Low-Rank Approximation

Ask about this topic

Momentum

8 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 76

All topics
CardsList

  1. Low-rank tensor structure of precipitation and its application to satellite-reference merging

    Oct 7, 2026Ryan Solgi, Rohan Shankar, Hugo A. LoaicigaLow-Rank ApproximationRemote Sensing

    Department of Geography, University of California-Santa Barbara, CA, USA · Department of Electrical and Computer Engineering, University of California-Santa Barbara, CA, USA · Department of Computer Science, Cornell University, NY, USA

  2. D-SLR: The Disjoint Row-Sparse plus Low-Rank Decomposition

    Oct 7, 2026Vincent SzolnokyLow-Rank Matrix DecompositionLow-Rank Compression

    Department of Mathematical Sciences Chalmers University of Technology

  3. Learning Conditional Expectation Operators via Functional Newton Updates

    Sep 28, 2026Thiago Ramos, Alek Fröhlich, Daniel Perazzo +1Density Ratio EstimationLow-Rank Approximation

    Federal University of São Carlos · CSML, Istituto Italiano di Tecnologia and University of Genoa · CSML, Istituto Italiano di Tecnologia and University College London

  4. Dynamical low-rank equilibrium computation for stochastic games between advanced persistent threats and moving target defense

    Sep 20, 2026Tian Zijian, Zhang He, Chen Xinjie +2Nash Equilibrium ComputationZero-Sum Games

    College of Control Science and Engineering, Zhejiang University, PC 310027, China · Alibaba Group, Hangzhou, China

  5. Principled Koopman Representations with Kalman Inference for Efficient Time-Series Prediction

    Sep 15, 2026Ruiquan Li, Yuheng BuKoopman Operator LearningTime Series Forecasting

    Department of Computer Science, UC Santa Barbara

  6. MoARa: Module-Aware Rank Allocation and Structure-Preserving Decomposition for Low-Rank LLM Pre-training

    Sep 14, 2026Keunyoung Kim, Nojun KwakLanguage Model PretrainingLow-Rank Approximation

    Seoul National University

  7. On the Regularization Landscape for the Linear Recommendation Models

    Sep 12, 2026Dong Li, Zhenming Liu, Ruoming Jin +4Nuclear Norm MinimizationLow-Rank Approximation

    Kent State University, USA · College of William and Mary, USA · iLambda, USA

  8. 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 +13Tensor CompletionTensor Decomposition

    School of Mathematics and Statistics, Southwest University, Chongqing, 400715, China

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

    Sep 8, 2026Shakir Showkat Sofi, Charlotte Vermeylen, Fatemeh Mohammadi +1Quantum State TomographyTT Decomposition

    Leuven.AI - KU Leuven institute for AI, B-3000, Leuven, Belgium · Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium; Group Science, Engineering and Technology, KU Leuven Kulak, Kortrijk, Belgium · Departments of Computer Science and Mathematics, KU Leuven, Leuven, Belgium

  10. Two-Scale Localized PCA-Net: Coarse-Global and Local-Residual Representations for Artifact-Reduced PDE Operator Learning

    Sep 7, 2026Mrigank Dhingra, Jordan Stout, Omer SanPrincipal Component AnalysisReduced-Order Modeling

    Department of Mechanical & Aerospace Engineering University of Tennessee Knoxville, Tennessee 37917, USA · Department of Mathematics and Statistics Boston University Boston, Massachusetts 02215, USA

  11. The Gradient Does Not See Rank: Rank-Indifference in Matrix-CODI on ProsQA

    Sep 2, 2026Samuel LarsonCoT ReasoningLow-Rank Approximation

    Pebble ML

  12. Intrinsic Interaction Geometry Controls the Low-Rank Complexity of Softmax Attention

    Aug 28, 2026Yuhe Sui, Jianing Zhang, Yingzhi TangSoftmax AttentionLow-Rank Attention

    Nanyang Technological University, Singapore · Carnegie Mellon University

  13. SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval

    Aug 4, 2026Lin ZhangLow-Rank AttentionKV Caching

    Data Science and Platform, Cotality

  14. LOCKS: Page-Local Compact Key Summaries for Efficient Long-Context Decoding

    Jul 27, 2026Junsung HwangLow-Rank AttentionKV Caching

  15. DynaCalKV: Key-Value Cache Compression via Head Grouping and Adaptive Rank Allocation

    Jul 27, 2026Tan T. Nguyen, Quan V. DangKV CachingLow-Rank Approximation

    ∗Full Stack Data Science · †Department of Computer Science, University College London

