Tensor Programs

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

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

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

    Jun 22, 2026Liangsheng He, Chao Song, Tiansheng Chen +2Discrete Wavelet TransformFull Waveform Inversion

  3. Demystifying Numerical Instability in LLM Inference: Achieving Reproducible Inference for Mission-Critical Tasks with HEAL

    Jun 19, 2026Zhenting Zhu, Lucas Thai, Shan Yu +5Full-Precision PerformanceLLM Inference Efficiency

  4. Tensor-based second-order causal discovery

    Jun 16, 2026Nathan Ouyang, Kexin Wang, Anna SeigalCausal Foundation ModelsCovariance Estimation

  5. TIGER: Inverting Transformer Gradients via Embedding-Subspace Distance Optimization

    Jun 16, 2026William Kalikman, Ivo Petrov, Dimitar I. Dimitrov +1Federated LearningTransformer Architectures

  6. Petrov-Galerkin Variational Physics-Informed Neural Network Framework for Two-Dimensional Singularly Perturbed Problems

    Jun 15, 2026Vijay Kumar, Gautam SinghBoundary Value ProblemsBayesian Quadrature

  7. Realizing Native INT8 Compute for Diffusion Transformers on Consumer GPUs: A Fused INT8 GEMM Kernel for Ideogram 4.0

    Jun 12, 2026Ali Asaria, Tony Salomone, Deep GandhiMultimodal Diffusion TransformersSystematic Fp16 Divergence

  8. Performance Analysis and Optimization of 3D Generative Diffusion Models across GPU Architectures

    Jun 11, 2026Jeeho Ryoo, Yongchan Jung, Muhammad Ali Khaliq +33D Latent Diffusion ModelTensor Programs

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

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

  10. Recursive Binding on a Budget: Subspace Carving in Order-p Tensor Memories

    Jun 9, 2026Travis Pence, Daisuke Yamada, Vikas SinghTensorTensor Programs

  11. Improved Representation of Matrix Lie Group Operations through Tensor Notation

    Jun 9, 2026Clark TaylorLie GroupTensor

  12. Toward Compiler World Models: Learning Latent Dynamics for Efficient Tensor Program Search

    Jun 8, 2026Haolin Pan, Lianghong Huang, Xvlin Zhou +2Tensor ProgramsPytorch

  13. APEX4: Efficient Pure W4A4 LLM Inference via Intra-SM Compute Rebalancing

    Jun 7, 2026Hong Guo, Nianhui Guo, Weixing Wang +3W4A4 QuantizationTensor Programs

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

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

  15. HyperVis: Continuous Latent Visual Relational Graphs on the Lorentz Hyperboloid for Compositional Reasoning

    Jun 4, 2026Moshiur Farazi, Sameera Ramasinghe, Mahbub Ahmed Turza +1HypertoolHyperbolic Space

  16. MusaCoder: Native GPU Kernel Generation with Full-Stack Training on Moore Threads GPU

    Jun 3, 2026Kun Cheng, Songshuo Lu, Sicong Liao +7Graphics Processing Unit KernelsLarge Models

  17. LimiX-2M: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models

    Jun 3, 2026Yuanrui Wang, Xingxuan Zhang, Han Yu +7Tabular Foundation ModelsTensor Programs

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

    Jun 3, 2026Yaqian Zhan, Jialan He, Tianzhu ChenHyperparameter OptimizationModel Weights

  19. Operator Fusion for LLM Inference on the Tensix Architecture

    Jun 3, 2026Qingbo Wu, Ke Li, Wenzhu Wang +3Tensor ProgramsSparse Deep Neural Network Accelerators

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

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

  21. What Do Students Learn? A Feature-Level Analysis of Dark Knowledge

    Jun 2, 2026Seungu Kang, Songkuk KimKnowledge DistillationFeature Learning

  22. 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 SearchAlphaevolve

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

    Jun 1, 2026Farzaneh Heidari, Guillaume RabusseauShapley ValueTensor Networks

  24. Sparse-View Lung Nodule Volumetry from Digitally Reconstructed Radiographs via AReT: Anatomy-Regularized TensoRF

    May 31, 2026Spoorthi M, Suja PalaniswamyLung-Nodule DetectorTransmissive X-Ray Imaging

  25. Spectra-Guided Neural Tucker Factorization

    May 30, 2026Fusheng Wang, Yikai HouTensor CompletionTensor

  26. Finer Parameter Steps for Low-Rank PEFT: A Controlled Study with CP Tensor Adapters

    May 29, 2026Xinjue Wang, Xiuheng Wang, Yejun Zhang +3Low-Rank Adaptation AdaptersLow-Rank Adaptation

  27. On Efficient Scaling of GNNs via IO-Aware Layers Implementations

    May 29, 2026Daria Fomina, Daniil Krasylnikov, Alexey Boykov +3Graph Neural NetworksGraphics Processing Unit Kernels

  28. Graphical einops: bridging tensor networks and computation graphs

    May 29, 2026Vincent Wang-Maścianica, Nikhil KhatriTensor NetworksTensor Programs

  29. Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended

    May 29, 2026Aditya K Kamath, Arvind Krishnamurthy, Marco Canini +1Large Language Model CompressionContext Compression

  30. Revisiting Padded Transformer Expressivity: Which Architectural Choices Matter and Which Don't

    May 28, 2026Anej Svete, William Merrill, Ryan Cotterell +1Transformer AttentionTransformer Architectures

