Tensor Networks

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  1. Gaussian Universality and Its Breakdown in Tensor-Network Machine Learning

    Oct 5, 2026Shi-Tuan Wang, Zidu Liu, Li-Wei YuTensor Networks

  2. Discrete Diffusion Models via Evolving Variational Autoregressive Networks

    Sep 23, 2026Kewen Pan, Ying TangScore-Based Diffusion ModelSpatial Photonic Ising Machines

  3. Exactness at Inference: A Representational Criterion for Out-of-Distribution Generalization

    Sep 21, 2026Filipe Marinho Rocha, Inês Dutra, Vítor Santos Costa +1Out-Of-DistributionImproved Generalization

  4. The Output-Space Hypothesis: Enumerative Equivalence Checking for Tensor Programs

    Sep 17, 2026Paul Biberstein, Joseph Devietti, Mayur NaikCudaBug

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

    Sep 15, 2026Shiwen An, Konstantinos SlavakisTensor NetworksQuantization-Aware Training

  6. Benign Loss Landscapes Can Coexist with Worst-Case Hardness

    Sep 14, 2026Zach Furman, Stephan Wäldchen, Yangda Bei +1Anisotropic Loss LandscapesTensor Networks

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

    Sep 8, 2026Shakir Showkat Sofi, Charlotte Vermeylen, Fatemeh Mohammadi +1QubitTensor Networks

  8. Tensor Network Moral Graph Recovery of Discrete Probability Distributions

    Sep 8, 2026Á. Troyano Olivas, Chi-Hang Fred Fung, Hans H. Brunner +2Causal GraphTensor Networks

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

    Sep 7, 2026Alex Goessmann, Martin EigelTensor NetworksPolytopes

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

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

  11. Stochastic Optimization of Tree Tensor Networks

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

  12. 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

  13. sLTN: Structural Logic Tensor Networks

    Aug 11, 2026Davide Rinaldi, Luciano SerafiniTensor NetworksNeuro-Symbolic Framework

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

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

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

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

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

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

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

    Aug 6, 2026Alfred M. Pastor, Maribel Castillo, Jose M. BadiaTensor NetworksQuantum Circuits

  18. It's All Just Vectorization: einx, a Universal Notation for Tensor Operations

    Jul 30, 2026Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner +1VectorizationTensor Networks

  19. 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

  20. Tropical Circuits with Scalar Multiplication Gates

    Jul 13, 2026Christoph Hertrich, Moritz StargallaTensor NetworksExponents

  21. Multi-agent Autoformalization of Tensor Network Theory

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

  22. When AI meets quantum information: A comprehensive review

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

  23. First-Order Temporal Logic Tensor Networks

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

  24. Modelling Emotional Memory in Children with Tensor Networks

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

  25. Family-Aware Residual Architecture for Predicting Quantum Circuit Simulation Performance

    Jun 10, 2026Honjar Xing, Yehong Jiang, Xianbang Wang +2Quantum CircuitsTensor Networks

  26. Topological Neural Operators

    Jun 8, 2026Lennart Bastian, Samuel Leventhal, Mustafa Hajij +1Neural OperatorsTopology

  27. EinSort: Sorting is All We Need for Tensorizing LLM

    Jun 7, 2026Toshiaki Koike-Akino, Jing Liu, Ye WangTensor NetworksLow-Rank Structure

  28. Algorithmic algorithm development with LLMs: A Case Study on LLM-Usage for Contraction Order Optimization in Tensor Networks

    Jun 1, 2026Fabian Hoppe, Melven Röhrig-Zöllner, Philipp KnechtgesEvolutionary SearchLarge Language Models(Llms

  29. TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions

    Jun 1, 2026Farzaneh Heidari, Guillaume RabusseauShapley ValueTensor Networks

  30. Graphical einops: bridging tensor networks and computation graphs

    May 29, 2026Vincent Wang-Maścianica, Nikhil KhatriTensor NetworksInterleaved Graph Attention

  31. Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Parameter Compression of Deep Neural Networks

    May 28, 2026Andrzej Cichocki, Michal WietczakTensor NetworksCompressed Model

  32. Representability-Aware Neural Networks for Reduced Density Matrices: Application to Fractional Chern Insulators

    May 19, 2026Justin B. Hart, Awwab A. Azam, Thomas Li +4Quantum PhasesMany-Body Physics

  33. Maximum Likelihood Decoding of Quantum Error Correction Codes

    May 17, 2026Hanyan Cao, Ge Yan, Yuxuan Du +1Quantum Error CorrectionPost-Quantum Cryptography

  34. Tensor Channel Equivariant Graph Neural Networks for Molecular Polarizability Prediction

    May 16, 2026Jean Philip Filling, Daniel Franzen, Michael WandTensor NetworksMolecular Property Prediction

  35. Tensor Cookbook: Mastering Tensors through Diagrams

    May 15, 2026Beheshteh T. Rakhshan, Guillaume RabusseauTensor NetworksDiagrams

  36. When Are Two Networks the Same? Tensor Similarity for Mechanistic Interpretability

    May 14, 2026ML Nissen Gonzalez, Melwina Albuquerque, Laurence Wroe +3Mechanistic InterpretabilityTensor Networks

  37. On the Approximation Complexity of Matrix Product Operator Born Machines

    May 12, 2026Chao Li, Zerui Tao, Yuchen Cong +2Tensor NetworksVariational Inference

  38. SCALAR: A Neurosymbolic Framework for Automated Conjecture and Reasoning in Quantum Circuit Analysis

    May 11, 2026Sean Feeney, Pooja Rao, Andreas Klappenecker +5Tensor NetworksOpen Problems

  39. Entanglement is Half the Story: Post-Selection vs. Partial Traces

    May 4, 2026Gustav J L Jäger, Krzysztof Bieniasz, Martin B Plenio +1Tensor NetworksQuantum Machine Learning

  40. Laplace Approximation for Bayesian Tensor Network Kernel Machines

    Apr 29, 2026Albert Saiapin, Kim BatselierBayesian Neural NetworksGaussian Process

  41. Quantum-Inspired Robust and Scalable SAR Object Classification

    Apr 28, 2026Maximilian Scharf, Marco Trenti, Felix Bock +5Synthetic Aperture RadarTensor Networks

  42. NeSyCat: A Monad-Based Categorical Semantics of the Neurosymbolic ULLER Framework

    Apr 27, 2026Daniel Romero Schellhorn, Till MossakowskiNeuro-Symbolic FrameworkFirst-Order Logic

  43. Natural gradient descent with momentum

    Apr 16, 2026Anthony Nouy, Agustín SomacalGradient DescentGradient

  44. Prism: Symbolic Superoptimization of Tensor Programs

    Apr 16, 2026Mengdi Wu, Xiaoyu Jiang, Oded Padon +1Optimizer DesignTensor Networks

  45. Riemannian Optimization on Tree Tensor Networks with Application in Machine Learning

    Jul 29, 2025Marius Willner, Marco Trenti, Dirk LebiedzTensor NetworksRiemannian Optimization

  46. Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks

    May 26, 2025Safa Hamreras, Sukhbinder Singh, Román OrúsTensor NetworksNeural Network