Tensor

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Period ending 2026-09-14

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  1. Quantum-Inspired Trainable and Parameter-Efficient Tensor Networks for Image Inpainting

    Sep 15, 2026Shiwen An, Konstantinos SlavakisTensor NetworksContext-Conditioned Inpainting

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

    Sep 14, 2026Bing-Zhang Fu, Zhi-Long Han, Ting-Zhu Huang +2Low-Rank Tensor DecompositionMultimodal Pretraining

  3. 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 +13Low-Rank Tensor DecompositionSingular Value Decomposition

  4. Identifiability of Nonnegative Tensor Decompositions via Positive Scattering

    Sep 10, 2026Haoming Wang, Ming YuanLow-Rank Tensor DecompositionIdentifiability

  5. A Block Tensor Train Burer-Monteiro Framework for Low-Rank Quantum State Tomography

    Sep 8, 2026Shakir Showkat Sofi, Charlotte Vermeylen, Fatemeh Mohammadi +1Tensor NetworksTensor

  6. Tensor Network Moral Graph Recovery of Discrete Probability Distributions

    Sep 8, 2026Á. Troyano Olivas, Chi-Hang Fred Fung, Hans H. Brunner +2Causal GraphDirected Acyclic Graph

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

    Sep 8, 2026Quan Yu, Yu-Hong Dai, Xiongjun ZhangHyperspectral Image ClassificationHyperspectral Imaging

  8. Tensor network representations of discrete maximum entropy distributions via mean polytopes

    Sep 7, 2026Alex Goessmann, Martin EigelTensor NetworksPolytopes

  9. Parameterised graph theory for tensor networks: entanglement rerouting, structural simplification, and agnostic tomography

    Sep 3, 2026Matthias C. Caro, Natalie McHugh, Sergii StrelchukTensor NetworksAcyclic Graphs

  10. Scaled Idempotence in Transformer Attention: Paired OV Geometry and Shared-Value Algebras

    Sep 1, 2026Jiming Feng, Junliang LiTransformer AttentionTensor

  11. Stochastic Optimization of Tree Tensor Networks

    Sep 1, 2026Marius Willner, Maximilian Scharf, André Uschmajew +2Tensor NetworksNeural Network Optimization

  12. Higher Structures in Deep Learning

    Aug 31, 2026Michael L. Roberts, Carlos Zapata Carratalá. Nicholas J. Cooper, Lijun Chen +2Higher OrderTensor

  13. Rotational Equivariance in Machine Learning: A Comprehensive Tutorial

    Aug 31, 2026Peter Lippmann, Fred A. HamprechtExact EquivarianceMachine Learning

  14. 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 ScaleTensor

  15. TPR-Attention for Combinatorial Generalization

    Aug 31, 2026Melisa Civelekoğlu, Isabeau Prémont-SchwarzArchitectural Inductive BiasesNeural Architectures

  16. Knowledge-guided Pattern Discovery via Coupled Tensor Factorizations

    Aug 13, 2026Gaute Johannessen, Geert Roelof van der Ploeg, Evrim AcarLow-Rank Tensor DecompositionMetabolic

  17. Hamilton-Zero: A Neural Tensor-Network Foundation Model for Ground States of Arbitrary Quadratic Qubit Hamiltonians

    Aug 12, 2026Timothy Heightman, Elena Orlova, Philip Mantrov +1Quantum LearningHamiltonian

  18. sLTN: Structural Logic Tensor Networks

    Aug 11, 2026Davide Rinaldi, Luciano SerafiniLinear Temporal LogicsTensor Networks

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

    Aug 11, 2026Karl Pierce, Yuehaw Khoo, Haizhao YangLow-Rank Tensor DecompositionHigh-Dimensional

  20. P3CA: Encoder-Agnostic Interpretation of Vision Foundation Model Embeddings via Spatial Probing

    Aug 10, 2026Amoon Jamzad, Dilakshan Srikanthan, Faranak Akbarifar +23D Foundation ModelsPrincipal Component Analysis

