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Papers in Tensor decomposition and applications 31

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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
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
Reconstructing Disease Histories in Huge Discrete State Spaces
2024 Künstliche Intell. article Mathematics Tensor decomposition and applications Open access

Rudolf Schill, Maren Klever, Kevin Rupp, Y. Linda Hu, Peter Georg, Simon Pfahler, +5 more

11

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
Algorithm 1026: Concurrent Alternating Least Squares for Multiple Simultaneous Canonical Polyadic Decompositions
2022 ACM Transactions on Mathematical Software article Mathematics Tensor decomposition and applications Open access

Christos Psarras, Lars Karlsson, Rasmus Bro, Paolo Bientinesi

6

citations
Homomorphism Tensors and Linear Equations
2025 Advances in Combinatorics article Mathematics Tensor decomposition and applications Open access

Martin Grohe, Gaurav Rattan, Tim Seppelt

5

citations
Homomorphism Tensors and Linear Equations
2022 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Mathematics Tensor decomposition and applications Open access

Martin Grohe, Gaurav Rattan, Tim Seppelt

5

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
Taming numerical imprecision by adapting the KL divergence to negative probabilities
2024 Statistics and Computing article Mathematics Tensor decomposition and applications Open access

Simon Pfahler, Peter Georg, Rudolf Schill, Maren Klever, Lars Grasedyck, Rainer Spang, +1 more

4

citations
Bayesian inversion for electromyography using low-rank tensor formats
2021 Inverse Problems article Mathematics Tensor decomposition and applications Open access

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

3

citations
A Comparison Study of Supervised Learning Techniques for the Approximation of High Dimensional Functions and Feedback Control
2024 Dynamic Games and Applications article Mathematics Tensor decomposition and applications Open access

Mathias Oster, Luca Saluzzi, Tizian Wenzel

2

citations
The landscape of software for tensor computations
2021 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Christos Psarras, Lars Karlsson

2

citations
Dynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations
2025 Numerische Mathematik article Mathematics Tensor decomposition and applications Open access

Markus Bachmayr, Henrik Eisenmann, André Uschmajew

1

citations
Quasi-orthogonalization for alternating non-negative tensor factorization
2024 ETNA - Electronic Transactions on Numerical Analysis article Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Maren Klever, Sebastian Krämer

1

citations
Asymptotic Log-Det Sum-of-Ranks Minimization via Tensor (Alternating) Iteratively Reweighted Least Squares
2021 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Sebastian Krämer

1

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
Dynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations
2023 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Markus Bachmayr, Henrik Eisenmann, André Uschmajew

1

citations
Higher order normal modes
2020 The Journal of Geometric Mechanics article Mathematics Tensor decomposition and applications Open access

Giuseppe Gaeta, Sebastian Walcher

0

citations
A parameter-dependent smoother for the multigrid method
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

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

0

citations
IDENTIFICATION OF UNKNOWN PARAMETERS AND PREDICTION WITH HIERARCHICAL MATRICES
2021 UNCECOMP Proceedings conference-paper Mathematics Tensor decomposition and applications Open access

Alexander Litvinenko, Ronald Kriemann, Vladimir Berikov

0

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
Accelerating Jackknife Resampling for the Canonical Polyadic Decomposition
2022 Frontiers in Applied Mathematics and Statistics article Mathematics Tensor decomposition and applications Open access

Christos Psarras, Lars Karlsson, Rasmus Bro, Paolo Bientinesi

0

citations
Accelerating jackknife resampling for the Canonical Polyadic Decomposition
2021 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Christos Psarras, Lars Karlsson, Rasmus Bro, Paolo Bientinesi

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
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