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Papers matching “low-rank models” 37

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Low-rank tensor methods for Markov chains with applications to tumor progression models
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Maren Klever, Rudolf Schill, Rainer Spang, Tilo Wettig

0

citations
Low-rank tensor methods for Markov chains with applications to tumor progression models
2022 Journal of Mathematical Biology article Mathematics Tensor decomposition and applications Open access

Peter Georg, Lars Grasedyck, Maren Klever, Rudolf Schill, Rainer Spang, Tilo Wettig

10

citations
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models
2024 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Zhaojia Liu, Jiawen Lyn, Wei Zhu, Xing Tian, Yvette Graham

1

citations
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models
2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access cited by 2 patents

Zhaojia Liu, Jiawen Lyn, Wei Zhu, Xing Tian

31

citations
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
2024 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, +2 more

0

citations
A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone
2025 neural information processing systems conference-paper Computer Science Advanced Neural Network Applications Open access

Qiang Huang, Xinyan Xiao, Zhaochun Ren, Jun Yu

1

citations
Iterative thresholding low-rank time integration
2025 RWTH Publications (RWTH Aachen) preprint Mathematics Numerical methods for differential equations Open access

Markus Bachmayr, Matthieu Dolbeault, Polina Sachsenmaier

0

citations
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
2024 Annual Meeting of the Association for Computational Linguistics (ACL) conference-paper Computer Science Topic Modeling Open access

Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, +2 more

16

citations
ASLoRA: Adaptive Sharing Low-Rank Adaptation Across Layers
2025 SSRN Electronic Journal preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Junyan Hu, J. X. Xue, Mengya Zhang, Yao Chen, Zhaochun Ren, Shu Wu, +2 more

0

citations
Julia code for "Sparse and low-rank approximations of parametric elliptic PDEs: the best of both worlds"
2026 Zenodo (CERN European Organization for Nuclear Research) software Physics and Astronomy Model Reduction and Neural Networks Open access

Markus Bachmayr, Huqing Yang

0

citations
Julia code for "Sparse and low-rank approximations of parametric elliptic PDEs: the best of both worlds"
2026 Zenodo (CERN European Organization for Nuclear Research) software Physics and Astronomy Model Reduction and Neural Networks Open access

Markus Bachmayr, Huqing Yang

0

citations
Solving weakly supervised regression problem using low-rank manifold regularization
2021 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Vladimir Berikov, Alexander Litvinenko

2

citations
Sparse and low-rank kinetic distribution estimation
2026 arXiv (Cornell University) preprint Mathematics Gas Dynamics and Kinetic Theory Open access

Georgii Oblapenko, Lambert Theisen, Rostislav‐Paul Wilhelm, Michael Herty, Manuel Torrilhon

0

citations
Low-rank tensor methods for high-dimensional parameter-dependent PDEs: eigenvalue estimation, approximate inverses, and multigrid methods
2026 RWTH Publications (RWTH Aachen) dissertation Mathematics Tensor decomposition and applications Open access

Tim A. Werthmann

0

citations
Bayesian inversion for electromyography using low-rank tensor formats
2021 Inverse Problems article Mathematics Numerical methods in inverse problems Open access

Anna Rörich, Tim A. Werthmann, Dominik Göddeke, Lars Grasedyck

3

citations
Low-rank eigenvalue solvers for block-sparse matrix product states
2026 arXiv (Cornell University) preprint Computer Science Matrix Theory and Algorithms Open access

Markus Bachmayr, Sebastian Krämer, Max J. Pfeffer

0

citations
Geometry of linear low rank tensor recovery via nuclear p-norms and their theta norm relaxations
2026 RWTH Publications (RWTH Aachen) dissertation Engineering Sparse and Compressive Sensing Techniques Open access

Yuhuai Zhou

0

citations
Structured low‐rank reconstruction for navigator‐free water/fat separated multi‐shot diffusion‐weighted EPI
2023 Magnetic Resonance in Medicine article Medicine Advanced MRI Techniques and Applications Open access

Yiming Dong, Kirsten Koolstra, Ziyu Li, Malte Riedel, Matthias J.P. van Osch, Peter Börnert

8

citations
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2022 SIAM/ASA Journal on Uncertainty Quantification article Mathematics Tensor decomposition and applications Open access

Sergey Dolgov, Lars Grasedyck, Robert Scheichl

20

citations
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Robert Scheichl

1

citations
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture
2020 Annual Meeting of the Association for Computational Linguistics (ACL) conference-paper Computer Science Advanced Neural Network Applications Open access

Christopher Brix, Parnia Bahar, Hermann Ney

22

citations
Reduced-Cost Construction of Jacobian Matrices for High-Resolution Inversions of Satellite Observations of Atmospheric Composition
2020 preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access

Hannah O. Nesser, Daniel J. Jacob, Joannes D. Maasakkers, Tia R. Scarpelli, Melissa Payer Sulprizio, Yuzhong Zhang, +1 more

8

citations
Enhancing Tool Wear Segmentation with LoRA-SAM and Point Prompts
2025 Procedia CIRP article Computer Science Advanced Neural Network Applications Open access

Zongshuo Li, Markus Meurer, Miguel Panesso, Welf‐Guntram Drossel, Thomas Bergs

0

citations
CAMEC: Complexity-Aware Multi-Expert Collaboration for Reliable Chinese Medical Question Answering
2026 Annual Meeting of the Association for Computational Linguistics (ACL) conference-paper Medicine Artificial Intelligence in Healthcare and Education Open access

Yukang Wu, Xiyuan Jia, Jiayi Wu, HongChen Yu, Yuhan Qiu, Wu Guohua

0

citations
On data and knowledge transfer efficiency in deep learning
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Domain Adaptation and Few-Shot Learning Open access

Alessio Quercia

0

citations