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

    Jul 27, 2026Hiroki HasegawaTensor DecompositionLow-Rank Approximation

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

  17. The Entropic Bound for Transformers: Why Static Rank Fails and Attention-Native Rank Recovers

    Jul 25, 2026Byeong Hoon YoonSoftmax AttentionTransformer Expressivity

    Independent Researcher

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

    Jul 14, 2026Rahul Krishnan, Volker SchulzKV CachingLow-Rank Matrix Decomposition

    Universität Trier · Fachbereich IV, Mathematik, Universität Trier

  19. Graph-Regularized Low-Rank Matrix Completion by Variable Projection

    Jul 10, 2026Benoît Loucheur, P. -A. Absil, Michel JournéeLow-Rank ApproximationMatrix Optimization

    ICTEAM Institute, UCLouvain, 1348 Louvain-la-Neuve, Belgium. · Department of Climatology, Royal Meteorological Institute of Belgium, 1180 Uccle, Belgium.

  20. SLORR: Simple and Efficient In-Training Low-Rank Regularization

    Jul 9, 2026David González-Martínez, Shiwei LiuLLM CompressionLow-Rank Matrix Decomposition

    Max Planck Institute for Intelligent Systems · University of Tübingen · ELLIS Institute Tübingen +1

  21. No Subspace to Track: Non-Identifiability and Optimizer State in Low-Rank Training

    Jul 7, 2026Noel ThomasDeep Learning OptimizationParameter Identifiability

    Mohamed bin Zayed University of Artificial Intelligence

  22. LACE-SVD: Loss-Aware SVD with Cumulative Error Correction for LLM Compression

    Jul 3, 2026Zhuowen Liu, Longkun Hao, Shiyu Feng +3Model CompressionLLM Compression

    Zhuowen Liu1 · Longkun Hao2 · Shiyu Feng3 +3

  23. SVD-Surgeon: Optimal Singular-Value Surgery for Large Language Model Compression

    Jun 22, 2026Mahmoud Safari, Frank HutterLLM PruningLLM Compression

    University of Freiburg · Prior Labs · ELLIS Institute Tübingen

  24. UniRank: Unified Rank Allocation for Low-Rank LLM Compression

    Jun 20, 2026Chao Han, Yongjie Du, Junjie Tan +1LLM CompressionLow-Rank Matrix Decomposition

    Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo

  25. Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs

    Jun 18, 2026Nico Harder, Daniel Becking, Karsten Mueller +1LLM CompressionLow-Rank Matrix Decomposition

    Fraunhofer HHI, Berlin, Germany

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

    Jun 17, 2026Shan Fan, Feng Zhang, Jianjun Wang +2Tensor CompletionNonconvex Optimization

    School of Mathematics and Statistics, Southwest University, Chongqing 400715, China · School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu 611731, China · Faculty of Computer Science and Control Engineering, Shenzhen University of Advanced Technology, Shenzhen 518055, China

  27. Active Learning with Low-Rank Structure for Data Selection

    Jun 14, 2026Vincent Cohen-Addad, Sasidhar Kunapuli, Vahab Mirrokni +3Active LearningData Selection

    Google Research. · University of California, Berkeley. · Institute of Science and Technology Austria (ISTA). +2

  28. Schmidt Decomposition-Based Methods for Efficient Quantum Image Encoding

    Jun 9, 2026Ana-Maria Pangeva, Yassine Ferhi, Alexander Geng +3Low-Rank ApproximationQuantum State Preparation

    Fraunhofer Institute for Industrial Mathematics ITWM · Technical University of Sofia · Sofia, Bulgaria +6

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

    Jun 7, 2026Toshiaki Koike-Akino, Jing Liu, Ye WangTensor NetworksLLM Compression

    Mitsubishi Electric Research Laboratories (MERL), 20 Broadway, Cambridge, MA 02139, USA.

  30. STAR-KV: Low-Rank KV Cache Compression via Soft Thresholding for Adaptive Rank Control

    Jun 7, 2026Priyansh Bhatnagar, Ashkan Moradifirouzabadi, Se-Hyun Yang +3Mixed-Precision QuantizationKV Caching

    University of California San Diego, San Diego, CA, USA · Dnotitia Inc., Seoul, Republic of Korea · Hanyang University, Seoul, Republic of Korea