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

    May 28, 2026Andrzej Cichocki, Michal WietczakTensor NetworksModern Deep Networks

  32. SANA-Streaming: Real-time Streaming Video Editing with Hybrid Diffusion Transformer

    May 28, 2026Yuyang Zhao, Yicheng Pan, Qiyuan He +6Video EditingStreaming Video

  33. A Novel Tensor Product-Based Neural Network for Solving Partial Differential Equations

    May 28, 2026Qihong Yang, Yangtao Deng, Qiaolin He +1Neural Partial Differential Equation SolversPartial Differential Equation Benchmarks

  34. RW-TTT: Batched Serving for Request-Owned Test-Time Training State

    May 27, 2026Jian Yang, Zhizhuo Kou, Yao Tian +4Large Language Model ServingPer-Token Latency

  35. Tensor Memory: Fixed-Size Recurrent State for Long-Horizon Transformers

    May 26, 2026Kabir Swain, Sijie Han, Daniel Karl I. Weidele +2Recurrent StateRecurrent Model

  36. Step-TP: A Grounded, Step-Level Dataset with Chain-of-Thought Reasoning for LLM-Guided Tensor Program Optimization

    May 25, 2026Mengfan Liu, Da Zheng, Junwei Su +1Tensor ProgramsCode Optimization

  37. Modeling Dynamic Mixtures of Time-Delay Systems from Streaming Time Series

    May 25, 2026Ren Fujiwara, Yasuko Matsubara, Yasushi SakuraiDelayMixture Models

  38. Optimizing Multidimensional Scaling in Gini Metric Spaces

    May 24, 2026Cassandra Mussard, Stéphane MussardMaximum Mean DiscrepancyGaussian Mixture Models

  39. Tensor Cache: Eviction-conditioned Associative Memory for Transformers

    May 21, 2026Kabir Swain, Sijie Han, Daniel Karl I. Weidele +2Tensor ProgramsSliding-Window Attention

  40. A Typed Tensor Language for Federated Learning

    May 20, 2026Theofilos Mailis, Kalliopi-Christina Despotidou, Konstantinos Filippopolitis +6Federated LearningTensor Programs

  41. Sutra: Tensor-Op RNNs as a Compilation Target for Vector Symbolic Architectures

    May 20, 2026Emma LeonhartPytorchTensor Programs

  42. Instant GPU Efficiency Visibility at Fleet Scale

    May 20, 2026Connor Pedersen, Dong H. Ahn, Michel Migdal +2Single Graphics Processing UnitHigh-Performance Computing

  43. Group-Algebraic Tensors: Provably-optimal Equivariant Learning and Physical Symmetry Discovery

    May 19, 2026Paulina Hoyos, Shashanka Ubaru, Dongsung Huh +5TensorSymmetry

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

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

  45. Fast Tensorization of Neural Networks via Slice-wise Feature Distillation

    May 19, 2026Safa Hamreras, Sukhbinder Singh, Román OrúsTensor ProgramsContext Compression

  46. Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection

    May 18, 2026Elynn Chen, Jiayu Li, Zheshi Zheng +1TensorFinite-Sample

  47. Maximum Likelihood Decoding of Quantum Error Correction Codes

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

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

    May 16, 2026Jean Philip Filling, Daniel Franzen, Michael WandMolecular Property PredictionTensor Networks

  49. Conflict-Free Replicated Data Types for Neural Network Model Merging: A Two-Layer Architecture Enabling CRDT-Compliant Model Merging Across 26 Strategies

    May 16, 2026Ryan GillespieModel MergingReplication

  50. Tensor Cookbook: Mastering Tensors through Diagrams

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

  51. Winning Lottery Tickets in Neural Networks via a Quantum-Inspired Classical Algorithm

    May 13, 2026Natsuto Isogai, Hayata Yamasaki, Sho Sonoda +1Quantum Machine LearningQuantum Approximate Optimization Algorithm

  52. Multi-Scale Dequant: Eliminating Dequantization Bottleneck via Activation Decomposition for Efficient LLM Inference

    May 13, 2026Lingchao Zheng, Yuwei Fan, Jun Li +5QuantizerSystematic Fp16 Divergence

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

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

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

    May 11, 2026Sean Feeney, Pooja Rao, Andreas Klappenecker +5Quantum Circuit SimulationConjecture

  55. Low-Cost Neural Radiance Fields

    May 10, 2026Alice Huang, Prathamesh Sonawane, Yashdeep Thorat +1Neural Radiance FieldsNovel View Synthesis

  56. DiffATS: Diffusion in Aligned Tensor Space

    May 10, 2026Jinhua Lyu, Tianmin Yu, Brian Kim +3TensorTensor Programs

  57. Compact SO(3) Equivariant Atomistic Foundation Models via Structural Pruning

    May 9, 2026Chen Wang, Siyu Hu, Guangming Tan +1Equivariant Neural NetworksWireless Foundation Models

  58. SceneFactory: GPU-Accelerated Multi-Agent Driving Simulation with Physics-Based Vehicle Dynamics

    May 8, 2026Yicheng Zhu, Yang Chen, Tao Li +1Autonomous Driving SimulationWaymo Open Motion Dataset

  59. Criticality and Saturation in Orthogonal Neural Networks

    May 7, 2026Max Guillen, Jan E. GerkenTwo-Layer Neural NetworksOrthogonality

  60. Tile-Level Activation Overlap for Efficient LLM Inference

    May 5, 2026Abhinav Jangda, Tyler Sorensen, Sebastian Burckhardt +3Tensor ProgramsQuadratic Attention