Tensor Programs

Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

7 new papers

A weekly snapshot of new work published in Tensor Programs.

Period ending 2026-09-14

6 new papers

A weekly snapshot of new work published in Tensor Programs.

Period ending 2026-09-07

9 new papers

A weekly snapshot of new work published in Tensor Programs.

Inside this field

Focused directions

148 papers

Latest in Tensor Programs

Browse all topics →
CardsList

  1. Topological Signal Processing With Unoriented Operators

    Sep 21, 2026Andrea Cavallo, Varun Sarathchandran, Geert Leus +1Signal ProcessingGraph Laplacians

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

    Sep 17, 2026Paul Biberstein, Joseph Devietti, Mayur NaikTensor ProgramsGraphics Processing Unit Kernels

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

    Sep 15, 2026Shiwen An, Konstantinos SlavakisTensor NetworksFourier

  4. High-Performance Tensor Formulation of the Viterbi Algorithm for Hidden Semi-Markov Models

    Sep 15, 2026Lorenzo Piarulli, Elia Belli, Daniele De SensiHidden Markov ModelsTensor Programs

  5. Where Post-Training Quantization Breaks Text Embedders: A Measured Map Across Four Embedder Families

    Sep 14, 2026Hyojung HanWeight-Only QuantizationLarge Language Model Quantization

  6. VC-Attention: Value Smoothing and Softmax Casting for Low-bit Attention

    Sep 14, 2026Xingyang Li, Dongyun Zou, Shining Zhang +8Dynamic Sparse AttentionPre-Trained Video Diffusion Models

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

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

  8. RunningTensor: Generalizing Linear Attention to Higher-Order Recurrent States

    Sep 14, 2026Luca Herranz-Celotti, Vincent GuigueRecurrent StateQuadratic Attention

  9. 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 +13Singular Value DecompositionTensor

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

    Sep 8, 2026Shakir Showkat Sofi, Charlotte Vermeylen, Fatemeh Mohammadi +1N$-Qubit Stabilizer StatesTensor Networks

  11. Tensor-Train Weak SINDy: Identifying High-Dimensional Nonlinear Dynamics

    Sep 8, 2026Will Houser, Vanja Dukic, David M. BortzSystem IdentificationNonlinear Dynamics

  12. Tensor Network Moral Graph Recovery of Discrete Probability Distributions

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

  13. Dense Structural Compression of Transformers via Gauge-Correct Channel Removal

    Sep 7, 2026Jed A. Duersch, Naïm Es-Sebbani, Nathanaël Haas +1Context CompressionTensor Programs

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

    Sep 7, 2026Alex Goessmann, Martin EigelTensor NetworksEntropy-Regularized Equilibrium Selection

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

    Sep 3, 2026Matthias C. Caro, Natalie McHugh, Sergii StrelchukTensor NetworksGraph Theory

  16. Hardware-Aware FP4 FlashAttention-4

    Sep 3, 2026Robert HuQuadratic AttentionTensor Programs

  17. Superposed Latent Autoencoder

    Sep 1, 2026Quanling Zhao, Jiaying Yang, Tianqi Zhang +4Masked AutoencodersLatent Representation

  18. Stochastic Optimization of Tree Tensor Networks

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

  19. Higher Structures in Deep Learning

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

  20. 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

  21. Knowledge-guided Pattern Discovery via Coupled Tensor Factorizations

    Aug 13, 2026Gaute Johannessen, Geert Roelof van der Ploeg, Evrim AcarMatrix FactorizationMetabolic

  22. sLTN: Structural Logic Tensor Networks

    Aug 11, 2026Davide Rinaldi, Luciano SerafiniTensor NetworksLinear Temporal Logics

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

    Aug 11, 2026Karl Pierce, Yuehaw Khoo, Haizhao YangHigh-Dimensional DataTensor Networks

  24. Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4

    Aug 10, 2026Matt J. Borowski, Blazej OsinskiTensor ProgramsGraphics Processing Unit Kernels

  25. SwiftQK: Fast and Communication-Efficient Tensor Parallelism for Query-Key Normalization

    Aug 10, 2026Gyudong Kim, Wonjun Han, Young Geun KimTensor ProgramsQuadratic Attention

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

    Aug 8, 2026Yuxuan Gu, Wuyang Zhou, Huijun Xing +1Residual ConnectionsBillion-Parameter Models

