Methods

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17 papers in the last four weeks, up 42% on the four weeks before. 0.2% of all new papers.

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  1. Spectral Kernel Dynamics for Planetary Surface Graphs: Distinction Dynamics and Topological Conservation

    Apr 17, 2026Jnaneshwar DasDynamical SystemsSpectral Methods

    School of Earth and Space Exploration, Arizona State University

  2. Algebraic Diversity: Group-Theoretic Spectral Estimation from Single Observations

    Apr 4, 2026Mitchell A. ThorntonSpectral Methods

    Richardson, TX 75080 USA

  3. A Spectral Decomposition Framework for Multiscale Nonlinear Dimensionality Reduction

    Apr 2, 2026Zeyang Huang, Angelos Chatzimparmpas, Thomas Höllt +1Dimensionality ReductionSpectral Methods

    Linköping University, Sweden · Utrecht University, The Netherlands · University of Bergen, Norway +1

  4. Model Selection and Parameter Estimation for Multidimensional Gaussian Mixture Models with a Common Covariance Matrix

    Mar 20, 2026Xinyu Liu, Hai ZhangGaussian Mixture ModelsSpectral Methods

    Department of Mathematics, Hong Kong University of Science and Technology (HKUST) · HKUST-Shenzhen-Hong Kong Collaborative Innovation Research Institute

  5. Spectral Hierarchy of the Cosmic Web

    Mar 16, 2026Francisco-Shu Kitaura, Francesco SinigagliaHierarchical ClassificationSpectral Methods

    Instituto de Astrofísica de Canarias, s/n, E-38205, La Laguna, Tenerife, Spain · Departamento de Astrofísica, Universidad de La Laguna, E-38206, La Laguna, Tenerife, Spain · Institute for Fundamental Physics of the Universe, Via Beirut 2, I-34151 Trieste, Italy +3

  6. Regular Fourier Features for Nonstationary Gaussian Processes

    Feb 26, 2026Arsalan Jawaid, Abdullah Karatas, Jörg SeewigFourier Feature EmbeddingsGaussian Processes

    Institute of Measurement and Sensor Technology, University of Kaiserslautern-Landau, Kaiserslautern, Germany · Independent Researcher, Mannheim, Germany

  7. Simplify to Amplify: Achieving Information-Theoretic Bounds with Fewer Steps in Spectral Community Detection

    Feb 19, 2026Sie Hendrata Dharmawan, Peter ChinStochastic Block ModelGraph Clustering

    Thayer School Of Engineering · Dartmouth College · Hanover, NH, USA

  8. Efficient reduction of stellar contamination and noise in planetary transmission spectra using neural networks

    Feb 10, 2026David S. Duque-Castaño, Lauren Flor-Torres, Jorge I. ZuluagaDenoising AutoencodersAutoencoders

    SEAP/FACom, Instituto de Física - FCEN, Universidad de Antioquia, Calle 70 No. 52-21, Medellín, Colombia

  9. Learning to Discover Iterative Spectral Algorithms

    Feb 10, 2026Zihang Liu, Oleg Balabanov, Yaoqing Yang +1Automated Algorithm DiscoveryLearning to Optimize

    1International Computer Science Institute · University of California, Berkeley · 4Lawrence Berkeley National Laboratory +1

  10. Correcting Spectra Outside the Backbone: A Model-Agnostic Rectifier for Hyperspectral Image Super-Resolution

    Jan 29, 2026Ji-Xuan He, Guohang Zhuang, Bo Junge +5Hyperspectral Image Super-ResolutionHyperspectral Imaging

    School of Computer Science and Technology, Xi’an Jiaotong University · School of Computer Science and Information Engineering, Hefei University of Technology

  11. SFO: Learning PDE Operators via Spectral Filtering

    Jan 23, 2026Noam Koren, Rafael Moschopoulos, Kira Radinsky +1PDE Surrogate ModelingPDE Operator Learning

    Department of Computer Science Technion - Israel Institute of Technology · Department of Computer Science Princeton University

  12. NMIRacle: Multi-modal Generative Molecular Elucidation from IR and NMR Spectra

    Dec 17, 2025Federico Ottomano, Yingzhen Li, Alex M. GanoseMultimodal GenerationMolecular Generation

    Department of Chemistry, Imperial College London · Department of Computing, Imperial College London

  13. Spectral Embedding via Chebyshev Bases for Robust DeepONet Approximation

    Dec 9, 2025Muhammad Abid, Omer SanPDE Surrogate ModelingPDE Operator Learning

    Department of Mechanical and Aerospace Engineering, University of Tennessee, Knoxville, TN 37996, USA.

  14. Robust Tangent Space Estimation via Laplacian Eigenvector Gradient Orthogonalization

    Oct 2, 2025Dhruv Kohli, Sawyer J. Robertson, Gal Mishne +1Manifold LearningSpectral Methods

  15. Physics-Informed Support Vector Kernels via Green-Function Analogies and Jackson-Chebyshev Spectral Design

    Feb 16, 2025Nan-Hong Kuo, Renata WongSupport Vector MachinesKernel Methods

    Department of Physics, National Taiwan University, Taipei, Taiwan · Department of Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan · Department of Neurology, Chang Gung Memorial Hospital, Keelung, Taiwan +1

  16. Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer

    Jan 18, 2025Haotian Lin, Matthew ReimherrSpectral RegularizationConcept Drift

    Department of Statistics, The Pennsylvania State University.

  17. Adversarial dynamical systems characterize when data-driven learning succeeds or fails

    Jul 8, 2024Matthew J. Colbrook, Igor Mezić, Alexei StepanenkoKoopman Operator LearningSpectral Methods

    DAMTP, University of Cambridge, Cambridge, CB3 0WA, UK. · University of California, Santa Barbara, CA 93106, USA.

  18. Semidefinite programming relaxations and debiasing for MAXCUT-based clustering

    Jan 16, 2024Shuheng ZhouSemidefinite ProgrammingUnsupervised Clustering

    University of California, Riverside, CA 92521

  19. Robust Streaming PCA

    Feb 8, 2019Daniel Bienstock, Minchan Jeong, Apurv Shukla +1Principal Component AnalysisStreaming Algorithms

    Graduate School of AI KAIST

  20. Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning

    Date pendingSantanu Ganguly, Xing Liang, Dimitrios MakrisQuantum Machine LearningSpectral Methods

    Quantum AI Research Group, School of Computer Science and Mathematics, Kingston University London, Penrhyn Road, Kingston upon Thames, KT1 2EE, United Kingdom