  21. Hierarchical rank-evolving representation for physics-informed neural networks

    Aug 10, 2026Ruoyang Su, Xi-Le Zhao, Kun Li +1Low-Rank Tensor DecompositionFluid Dynamics

  22. TEMPER: Tensorized Efficient Manifold-constrained Parameterization for Expressive Residual Routing

    Aug 8, 2026Yuxuan Gu, Wuyang Zhou, Huijun Xing +1Residual ConnectionsTensor Networks

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

    Aug 7, 2026Albert Saiapin, Kim BatselierTensor NetworksNeural Tangent Kernel

  24. Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation

    Aug 6, 2026Alfred M. Pastor, Maribel Castillo, Jose M. BadiaQuantum CircuitsTensor Networks

  25. MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation

    Aug 5, 2026Blessed Guda, Kayley Sze, Carlee Joe-WongWireless Foundation ModelsFoundation Model

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

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

  27. CPrefix: A Combinatorial Tensor Framework for Structured Discrete Color Mappings

    Aug 4, 2026Yvan RichardColorReconstruction-Based Ufs Formulations

  28. 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 +1ReparameterizationLow-Rank Tensor Decomposition

  29. CMuon: Accelerating and Stabilizing Diffusion Transformer Training via Chunked Momentum Orthogonalization

    Aug 3, 2026Chuyan Chen, Peng Sun, Kun YuanDiffusion TransformersMuon

  30. Lossless Tensor Compression as Program Synthesis

    Aug 3, 2026Jieke Shi, Junda He, Wenjia Jiang +11Model and Context CompressionTensor

  31. Quaternion Tensor Modeling for Joint Color-Polarization Demosaicking

    Aug 3, 2026Yanqing Song, Jifei Miao, Chaoqian Li +3Tensor

  32. Journey Operators for Structured Multi-Axis Composition

    Jul 29, 2026Mahesh GodavartiRotary Position EmbeddingRotation

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

    Jul 28, 2026Jintian Ji, Xingsu Li, Songhe FengLow-Rank Tensor DecompositionClustering

  34. Structural Loss Metrics for Tensor Approximation via Matrix Low-Rank Approximation

    Jul 27, 2026Hiroki HasegawaLow-Rank Tensor DecompositionLow-Rank Factorization

  35. Variational Low-rank Tensor Decomposition for Multisubject Spatiotemporal Data Analysis

    Jul 24, 2026Laura M. Montaldo, Ricardo A. Borsoi, Sebastian Miron +1Low-Rank Tensor DecompositionLatent Factor Representations

  36. Tensor Network Machine Learning for Wildfire Susceptibility Mapping: from Grokking Dynamics to Quantum Mixedness of Class Representations

    Jul 21, 2026Domenico Pomarico, Alessandra Costantino, Gabriel Ramirez Sanchez +12Wildfire PredictionTensor Networks

  37. Kernel Regression with Tensor Trains and Hadamard Overparameterization

    Jul 19, 2026Duc Thien Nguyen, Konstantinos Slavakis, Eleftherios Kofidis +1Low-Rank Tensor DecompositionTensor

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

    Jul 17, 2026Niccolò Ciolli, Anders Vestergaard Nørskov, Michael Kastoryano +2Low-Rank Tensor DecompositionTensor

  39. An Exact Instrument for State Usage in Selective State-Space Models, and the Input-Driven Migration It Reveals

    Jul 13, 2026Raktim BhattacharyaState Space ModelsModel Selection

  40. Multi-agent Autoformalization of Tensor Network Theory

    Jul 8, 2026Sirui Lu, Erickson Tjoa, J. Ignacio CiracAutoformalizationTensor Networks

