Tensor Decomposition

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8 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

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  1. Heteroskedastic Canonical Polyadic Tensor Decomposition

    Sep 30, 2026Kyle Ritscher, Carlos Llosa-ViteTensor DecompositionLow-Rank Structure

    Computer Science Research Institute, Sandia National Laboratories, Albuquerque, NM · Department of Statistics & Data Science, University of California, Los Angeles, CA

  2. Tensor Decomposition of Transformer Key-Value Caches: Spectral Structure and Format Comparison

    Sep 23, 2026Rahul Krishnan, Volker SchulzKey-Value Cache CompressionTensor Decomposition

    Universität Trier · Fachbereich IV, Mathematik, Universität Trier

  3. Topological Signal Processing With Unoriented Operators

    Sep 21, 2026Andrea Cavallo, Varun Sarathchandran, Geert Leus +1Graph Signal ProcessingTensor Decomposition

    Delft University of Technology, Delft, Netherlands

  4. Pre-Trained Low-Rank Tensor Decomposition for Multi-Dimensional Image Recovery

    Sep 14, 2026Bing-Zhang Fu, Zhi-Long Han, Ting-Zhu Huang +2Tensor DecompositionLow-Rank Structure

    School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China · School of Mathematics and Statistics and Ministry of Education Key Lab of Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China · Pazhou Laboratory (Huangpu), Guangzhou, Guangdong 510335, China

  5. Semi-Tensor Product-Based Multi-Term Randomized T-SVD and Its Visual Applications

    Sep 11, 2026Xingchen Xiao (School of Mathematics and Statistics, Southwest University, Chongqing +13Tensor DecompositionSingular Value Decomposition

    School of Mathematics and Statistics, Southwest University, Chongqing, 400715, China

  6. Identifiability of Nonnegative Tensor Decompositions via Positive Scattering

    Sep 10, 2026Haoming Wang, Ming YuanTensor DecompositionIdentifiability

    Columbia University

  7. Constraint-Aware Discrete Black-Box Optimization Using Tensor Decomposition

    Sep 8, 2026Keisuke Onoue, Ryosuke KojimaBlack-Box OptimizationTensor Decomposition

    Nara Institute of Science and Technology, Nara, Japan · Graduate School of Medicine, Kyoto University, Kyoto, Japan · RIKEN Center for Biosystems Dynamics Research, Japan

  8. Hyperspectral Anomaly Detection via Group Sparse Low-Rank Tensor Factorization With Automatic Anomaly Grouping

    Sep 8, 2026Quan Yu, Yu-Hong Dai, Xiongjun ZhangHyperspectral ImageGraph Anomaly Detection

    School of Mathematics and Statistics, Central China Normal University, Wuhan 430079, China, and also with the Key Laboratory of Nonlinear Analysis and Applications (Ministry of Education), Central China Normal University · State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China, and also with the School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China

  9. Tensor Methods for Language Models: From Token Representation to Training, Adaptation, Inference, Compression, and Interpretability

    Aug 31, 2026Matvei Tarasov, Salman Ahmadi-Asl, Andre L. F. de Almeida +1Large Language Model CompressionTensor Networks

    Innopolis University, Innopolis 420500, Russia · Department of Teleinformatics Engineering, Federal University of Cear´a, Fortaleza 60455-760, Brazil · Systems Research Institute of Polish Academy of Science and Warsaw University of Technology, Poland

  10. Knowledge-guided Pattern Discovery via Coupled Tensor Factorizations

    Aug 13, 2026Gaute Johannessen, Geert Roelof van der Ploeg, Evrim AcarTensor DecompositionMetabolic

    Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo · Department of Data Science and Knowledge Discovery, Simula Metropolitan Center for Digital Engineering, Oslo

  11. Accelerated Learning of High Dimensional Functions with a Tensor-Featured Training Network

    Aug 11, 2026Karl Pierce, Yuehaw Khoo, Haizhao YangTensor DecompositionHigh-Dimensional

    † The University of Maryland, College Park, College Park MD 20742 USA · ∗The University of Chicago, Chicago, IL 60637 USA

  12. MINT: Tensor Decomposition on Stacked Recurrence Matrices for Time Series Data Mining

    Aug 4, 2026Kaamil Kaka, Audrey Der, Evangelos E. Papalexakis +2Tensor DecompositionTime Series

    University of California, Riverside, Department of Computer Science · Neuralix AI

  13. Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration

    Aug 3, 2026Shashwat Kumar, Arafat Rahman, Anuj Srivastava +1ReparameterizationSimplex

    Department of Biomedical Engineering, Johns Hopkins University, USA · Department of Systems and Information Engineering, University of Virginia, USA · Department of Applied Mathematics and Statistics, Johns Hopkins University, USA +1

  14. Breaking the Periodicity Assumption: Robust Tensorial Multi-View Clustering via Graph-Spectral Low-Rank Learning

    Jul 28, 2026Jintian Ji, Xingsu Li, Songhe FengTensor DecompositionClustering

    Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong, China · School of Computer and Information Technology Beijing Jiaotong University, Beijing, China

  15. (MPO)2^2: Multivariate Polynomial Optimization based on Matrix Product Operators

    Jul 17, 2026Niccolò Ciolli, Anders Vestergaard Nørskov, Michael Kastoryano +2Tensor DecompositionMatrix Multiplication

  16. Tensorized algorithms and scalable filtering methods for hidden Markov and factorial hidden Markov models

    Jul 8, 2026Roxana Barrios, Ioannis SgouralisHidden Markov ModelsTensor Decomposition

