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18 papers in the last four weeks, up 125% on the four weeks before. 0.2% of all new papers.

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  1. Learning with Volterra Neural Networks: A System Theoretic Perspective

    Sep 1, 2026Haoyu Yun, Hamid Krim, Yufang BaoKernel MethodsNeural Operators

    Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA · Department of Mathematics and Computer Science, Fayetteville State University, Fayetteville, NC, USA

  2. DK-GBMKKM: Dynamic Kernel-Space Granular-Ball Multiple Kernel kk-Means Clustering

    Sep 1, 2026Xiaoyu Lian, Yuchao Zhang, Shuyin Xia +2ClusteringKernel Methods

    Chongqing University of Posts and Telecommunications · Chongqing Open University

  3. The Frame Kernel Method for Multiscale Operator Learning

    Aug 25, 2026Branden Frieden, Ryan Whitehead, M. Keith Ballard +2PDE Surrogate ModelingKernel Methods

    Kahlert School of Computing, University of Utah, Salt Lake City, UT 84112, USA. · U.S. Air Force Research Laboratory, Wright-Patterson AFB, OH 45433, USA.

  4. Finding the Needle in a Haystack: Test-Time Analog Circuit Representation Adaptation for Bayesian Optimization

    Aug 13, 2026Fin Amin, Sounak Dutta, Paul D. FranzonRepresentation LearningTest-Time Adaptation

    Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA

  5. Kernel Methods for Learning Operators with Multiple Inputs and Outputs

    Aug 12, 2026Adrien Weihs, Chunyang Liao, Jingmin Sun +1Kernel MethodsPDE Operator Learning

    Department of Mathematics, University of California Los Angeles, Los Angeles, CA 90095, USA. · Department of Mathematical Sciences, University of Arkansas, Fayetteville, AR, 72701, USA. · Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21218, USA.

  6. Improving TensorSketch Using Complex Random Variables

    Aug 11, 2026Amit Sharma, Mohammad Azhar Khan, Rameshwar Pratap +1Randomized SketchingKernel Methods

    Department of Computer Science and Engineering, IIT Hyderabad, India · Department of Mathematics and Statistics, Bucknell University, USA

  7. Multi-kernel spectral clustering: Entrywise eigenvector perturbation bounds and exact recovery

    Aug 9, 2026Zeqin Lin, Guangming Pan, Zhixiang Zhang +1ClusteringUnsupervised Clustering

    1Nanyang Technological University · University of Macau · 3Dalian University of Technology

  8. Tensor Network Kernel Machines: A JAX Framework for Machine Learning and Nonlinear System Identification

    Aug 7, 2026Albert Saiapin, Kim BatselierTensor NetworksNonlinear System Identification

    Delft Center for Systems and Control, TU Delft, Netherlands

  9. Random features for Grassmannian kernel approximation with bounded rank-one projections

    Aug 4, 2026Rémi Delogne, Laurent JacquesGeometric Representation LearningRandom Feature Methods

    INMA/ICTEAM, UCLouvain, Belgium

  10. Beyond the Gegenbauer Paradigm: q-Orthogonal Kernels for Machine Learning

    Aug 4, 2026Álvaro Sánchez-Paniagua Ríos, Juan P. Llerena, Alberto Lastra +2Support Vector MachinesKernel Methods

    Physics and Mathematics Department, University of Alcalá, Spain · Computer Science and Artificial Intelligence Department, University of Alcalá, Spain · Mathematics Department, Universidad Autónoma de Madrid, Spain

  11. Simple-regret rates and minimax optimality of fixed-prior expected improvement in Matérn and squared-exponential RKHSs

    Jul 31, 2026Emmanuel Vazquez, Sébastien PetitBayesian OptimizationGaussian Processes

    Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes, 91190 Gif-sur-Yvette, France · Laboratoire national de métrologie et d’essais (LNE), 1 rue Gaston Boissier, 75724 Paris Cedex 15, France

  12. Integrating Contextual Embeddings into Evaluation of Expressive MIDI Piano Performances

    Jul 30, 2026Dmitrii Gavrilev, Ilya Borovik, Vladimir ViroKernel MethodsMusic Information Retrieval

    Skolkovo Institute of Science and Technology, Russia · Peachnote GmbH, Germany

  13. PIKS: Universal Physics-Informed Kernel Methods

    Jul 29, 2026Joachim Bona-Pellissier, Giacomo Meanti, Matteo Santacesaria +1Kernel MethodsPhysics-Informed ML

    MaLGa Center, DIBRIS, Università degli Studi di Genova, Genoa, Italy · MaLGa Center, DIMA, Università degli Studi di Genova, Genoa, Italy · Istituto Italiano di Tecnologia, Genoa, Italy

  14. A Coulomb Particle Model for Learning Kernel Attention in Transformers

    Jul 26, 2026Masoud Badiei Khuzani, Sharath Honnaiah, Atiq Islam +2Transformer AttentionEfficient Attention

    eBay Inc., San Jose, CA, USA

  15. Deep Convolutional Large-Margin ℓp\ell_p-SVDD for Visual Anomaly Detection

    Jul 24, 2026Alireza Dastmalchi Saei, Shervin Rahimzadeh ArashlooKernel MethodsOne-Class Classification

