Lieven De Lathauwer

Lieven De Lathauwer

Katholieke Universiteit Leuven

H-index: 61

Europe-Belgium

About Lieven De Lathauwer

Lieven De Lathauwer, With an exceptional h-index of 61 and a recent h-index of 40 (since 2020), a distinguished researcher at Katholieke Universiteit Leuven, specializes in the field of tensor decompositions and applications.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Fast Algorithm for Computing Macaulay Null Spaces of Bivariate Polynomial Systems

On Best Low Rank Approximation of Positive Definite Tensors

Least-squares methods for nonnegative matrix factorization over rational functions

Uniqueness result and algebraic algorithm for decomposition into multilinear rank-$ terms and joint block diagonalization

Factorizer: A scalable interpretable approach to context modeling for medical image segmentation

Tensorlab+: A case study on reproducibility in tensor research

Overdetermined systems of polynomial equations: tensor-based solution and application

Multilinear singular value decomposition of a tensor with fibers observed along one mode*

Lieven De Lathauwer Information

University

Position

___

Citations(all)

22967

Citations(since 2020)

9303

Cited By

18105

hIndex(all)

61

hIndex(since 2020)

40

i10Index(all)

158

i10Index(since 2020)

96

Email

University Profile Page

Katholieke Universiteit Leuven

Google Scholar

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Lieven De Lathauwer Skills & Research Interests

tensor decompositions and applications

Top articles of Lieven De Lathauwer

Title

Journal

Author(s)

Publication Date

A Fast Algorithm for Computing Macaulay Null Spaces of Bivariate Polynomial Systems

SIAM Journal on Matrix Analysis and Applications

Nithin Govindarajan

Raphaël Widdershoven

Shivkumar Chandrasekaran

Lieven De Lathauwer

2024/3/31

On Best Low Rank Approximation of Positive Definite Tensors

SIAM Journal on Matrix Analysis and Applications

Eric Evert

Lieven De Lathauwer

2023/6/30

Least-squares methods for nonnegative matrix factorization over rational functions

IEEE Transactions on Signal Processing

Cécile Hautecoeur

Lieven De Lathauwer

Nicolas Gillis

François Glineur

2023/4/5

Uniqueness result and algebraic algorithm for decomposition into multilinear rank-$ terms and joint block diagonalization

Proc. of 2023 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

E Evert

N Vervliet

I Domanov

Lieven De Lathauwer

2023/12/11

Factorizer: A scalable interpretable approach to context modeling for medical image segmentation

Medical image analysis

Pooya Ashtari

Diana M Sima

Lieven De Lathauwer

Dominique Sappey-Marinier

Frederik Maes

...

2023/2/1

Tensorlab+: A case study on reproducibility in tensor research

Computing in Science & Engineering

Stijn Hendrikx

Raphaël Widdershoven

Nico Vervliet

Lieven De Lathauwer

2023/12/11

Overdetermined systems of polynomial equations: tensor-based solution and application

Raphaël Widdershoven

Nithin Govindarajan

Lieven De Lathauwer

2023/9/4

Multilinear singular value decomposition of a tensor with fibers observed along one mode*

Stijn Hendrikx

Mikael Sørensen

Lieven De Lathauwer

2023/7/2

Guarantees for existence of a best canonical polyadic approximation of a noisy low-rank tensor

SIAM Journal On Matrix Analysis And Applications

Eric Evert

Lieven De Lathauwer

2022

Block row Kronecker-structured linear systems with a low-rank tensor solution

Frontiers in Applied Mathematics and Statistics

Stijn Hendrikx

Lieven De Lathauwer

2022/3/17

Towards more realistic simulations of microstructural evolution in oxidic systems

Calphad

Inge Bellemans

Nico Vervliet

Lieven De Lathauwer

Nele Moelans

Kim Verbeken

2022/6/1

A recursive eigenspace computation for the canonical polyadic decomposition

SIAM Journal on Matrix Analysis and Applications

Eric Evert

Michiel Vandecappelle

Lieven De Lathauwer

2022

Canonical Polyadic Decomposition via the generalized Schur decomposition

IEEE Signal Processing Letters

Eric Evert

Michiel Vandecappelle

Lieven De Lathauwer

2022/3/14

CPD Computation via recursive eigenspace decompositions

Eric Evert

Michiel Vandecappelle

Lieven De Lathauwer

2022/5/23

Early soft and flexible fusion of electroencephalography and functional magnetic resonance imaging via double coupled matrix tensor factorization for multisubject group analysis

Human brain mapping

Christos Chatzichristos

Eleftherios Kofidis

Wim Van Paesschen

Lieven De Lathauwer

Sergios Theodoridis

...

2022/3

Equivalent polyadic decompositions of matrix multiplication tensors

Journal of Computational and Applied Mathematics

Guillaume O Berger

Pierre-Antoine Absil

Lieven De Lathauwer

Raphaël M Jungers

Marc Van Barel

2022/5/1

poster Imaginary--Big Data

Lieven De Lathauwer

Nele Moelans

2022/11/1

Regression and classification with spline-based separable expansions

Frontiers in big Data

Nithin Govindarajan

Nico Vervliet

Lieven De Lathauwer

2022/2/11

From multilinear SVD to multilinear UTV decomposition

Signal Processing

Michiel Vandecappelle

Lieven De Lathauwer

2022/9/1

-Decompositions, Sparse Component Analysis, and the Blind Separation of Sums of Exponentials

SIAM Journal on Matrix Analysis and Applications

Nithin Govindarajan

Ethan N Epperly

Lieven De Lathauwer

2022

See List of Professors in Lieven De Lathauwer University(Katholieke Universiteit Leuven)