    Department of Mathematics, University of Tennessee, Knoxville, TN

  17. Online TT-ALS for Streaming Tensor Decomposition with Incremental Orthogonalization

    Jun 30, 2026Hiroki Takeda, Yuto Miyatake, Daisuke FurihataTensor DecompositionReconstruction Fidelity

    Department of Pure and Applied Mathematics, The University of Osaka, Japan · D3 Center, The University of Osaka, Japan

  18. Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications

    Jun 23, 2026Arindam Sengupta, Paul Jeanney, Ricardo Vinuesa +2Tensor DecompositionSingular Value Decomposition

    ETSI Aeronáutica y del Espacio, Universidad Politécnica de Madrid, Plaza Cardenal Cisneros, 3, Madrid, 28040, Spain · Ove Arup, C. de Alfonso XI, 12, Retiro, Madrid, 28014, Spain · Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI 48109, United States

  19. Privacy-preserving federated tensor decomposition of single-cell immune data: recovering multicellular programs across institutions

    Jun 22, 2026Axel Faes, Stephanie M. van den Berg, Maryam Amir HaeriSingle-Cell RnaTensor Decomposition

    Data Science Institute, Hasselt University, Belgium · University of Twente, The Netherlands · Learning, Data Analytics and Technology, University of Twente, The Netherlands

  20. Separable Neural Architectures as Physical World Models: from Mathematical Theory to Applications

    Jun 12, 2026Reza T Batley, Andrew Kichline, Sourav SahaNeural Partial Differential Equation SolversPartial 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

  21. SirenFNO: Efficient and Full Frequency Learning of Fourier Neural Operators

    Jun 9, 2026Pengqing Shi, Jie Yin, Stephen Tierney +1Fourier Neural OperatorsNeural Operators

    The University of Sydney, Australia

  22. Hyperparameter Learning for Latent Factorization of Tensors for Representation Learning to Large-scale Dynamic Weighted Directed Network

    Jun 3, 2026Yaqian Zhan, Jialan He, Tianzhu ChenGeneral Grid Search FrameworkTensor Decomposition

    College of Computer and Information Science Southwest University Chongqing, China

  23. Rethinking the Role of Tensor Decompositions in Post-Training LLM Compression

    Jun 2, 2026Artur Zagitov, Alexander Miasnikov, Maxim Krutikov +5Large Language Model CompressionTensor Decomposition

    BRAIn Lab, Moscow, Russia

  24. Bayesian Tensor Decomposition with Diffusion Model Prior

    Jun 2, 2026Zerui Tao, Qibin ZhaoTensor DecompositionDiffusion Priors

    RIKEN Center for Advanced Intelligence Project (AIP), Tokyo, Japan.

  25. Open Problem: Separating Geometric and Algorithmic Compression via Cayley-Table Completion

    May 28, 2026Dongsung HuhTensor CompletionOptimal Sample Complexity

  26. Transfer learning RGB models to hyperspectral images with trainable tensor decompositions

    May 27, 2026Mariette Schönfeld, Laurens Devos, Wannes Meert +1Hyperspectral ImageTransfer Learning

    KU Leuven, Dept. of Computer Science, B-3000 Leuven, Belgium · Leuven.AI - KU Leuven Institute for AI, B-3000 Leuven, Belgium

  27. A Hybrid Tucker-LSTM Tensor Network Model for SOC Prediction in Electric Vehicles

    May 13, 2026Han Wang, Ying Wang, Bing WangElectric VehiclesLithium-Ion Batteries

    College of Computer and Information Science Southwest University Chongqing, China · School of Culture Tourism Chongqing Vocational College of Culture and Arts Chongqing, China · Digital Intelligence Center China Automotive Engineering Research Institute Co., Ltd. Chongqing, China

  28. Robust Basis Spline Decoupling for the Compression of Transformer Models

    May 11, 2026Joppe De Jonghe, Van Tien Pham, Mariya IshtevaTensor DecompositionTransformer Architectures

    aNUMA, Department of Computer Science, KU Leuven, Kleinhoefstraat 4, Geel, 2440, Antwerpen, België · bUniversité Paris-Saclay, CEA, List, Palaiseau, F-91120, France

  29. A Biased Nonnegative Block Term Tensor Decomposition Model for Dynamic QoS Prediction

    May 6, 2026Wenjing Liu, Yujia Lei, Qu WangTensor DecompositionFuture Latent Representations

    College of Computer and Information Science Southwest University Chongqing, China

  30. Toward Personalized Digital Twins for Cognitive Decline Assessment: A Multimodal, Uncertainty-Aware Framework

    Apr 29, 2026Bulent Soykan, Gulsah Hancerliogullari Koksalmis, Hsin-Hsiung Huang +1Mild Cognitive ImpairmentPatient Trajectories

    Department of Mechanical, Industrial & Manufac. Eng. The University of Toledo Toledo, OH, USA · Department of Industrial Eng. and Mngt. Systems University of Central Florida Orlando, FL, USA · Department of Statistics and Data Science University of Central Florida Orlando, FL, USA +1

  31. Unsupervised feature selection using Bayesian Tucker decomposition

    Apr 16, 2026Y-h. Taguchi, Yoh-ichi MototakeFeature SelectionTensor Decomposition

    Department of Physics, Chuo University, Tokyo, 112-8551, Japan. · Graduate School of Social Data Science, Hitotsubashi University, Tokyo, 186-8601, Japan.

  32. Flow-Through Tensors: A Unified Computational Graph Architecture for Multi-Layer Transportation Network Optimization

    Jun 30, 2025Xuesong Zhou, Taehooie Kim, Mostafa Ameli +3Accurate Traffic ForecastingOrigin Destination Flows