    Department of Computer Engineering, Bilkent University, 06800 Ankara, Türkiye

  16. Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA

    Jul 23, 2026Sergio A. AlvarezPrincipal Component AnalysisReproducing Kernel Hilbert Spaces

    Department of Computer Science, Boston College, Chestnut Hill, MA 02467 USA

  17. A Structure-Adaptive Random Feature Method for High-Dimensional Elliptic PDEs

    Jul 22, 2026Jiale Linghu, Hao Dong, Yangshuai WangPDE SolvingRandom Feature Methods

    School of Mathematics and Statistics, Xidian University, Xi’an 710071, China. · Department of Mathematics, National University of Singapore, 10 Lower Kent Ridge Road, 119076, Singapore

  18. A Multiclass Quantum Aligned Centroid Kernel

    Jul 22, 2026Kilian Tscharke, Pascal DebusMulticlass ClassificationQuantum Kernel Methods

    Fraunhofer Institute for Applied and Integrated Security (AISEC), 85748 Garching near Munich, Germany

  19. Unsupervised Multi-kernel Learning for Automated Algorithm Selection

    Jul 21, 2026Yihang Lu, Tome Eftimov, Carola DoerrBlack-Box OptimizationUnsupervised Clustering

    Sorbonne Université, CNRS, INRAE, IRD, iEES, Paris, France · LIP6, Sorbonne Université, CNRS, Paris, France · Computer Systems Department, Jožef Stefan Institute, Ljubljana, Slovenia

  20. Improving Improved Kernel PLS

    Jul 17, 2026Ole-Christian Galbo EngstrømHigh-Performance ComputingKernel Methods

    FOSS Analytical A/S, Nils Foss All´e 1, Hillerød, 3400, Denmark

  21. Riesz-Kernel Stein Variational Gradient Descent: Renormalized Entropy and Long-Time Particle Limits

    Jul 16, 2026Trevor Teolis, Maarten V. de HoopKernel MethodsStein Variational Gradient Descent

    Rice University

  22. QCNN with Rough Path Signature Kernels

    Jul 8, 2026Leonardo Nogueira Falabella, Vasily SazonovTime Series ClassificationQuantum Convolutional Neural Networks

    Université Paris-Saclay, CEA, List, F-91120, Palaiseau, France

  23. Kernel-based Operator Learning: Error Analysis, Budget Allocation, and a Physics-Informed Extension

    Jul 7, 2026Rüdiger KempfKernel MethodsPDE Operator Learning

    Applied and Numerical Analysis University of Bayreuth 95440 Bayreuth, Germany

  24. Learning-based Physics-Constrained Neural Kernel for Sound Field Estimation With Source-Position-Dependent Directional Weighting

    Jul 7, 2026Mattia Marella, Shoichi KoyamaKernel RegressionImplicit Neural Representations

    National Institute of Informatics, Tokyo, Japan · University of Ferrara, Ferrara, Italy

  25. Structured Gaussian Processes for Uncertainty-Aware Classification of High-Dimensional, Small-Sampled Omics Data

    Jul 2, 2026Yue Zhang, Nandini Amit Gadhia, Georgios Karagiannis +1Gaussian ProcessesKernel Methods

    Department of Mathematical Sciences Durham University Durham, United Kingdom · STFC Hartree Centre University of Liverpool Liverpool, United Kingdom · STFC Hartree Centre Daresbury, United Kingdom

  26. K-Inverse-RFM: A Modified RFM that Bridges the Gap to Neural Networks for Data-Corrupted Mathematical Tasks

    Jul 1, 2026Gil PasternakKernel MethodsLearning with Noisy Labels

    UNIVERSITY OF CALIFORNIA SAN DIEGO

  27. A Kernel Fisher Discriminant Analysis-Based Tree Ensemble Classifier: KFDA Forest

    Jun 27, 2026Donghwan Kim, Seung Hwan Park, Jun-Geol BaekEnsemble LearningClassification

    School of Industrial Management Engineering, Korea University Seoul, Korea · School of Mechanical Engineering, Chungnam National University Daejeon, Korea

  28. XMSE-Aware Adaptive Empirical Bayes Estimation

    Jun 25, 2026Minghao Chen, Jiale ZhengParameter EstimationEmpirical Bayes

    Tencent Technology, Shenzhen, China · Huawei Noah’s Ark Lab, Shenzhen, China

  29. Differential Spectral Damping Gap Adaptive Regularization for Ill-Conditioned Kernel Methods

    Jun 22, 2026Praveg VashishthaSpectral RegularizationSupport Vector Machines

    Department of Computer Science and Engineering, Indian Institute of Technology Patna, India · Sopra Banking Software India

  30. Generalized nonparametric regression in reproducing kernel Hilbert spaces: Consistency and rates of convergence

    Jun 22, 2026Ioannis KalogridisNonparametric RegressionReproducing Kernel Hilbert Spaces

    School of Mathematics and Statistics, University of Glasgow, United Kingdom