Lieven De Lathauwer

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 94

Top Venues

SIAM J. Matrix Anal. Appl.

IEEE Trans. Signal Process.

EUSIPCO

CoRR

Publications

Ignat Domanov, Nico Vervliet, Eric Evert, Lieven De Lathauwer
Decomposition of a Tensor into Multilinear Rank-${(M_{{r}},N_{{r}},\cdot )}$ Terms. SIAM J. Matrix Anal. Appl. 45 (3) (2024)
Nithin Govindarajan, Raphaël Widdershoven, Shivkumar Chandrasekaran, Lieven De Lathauwer
A Fast Algorithm for Computing Macaulay Null Spaces of Bivariate Polynomial Systems. SIAM J. Matrix Anal. Appl. 45 (1) (2024)
Eric Evert, Nico Vervliet, Ignat Domanov, Lieven De Lathauwer
Uniqueness Result and Algebraic Algorithm for Decomposition into Multilinear Rank- $(M_{r}, N_{r}, \cdot)$ Terms and Joint Block Diagonalization. CAMSAP (2023)
Stijn Hendrikx, Mikael Sørensen, Lieven De Lathauwer
. SSP (2023)
Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel
Factorizer: A scalable interpretable approach to context modeling for medical image segmentation. Medical Image Anal. 84 (2023)
Raphaël Widdershoven, Nithin Govindarajan, Lieven De Lathauwer
Overdetermined Systems of Polynomial Equations: Tensor-Based Solution and Application. EUSIPCO (2023)
Cécile Hautecoeur, Lieven De Lathauwer, Nicolas Gillis, François Glineur
Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions. IEEE Trans. Signal Process. 71 (2023)
Stijn Hendrikx, Raphaël Widdershoven, Nico Vervliet, Lieven De Lathauwer
: A Case Study on Reproducibility in Tensor Research. Comput. Sci. Eng. 25 (5) (2023)
Eric Evert, Lieven De Lathauwer
On Best Low Rank Approximation of Positive Definite Tensors. SIAM J. Matrix Anal. Appl. 44 (2) (2023)
Michiel Vandecappelle, Lieven De Lathauwer
From multilinear SVD to multilinear UTV decomposition. Signal Process. 198 (2022)
Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer
CPD Computation via Recursive Eigenspace Decompositions. ICASSP (2022)
Cécile Hautecoeur, Lieven De Lathauwer, Nicolas Gillis, François Glineur
Least-squares methods for nonnegative matrix factorization over rational functions. CoRR (2022)
Muzaffer Ayvaz, Lieven De Lathauwer
CPD-Structured Multivariate Polynomial Optimization. Frontiers Appl. Math. Stat. 8 (2022)
Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer
Canonical Polyadic Decomposition via the Generalized Schur Decomposition. IEEE Signal Process. Lett. 29 (2022)
Nithin Govindarajan, Ethan N. Epperly, Lieven De Lathauwer
$(L_r, L_r, 1)$-Decompositions, Sparse Component Analysis, and the Blind Separation of Sums of Exponentials. SIAM J. Matrix Anal. Appl. 43 (2) (2022)
Michiel Vandecappelle, Lieven De Lathauwer
Updating the Multilinear UTV Decomposition. IEEE Trans. Signal Process. 70 (2022)
Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer
Canonical Polyadic Decomposition via the generalized Schur decomposition. CoRR (2022)
Eric Evert, Lieven De Lathauwer
Guarantees for Existence of a Best Canonical Polyadic Approximation of a Noisy Low-Rank Tensor. SIAM J. Matrix Anal. Appl. 43 (1) (2022)
Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer
A Recursive Eigenspace Computation for the Canonical Polyadic Decomposition. SIAM J. Matrix Anal. Appl. 43 (1) (2022)
Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation. CoRR (2022)
Guillaume O. Berger, Pierre-Antoine Absil, Lieven De Lathauwer, Raphaël M. Jungers, Marc Van Barel
Equivalent polyadic decompositions of matrix multiplication tensors. J. Comput. Appl. Math. 406 (2022)
Nithin Govindarajan, Nico Vervliet, Lieven De Lathauwer
Regression and Classification With Spline-Based Separable Expansions. Frontiers Big Data 5 (2022)
Stijn Hendrikx, Lieven De Lathauwer
Block Row Kronecker-Structured Linear Systems With a Low-Rank Tensor Solution. Frontiers Appl. Math. Stat. 8 (2022)
Cécile Hautecoeur, François Glineur, Lieven De Lathauwer
Hierarchical alternating nonlinear least squares for nonnegative matrix factorization using rational functions. EUSIPCO (2021)
Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer
A recursive eigenspace computation for the Canonical Polyadic decomposition. CoRR (2021)
Jeroen Vanderstukken, Lieven De Lathauwer
Systems of Polynomial Equations, Higher-order Tensor Decompositions, and Multidimensional Harmonic Retrieval: A Unifying Framework. Part I: The Canonical Polyadic Decomposition. SIAM J. Matrix Anal. Appl. 42 (2) (2021)
Eric Evert, Lieven De Lathauwer
Guarantees for existence of a best canonical polyadic approximation of a noisy low-rank tensor. CoRR (2021)
Jeroen Vanderstukken, Patrick Kürschner, Ignat Domanov, Lieven De Lathauwer
Systems of Polynomial Equations, Higher-Order Tensor Decompositions, and Multidimensional Harmonic Retrieval: A Unifying Framework. Part II: The Block Term Decomposition. SIAM J. Matrix Anal. Appl. 42 (2) (2021)
Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer
Inexact Generalized Gauss-Newton for Scaling the Canonical Polyadic Decomposition With Non-Least-Squares Cost Functions. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
Ignat Domanov, Lieven De Lathauwer
From Computation to Comparison of Tensor Decompositions. SIAM J. Matrix Anal. Appl. 42 (2) (2021)
Muzaffer Ayvaz, Lieven De Lathauwer
Tensor-Based Multivariate Polynomial Optimization with Application in Blind Identification. EUSIPCO (2021)
Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis
Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective. IEEE Signal Process. Mag. 37 (5) (2020)
Christos Chatzichristos, Eleftherios Kofidis, Lieven De Lathauwer, Sergios Theodoridis, Sabine Van Huffel
Early soft and flexible fusion of EEG and fMRI via tensor decompositions. CoRR (2020)
Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer
A Second-Order Method for Fitting the Canonical Polyadic Decomposition With Non-Least-Squares Cost. IEEE Trans. Signal Process. 68 (2020)
Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis
Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors. CoRR (2020)
Ignat Domanov, Lieven De Lathauwer
Terms. SIAM J. Matrix Anal. Appl. 41 (2) (2020)
Nico Vervliet, Andreas Themelis, Panagiotis Patrinos, Lieven De Lathauwer
A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition. EUSIPCO (2020)
Nico Vervliet, Michiel Vandecappelle, Martijn Boussé, Rob Zink, Lieven De Lathauwer
Recent Numerical and Conceptual Advances for Tensor Decompositions - A Preview of Tensorlab 4.0. DSW (2019)
Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer
Rank-one Tensor Approximation with Beta-divergence Cost Functions. EUSIPCO (2019)
Alwin Stegeman, Lieven De Lathauwer
Rayleigh Quotient Methods for Estimating Common Roots of Noisy Univariate Polynomials. Comput. Methods Appl. Math. 19 (1) (2019)
Ignat Domanov, Lieven De Lathauwer
From computation to comparison of tensor decompositions. CoRR (2019)
Simon Van Eyndhoven, Nico Vervliet, Lieven De Lathauwer, Sabine Van Huffel
Identifying Stable Components of Matrix /Tensor Factorizations via Low-Rank Approximation of Inter-Factorization Similarity. EUSIPCO (2019)
Alexander Caicedo, Ofelie De Wel, Michiel Vandecappelle, Liesbeth Thewissen, Anne Smits, Karel Allegaert, Lieven De Lathauwer, Gunnar Naulaers, Sabine Van Huffel
Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions. EMBC (2019)
Guillaume O. Berger, Pierre-Antoine Absil, Lieven De Lathauwer, Raphaël M. Jungers, Marc Van Barel
Equivalent Polyadic Decompositions of Matrix Multiplication Tensors. CoRR (2019)
Halandur Nagaraja Bharath, Otto Debals, Diana Maria Sima, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging. IEEE Trans. Biomed. Eng. 66 (2) (2019)
Nico Vervliet, Otto Debals, Lieven De Lathauwer
Exploiting Efficient Representations in Large-Scale Tensor Decompositions. SIAM J. Sci. Comput. 41 (2) (2019)
Stijn Hendrikx, Martijn Boussé, Nico Vervliet, Lieven De Lathauwer
