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Papers matching “low-rank tensor representation” 13

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Low-rank tensor methods for partial differential equations
2023 Acta Numerica article Mathematics Tensor decomposition and applications Open access

Markus Bachmayr

42

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
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
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
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
Iterative algorithms for the post-processing of high-dimensional data
2020 Journal of Computational Physics article Mathematics Tensor decomposition and applications

Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann Georg Matthies, Elmar Zander

12

citations
Spectral envelopes of facial movements predict intention, cortical representations, and neural prosthetic control
2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Face Recognition and Perception Open access

Richard Hakim, Naoshige Uchida, Sandeep Robert Datta, Simon Musall, Bernardo Luis Sabatini

1

citations
Computing f‐divergences and distances of high‐dimensional probability density functions
2022 Numerical Linear Algebra with Applications article Mathematics Tensor decomposition and applications Open access

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

5

citations
A parameter-dependent smoother for the multigrid method
2020 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Lars Grasedyck, Maren Klever, Christian Löbbert, Tim A. Werthmann

0

citations
Elastic Multi-view Subspace Clustering with Pairwise and High-order Correlations
2023 IEEE Transactions on Knowledge and Data Engineering article Computer Science Advanced Clustering Algorithms Research

Yalan Qin, Nan Pu, Hanzhou Wu

38

citations

13 results