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

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

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

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

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

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

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

    Aug 4, 2026Kaamil Kaka, Audrey Der, Evangelos E. Papalexakis +2Time SeriesTensor

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

    Aug 4, 2026Yvan RichardTensor

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

    Aug 3, 2026Chuyan Chen, Peng Sun, Kun YuanMultimodal Diffusion TransformersMuon

  33. Lossless Tensor Compression as Program Synthesis

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

  34. Quaternion Tensor Modeling for Joint Color-Polarization Demosaicking

    Aug 3, 2026Yanqing Song, Jifei Miao, Chaoqian Li +3Infrared-Visible Image FusionPolarization

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

    Jul 30, 2026Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner +1Tensor ProgramsHigher Order

  36. At-the-Roofline Sparse Tensor Contractions on Vector Processors for Transformer Inference

    Jul 28, 2026Bowen Wang, Chi Zhang, Diyou Shen +3Tensor ProgramsSparse Deep Neural Network Accelerators

  37. X-Stage: Modeling Post-Issue Backpressure in GPU Communication--Computation Fusion

    Jul 25, 2026Jianwen Xian, Zhiyuan Xu, Yuchen Li +9Tensor ProgramsGraphics Processing Unit Kernels

  38. RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory

    Jul 23, 2026Zahra Yousefijamarani, Alaa AlameldeenTransformer AttentionTransformer Architectures

  39. 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

  40. BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators

    Jul 21, 2026Fabian Waschkowski, Prabod Rathnayaka, Lukas WesemannLLM Inference EfficiencyAccelerator

  41. Sobek: Streaming Equivariant Tensor Product Convolutions

    Jul 20, 2026Vladimir Chorošajev, Cédric BényTensor ProgramsGraph Neural Networks

  42. Kernel Regression with Tensor Trains and Hadamard Overparameterization

    Jul 19, 2026Duc Thien Nguyen, Konstantinos Slavakis, Eleftherios Kofidis +1TensorOver-Parameterized Neural Networks

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

    Jul 17, 2026Niccolò Ciolli, Anders Vestergaard Nørskov, Michael Kastoryano +2PolynomialsTensor Programs

  44. Multi-agent Autoformalization of Tensor Network Theory

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

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

    Jul 8, 2026Roxana Barrios, Ioannis SgouralisHidden Markov ModelsMatrix Factorization

  46. Quantitative Gaussian-Process limits of Tensor Programs

    Jul 7, 2026Andrea Agazzi, Eloy Mosig García, Dario TrevisanGaussian ProcessInfinite-Width Gaussian Limit

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

    Jul 3, 2026Joan BrunaMultiscaleTensor

  48. When AI meets quantum information: A comprehensive review

    Jul 1, 2026Min Chen, Yu Gan, Xin Jin +15Quantum Approximate Optimization AlgorithmTensor Networks

  49. From Tensor Buffer to Distributed Memory Hierarchy: A Survey of KV Cache Management for LLM Serving

    Jun 30, 2026Jie Li, Tongyang Wang, Yong ChenCacheLarge Language Model Serving

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

    Jun 30, 2026Hiroki Takeda, Yuto Miyatake, Daisuke FurihataTensor ProgramsReconstruction Quality

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

    Jun 29, 2026Songxin Zhang, Zejian Xie, Zhuoyang Song +4ParallelSequence Modeling

  52. First-Order Temporal Logic Tensor Networks

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

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

    Jun 28, 2026Can Polat, Erchin Serpedin, Mustafa Kurban +1Interatomic PotentialsCosine Similarity

  54. Modelling Emotional Memory in Children with Tensor Networks

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

  55. Axon: A Synthesizing Superoptimizer for Tensor Programs

    Jun 24, 2026Akash Kothari, Shaowei Zhu, Daniel Kroening +1Tensor ProgramsAccelerator

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

    Jun 24, 2026Vladimir Bogachev, Vladimir Aletov, Alexander Molozhavenko +2Muon OptimizerAdam

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

    Jun 24, 2026Erdenebileg Batbaatar, Young YoonFederated LearningPrivacy-Preserving Framework

  58. Two-dimensional Hyperbolic RNN Neural Quantum State

    Jun 24, 2026H. L. DaoQuantum Neural NetworksTwo-Dimensional Ising Model

  59. Test-Input Generation for Tensor Programs: What Actually Finds Kernel Bugs

    Jun 23, 2026Dipankar SarkarFuzzingTensor Programs

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

    Jun 23, 2026Carlos Mundo-Levano, Nicolás Bello, Daniel L. Lau +1HypergraphsTensor