Low-Rank Approximation

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

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  1. Thermal background reduction for mid-infrared imaging by low-rank background and sparse point-source modelling

    Apr 24, 2026R. A. R. Moens, A. G. M. Pietrow, B. Brandl +1Low-Rank Approximation

    Delft Center for Systems and Control, Delft University of Technology, Mekelweg 2, 2628 CD Delft, Netherlands · Leibniz-Institut für Astrophysik Potsdam (AIP), An der Sternwarte 16, 14482 Potsdam, Germany. · Centre for Mathematical Plasma Astrophysics, KU Leuven, Celestijnenlaan 200B, B-3001 Leuven, Belgium. +4

  2. Low-Rank Adaptation Redux for Large Models

    Apr 23, 2026Bingcong Li, Yilang Zhang, Georgios B. GiannakisAdapter TuningLow-Rank Adaptation

    Dept. of CS, ETH Zürich, Switzerland · Dept. of ECE, U. of Minnesota, USA · Morgan Stanley, USA

  3. Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks

    Apr 20, 2026Aoran Zhang, Tianyao Wei, Maria J. Guerrero +1Sparse RecoveryNon-Negative Matrix Factorization

    Department of Electrical and Computer Engineering and the Ken Kennedy Institute, Rice University · Department of Computational and Applied Mathematics, Rice University

  4. LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization

    Apr 20, 2026Yann Bouquet, Alireza Khodamoradi, Sophie Yáng Shen +2Mixed-Precision QuantizationDiffusion Transformer

    Research and Advancement Development Team, Advanced Micro Devices, Inc, USA · Computer Vision Laboratory, Ecole Polytechnique F´ed´erale de Lausanne, Lausanne, Switzerland.

  5. Predicting LLM Compression Degradation from Spectral Statistics

    Apr 20, 2026Mingxue XuLLM CompressionLow-Rank Matrix Decomposition

    Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom

  6. LASER: Low-Rank Activation SVD for Efficient Recursion

    Apr 19, 2026Ege Çakar, Ketan Ali Raghu, Lia ZhengLow-Rank Matrix DecompositionRecurrent Neural Networks

    Harvard University Cambridge, MA, USA

  7. Attention-Weighted Value Projection for KV-Cache Compression

    Apr 13, 2026Samuel SalfatiGrouped-Query AttentionKV Caching

    fraQtl AI Research

  8. LRConv-NeRV: Low Rank Convolution for Efficient Neural Video Compression

    Mar 18, 2026Tamer ShanablehVideo Representation LearningNeural Video Compression

    American University of Sharjah, UAE, Department of Computer Science and Engineering

  9. Regular Fourier Features for Nonstationary Gaussian Processes

    Feb 26, 2026Arsalan Jawaid, Abdullah Karatas, Jörg SeewigFourier Feature EmbeddingsGaussian Processes

    Institute of Measurement and Sensor Technology, University of Kaiserslautern-Landau, Kaiserslautern, Germany · Independent Researcher, Mannheim, Germany

  10. Stabilizing Native Low-Rank LLM Pretraining

    Feb 12, 2026Paul Janson, Edouard Oyallon, Eugene BelilovskyLanguage Model PretrainingLow-Rank Matrix Decomposition

    Concordia University, Montreal, Canada · Mila Quebec AI Institute, Montreal, Canada · Sorbonne University, CNRS, Paris, France

  11. FairLRF: Achieving Fairness through Sparse Low Rank Factorization

    Nov 20, 2025Yuanbo Guo, Jun Xia, Yiyu ShiAlgorithmic FairnessGroup Fairness

    University of Notre Dame Notre Dame, Indiana, USA

  12. BALF: Budgeted Activation-Aware Low-Rank Factorization for Fine-Tuning-Free Model Compression

    Sep 29, 2025David González-MartínezLow-Rank Matrix DecompositionLow-Rank Compression

    Department of Computer Science and Artificial Intelligence, Universidad de Sevilla · Tübingen AI Center

  13. Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training

    Sep 15, 2025Chuan He, Zhanwang Deng, Zhaosong LuNeural Network OptimizationLow-Rank Approximation

    Department of Mathematics Linköping University, Sweden · Academy for Advanced Interdisciplinary Studies Peking University, Beijing, People’s Republic of China · Department of Industrial and Systems Engineering University of Minnesota, USA

  14. Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration

    Jul 29, 2025Tavor Z. Baharav, Phillip B. Nicol, Rafael A. Irizarry +1Low-Rank ApproximationSingular Value Decomposition

    Eric and Wendy Schmidt Center, Broad Institute, Cambridge, MA, 02142, USA · Department of Data Science, Dana Farber Cancer Institute, Boston, MA, 02115, USA · Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA

  15. Generalized Fisher-Weighted SVD: Scalable Kronecker-Factored Fisher Approximation for Compressing Large Language Models

    May 23, 2025Viktoriia Chekalina, Daniil Moskovskiy, Tatiana Matveeva +2Model CompressionLLM Compression

    1Fusion Brain · 2MSU · 3AXXX +2

  16. Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors

    Oct 8, 2024Joseph K. Chege, Arie Yeredor, Martin HaardtBayesian InferenceTensor Decomposition

    Communications Research Laboratory, Ilmenau University of Technology, Ilmenau, Germany · School of Electrical and Computer Engineering, Tel Aviv University, Tel Aviv, Israel