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Papers matching “matrix rank” 79

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Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank
2020 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut

2

citations
Gradient descent for deep matrix factorization: Dynamics and implicit bias towards low rank
2023 Applied and Computational Harmonic Analysis article Computer Science Stochastic Gradient Optimization Techniques

Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut

14

citations
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias Towards Low Rank
2022 SSRN Electronic Journal preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut

5

citations
Weakly Supervised Regression Using Manifold Regularization and Low-Rank Matrix Representation
2021 Lecture notes in computer science conference-paper Computer Science Face and Expression Recognition

Vladimir Berikov, Alexander Litvinenko

5

citations
Stable low-rank matrix recovery from 3-designs
2026 Applied and Computational Harmonic Analysis article Engineering Sparse and Compressive Sensing Techniques

Timm Gilles

0

citations
Deviation matrix in denumerable Markov processes: Characterisation, rank-one perturbation and restart
2025 The Annals of Applied Probability article Mathematics Probability and Statistical Research Open access

Konstantin E. Avrachenkov

0

citations
Julia code for "Low-Rank Eigenvalue Solvers for Block-Sparse Matrix Product States"
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Matrix Theory and Algorithms Open access

Markus Bachmayr, M Götte, Sebastian Krämer

0

citations
Julia code for "Low-Rank Eigenvalue Solvers for Block-Sparse Matrix Product States"
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Matrix Theory and Algorithms Open access

Markus Bachmayr, M Götte, Sebastian Krämer

0

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
Low-Order Controllers for Active Noise Cancellation Based on Hankel Matrix Rank Minimization
2024 International Workshop on Acoustic Signal Enhancement conference-paper Engineering Advanced Adaptive Filtering Techniques

Florian Hilgemann, Peter Jax

1

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
Structural conserved moiety splitting of a stoichiometric matrix
2020 Journal of Theoretical Biology article Biochemistry, Genetics and Molecular Biology Gene Regulatory Network Analysis Open access

Susan Ghaderi, Hulda S. Haraldsdóttir, Masoud Ahookhosh, Sylvain Arreckx, Ronan M. T. Fleming

7

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
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
Robust recovery of low-rank matrices with non-orthogonal sparse decomposition from incomplete measurements
2020 Applied Mathematics and Computation article Engineering Sparse and Compressive Sensing Techniques Open access

Massimo Fornasier, Johannes Maly, Valeriya Naumova

5

citations
Computing tensor operator exponentials within low‐rank tensor formats with application to the parameter‐dependent multigrid method
2023 PAMM article Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Tim A. Werthmann

0

citations
Asymptotic Log-Det Rank Minimization via (Alternating) Iteratively Reweighted Least Squares
2021 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Sebastian Krämer

1

citations
Marginals Matrix Under a Generalized Mallows Model Based on the Power Divergence
2023 Studies in classification, data analysis, and knowledge organization conference-paper Mathematics Probability and Statistical Research

Maria Kateri, Nikolay Ivanov Nikolov

0

citations
Tensor theta norms and low rank recovery
2020 Numerical Algorithms article Engineering Sparse and Compressive Sensing Techniques Open access

Holger Rauhut, Željka Stojanac

17

citations
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions -- Low-Rank Tensor Approximations
2021 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Alexander Litvinenko, Youssef Marzouk, Hermann Georg Matthies, Marco Scavino, Alessio Spantini

0

citations
Penalized reduced rank regression for multi-outcome survival data supports a common metabolic risk score for age-related diseases
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Mathematics Statistical Methods and Inference Open access

Marije H. Sluiskes, Hein Putter, Marian Beekman, Jelle J. Goeman, Mar Rodríguez‐Girondo

0

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
Unisingular representations of rank 1 finite simple groups of Lie type
2026 Communications in Algebra article Mathematics Finite Group Theory Research Open access

0

citations
Double-layer multi-criteria group decision-making approach using neutralized possibility degree-based decision matrix with fuzzy information
2024 Engineering Applications of Artificial Intelligence article Decision Sciences Multi-Criteria Decision Making Open access

Sepehr Hendiani, Grit Walther

5

citations