Tucker Decomposition

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17 papers3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. Physics-Informed Functional Tucker Method with RKHS Factors for Sparse Spatiotemporal Reconstruction

    Oct 31, 2026Zhengyang Liu, Jianguo Huang, Junxi Hu +7Physics-Informed MLPDE Inverse Problems

    SandGold AI Research, Guangzhou, China · Nanyang Technological University, Singapore · Westlake University, Hangzhou, China +2

  2. Lightweight Representation Learning for Low Tucker Rank Tensors

    Oct 31, 2026Hiroki Hasegawa, Yukihiko OkadaLow-Rank Representation LearningRepresentation Learning

    Graduate School of Science and Technology, University of Tsukuba, Tsukuba, Japan · Center for Artificial Intelligence Research, Tsukuba Institute for Advanced Research, University of Tsukuba, Tsukuba, Japan · Institute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan

  3. Residual-Guided Adaptive Tucker Rank Allocation for Parameter-Efficient MCI Conversion Prediction

    Oct 19, 2026Guanghua He, Hancan Zhu, Gaohang Yu +1Adaptive Rank AllocationParameter-Efficient Fine-Tuning

    Department of Mathematics, Hangzhou Dianzi University, Hangzhou, 310018, China · School of Mathematics, Physics and Information, Shaoxing University, Shaoxing, 312000, China · Department of Mathematics, Zhejiang University of Science and Technology, Hangzhou, 310023, China

  4. ITC-MoE: Importance-guided Token-aware Compression for MoE Diffusion Language Models

    Oct 1, 2026Lianjun Liu, Shipeng Li, You Huang +5Tucker DecompositionMixture-of-Experts Language Models

    Hainan University, Haikou, China · Xiamen University, Xiamen, China · Zhejiang Normal University, Jinhua, China

  5. Sequential Functional Structured Tucker Compression for Large Language Model Attentions

    Sep 30, 2026Jiangfeng Chen, Xinyu Wang, Tianshuo Yan +4Tucker DecompositionLLM Compression

    University of Manitoba · McGill University · Simpleway +2

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

    Sep 23, 2026Rahul Krishnan, Volker SchulzTucker DecompositionTensor Decomposition

    Universität Trier · Fachbereich IV, Mathematik, Universität Trier

  7. Self-Routed Tensor Adapters for Parameter-Efficient Universal Visual Adaptation

    Aug 17, 2026Suraj YadavTucker DecompositionVision Foundation Model Adaptation

    Indraprastha Institute of Information Technology Delhi

  8. FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity

    Aug 7, 2026Deepank Girish, Yi Hao Chan, Yubin Zheng +2Tucker DecompositionFunctional Connectivity

    Nanyang Technological University · Shanghai Jiao Tong University · Indian Institute of Technology Ropar

  9. Leakage and Multiway Interaction Loss: What Matricization and Single-Mode Truncation Discard from Multiway Signals

    Jul 27, 2026Hiroki HasegawaTensor DecompositionLow-Rank Approximation

    Graduate School of Science and Technology, University of Tsukuba, Tsukuba, 305-8573, Japan

  10. A JoLT for the KV cache: Near-Lossless KV Cache Compression via Joint Rank-bit Allocation

    Jul 14, 2026Rahul Krishnan, Volker SchulzTucker DecompositionKV Caching

    Universität Trier · Fachbereich IV, Mathematik, Universität Trier

  11. Robust Neural Tucker Factorization with Bias Correction and Adaptive Initialization

    Jun 15, 2026Yuchao Su, Yixin RanTensor CompletionNeural Network Initialization

    School of Computer Science and Engineering, Chongqing University of Science and Technology, Chongqing, China · College of Computer and Information Science, School of Software, Southwest University, Chongqing, China

  12. Spectra-Guided Neural Tucker Factorization

    May 30, 2026Fusheng Wang, Yikai HouTensor CompletionTensor Decomposition

    School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China · College of Computer and Information Science, School of Software, Southwest University, Chongqing, China

  13. Unsupervised feature selection using Bayesian Tucker decomposition

    Apr 16, 2026Y-h. Taguchi, Yoh-ichi MototakeTensor DecompositionUnsupervised Feature Selection

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

  14. Tucker Attention: A generalization of approximate attention mechanisms

    Mar 31, 2026Timon Klein, Jonas Kusch, Sebastian Sager +2Tucker DecompositionAttention Mechanisms

    Department of Mathematics; Otto von Guericke University Magdeburg; 39106 Magdeburg; Germany. · Scientific Computing, Norwegian University of Life Sciences, ˚As, Norway · Max Planck Institute for Dynamics of Complex Technical Systems; 39106 Magdeburg; Germany. +1

  15. Asymptotic Optimism for Tensor Regression Models with Applications to Neural Network Compression

    Mar 27, 2026Haoming Shi, Eric C. Chi, Hengrui LuoModel SelectionTensor Decomposition

    Department of Statistics, Rice University · School of Statistics, University of Minnesota

  16. Adaptive regularization parameter selection for high-dimensional inverse problems: A Bayesian approach with Tucker low-rank constraints

    Mar 17, 2026Qing-Mei Yang, Da-Qing ZhangTucker DecompositionBayesian Inverse Problems

    School of Science, University of Science and Technology Liaoning, Anshan, Liaoning Province, 114051, PR China

  17. All-day Multi-scenes Lifelong Vision-and-Language Navigation with Tucker Adaptation

    Mar 15, 2026Xudong Wang, Gan Li, Zhiyu Liu +3Tucker DecompositionVision-Language Navigation

    State Key Laboratory of Robotics and Intelligent Systems, Shenyang Institute of Automation, Chinese Academy of Sciences · University of Chinese Academy of Sciences · North University of China +1