  41. Intrinsic Green's Learning: Supervised Learning on Manifolds via Inverse PDE

    Jul 8, 2026Alexandre QuemyStatistical ManifoldIntrinsic Dimensionality

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

    Jul 8, 2026Roxana Barrios, Ioannis SgouralisLow-Rank Tensor DecompositionHidden Markov Models

  43. Lean-Quantum: Toward AI-Assisted Formalization of Quantum Information

    Jul 6, 2026Kazumi Kasaura, Kei Tsukamoto, Kento Mori +6Information-Theoretic LimitsFormalization

  44. Tensor-Train Joint Modeling for Few-Step Discrete Diffusion

    Jul 4, 2026Byoungkwon Kim, Minhyuk SungFew-Step GenerationLow-Rank Tensor Decomposition

  45. The Multiscale Single-Index Model: A Stylized Model for Hierarchical Feature Learning

    Jul 3, 2026Joan BrunaMultiscaleOptimal Sample Complexity

  46. One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective

    Jul 2, 2026Juan Agustín Duque, Sergio García Heredia, Vinicius Hernandes +4Quantum LearningMany-Body Physics

  47. When AI meets quantum information: A comprehensive review

    Jul 1, 2026Min Chen, Yu Gan, Xin Jin +15Quantum ComputingQuantum Annealing

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

    Jun 30, 2026Hiroki Takeda, Yuto Miyatake, Daisuke FurihataLow-Rank Tensor DecompositionTensor Programs

  49. HSAP: A Hierarchical Sequence-aware Parallelism for Hybrid-Context Generative Models

    Jun 29, 2026Songxin Zhang, Zejian Xie, Zhuoyang Song +4Parallel Decoding and TrainingEfficient Long-Context Inference

  50. First-Order Temporal Logic Tensor Networks

    Jun 29, 2026Luca Boscarato, Ivan Donadello, Alessandro Artale +2Linear Temporal LogicsNeuro-Symbolic Framework

  51. Geometric Algebra Meets Cartesian Tensors: Higher-Order Equivariance for Interatomic Potentials

    Jun 28, 2026Can Polat, Erchin Serpedin, Mustafa Kurban +1Interatomic PotentialsMolecular Structure Elucidation

  52. Modelling Emotional Memory in Children with Tensor Networks

    Jun 26, 2026Henry Groves, Lucia F. Jackson, Barbara-Anne Robertson +1Tensor NetworksPsychology

  53. Tensorion: A Tensor-Aware Generalization of the Muon Optimizer

    Jun 24, 2026Vladimir Bogachev, Vladimir Aletov, Alexander Molozhavenko +2TensorAdam

  54. TL++: Accuracy and Privacy Preserving Traversal Learning for Distributed Intelligent Systems

    Jun 24, 2026Erdenebileg Batbaatar, Young YoonPrivacy-Preserving FrameworkDistributional Learning

  55. Two-dimensional Hyperbolic RNN Neural Quantum State

    Jun 24, 2026H. L. DaoQuantum LearningHyperbolic Space

  56. A Framework for Directed Hypergraph Signal Processing via tensor t-SVD

    Jun 23, 2026Carlos Mundo-Levano, Nicolás Bello, Daniel L. Lau +1HypergraphsLow-Rank Tensor Decomposition

  57. 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 +2Low-Rank Tensor DecompositionSparse Observations

  58. Tensor Train Decomposition-based 3D Implicit Full Waveform Inversion with Multi-scale Structural Similarity

    Jun 22, 2026Liangsheng He, Chao Song, Tiansheng Chen +2Discrete Wavelet TransformSeismic Interpretation

  59. The Token Is a Group Element: On Lie-Algebra Attention over Matrix Lie Groups

    Jun 18, 2026Przemyslaw MusialskiLie GroupRepresentation Space

  60. Low-Rank Tensor Completion Based on Fractional Regularization with Ky Fan p-k Norm

    Jun 17, 2026Shan Fan, Feng Zhang, Jianjun Wang +2Tensor CompletionLow-Rank Tensor Decomposition