Algebraic and Optimization Based Algorithms for Multivariate Regression Using Symmetric Tensor Decomposition. CAMSAP (2019)
Mikael Sørensen, Nicholas D. Sidiropoulos, Lieven De Lathauwer
Canonical Polyadic Decomposition of a Tensor That Has Missing Fibers: A Monomial Factorization Approach. ICASSP (2019)
Christos Chatzichristos, Michiel Vandecappelle, Eleftherios Kofidis, Sergios Theodoridis, Lieven De Lathauwer, Sabine Van Huffel
Tensor-based Blind fMRI Source Separation Without the Gaussian Noise Assumption - A β-Divergence Approach. GlobalSIP (2019)
Xiao-Feng Gong, Qiu-Hua Lin, Fengyu Cong, Lieven De Lathauwer
Double coupled canonical polyadic decomposition of third-order tensors: Algebraic algorithm and relaxed uniqueness conditions. Signal Process. Image Commun. 73 (2019)
Michiel Vandecappelle, Lieven De Lathauwer
Low Multilinear Rank Updating. ACSSC (2019)
Mikael Sørensen, Lieven De Lathauwer
Fiber Sampling Approach to Canonical Polyadic Decomposition and Application to Tensor Completion. SIAM J. Matrix Anal. Appl. 40 (3) (2019)
Martijn Boussé, Nikos D. Sidiropoulos, Lieven De Lathauwer
NLS Algorithm for Kronecker-Structured Linear Systems with a CPD Constrained Solution. EUSIPCO (2019)
Frederik Van Eeghem, Otto Debals, Nico Vervliet, Lieven De Lathauwer
Coupled and Incomplete Tensors in Blind System Identification. IEEE Trans. Signal Process. 66 (23) (2018)
Guillaume Olikier, Pierre-Antoine Absil, Lieven De Lathauwer
Variable Projection Applied to Block Term Decomposition of Higher-Order Tensors. LVA/ICA (2018)
Mikael Sørensen, Ignat Domanov, Lieven De Lathauwer
Coupled Canonical Polyadic Decompositions and Multiple Shift Invariance in Array Processing. IEEE Trans. Signal Process. 66 (14) (2018)
Simon Geirnaert, Griet Goovaerts, Sibasankar Padhy, Martijn Bousse, Lieven De Lathauwer, Sabine Van Huffel
Tensor-basedECG Signal Processing Applied to Atrial Fibrillation Detection. ACSSC (2018)
Michiel Vandecappelle, Martijn Bousse, Nico Vervliet, Lieven De Lathauwer
CPD Updating Using Low-Rank Weights. ICASSP (2018)
Martijn Bousse, Lieven De Lathauwer
Large-Scale Autoregressive System Identification Using Kronecker Product Equations. GlobalSIP (2018)
Frederik Van Eeghem, Lieven De Lathauwer
Algorithms for Canonical Polyadic Decomposition With Block-Circulant Factors. IEEE Signal Process. Lett. 25 (6) (2018)
Guillaume Olikier, Pierre-Antoine Absil, Lieven De Lathauwer
A variable projection method for block term decomposition of higher-order tensors. ESANN (2018)
Simon Van Eyndhoven, Martijn Bousse, Borbála Hunyadi, Lieven De Lathauwer, Sabine Van Huffel
Single-channel EEG Classification by Multi-channel Tensor subspace Learning and Regression. MLSP (2018)
Xiao-Feng Gong, Qiu-Hua Lin, Fengyu Cong, Lieven De Lathauwer
Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation. IEEE Trans. Signal Process. 66 (13) (2018)
Frederik Van Eeghem, Otto Debals, Lieven De Lathauwer
Tensor Similarity in Two Modes. IEEE Trans. Signal Process. 66 (5) (2018)
Martijn Bousse, Nico Vervliet, Ignat Domanov, Otto Debals, Lieven De Lathauwer
Linear systems with a canonical polyadic decomposition constrained solution: Algorithms and applications. Numer. Linear Algebra Appl. 25 (6) (2018)
Halandur Nagaraja Bharath, Diana Maria Sima, Nicolas Sauwen, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
Nonnegative Canonical Polyadic Decomposition for Tissue-Type Differentiation in Gliomas. IEEE J. Biomed. Health Informatics 21 (4) (2017)
Otto Debals, Marc Van Barel, Lieven De Lathauwer
Nonnegative Matrix Factorization Using Nonnegative Polynomial Approximations. IEEE Signal Process. Lett. 24 (7) (2017)
Frederik Van Eeghem, Lieven De Lathauwer
Second-order tensor-based convolutive ICA: Deconvolution versus tensorization. ICASSP (2017)
Mikael Sørensen, Lieven De Lathauwer
Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part II: Algorithm and Multirate Sampling. IEEE Trans. Signal Process. 65 (2) (2017)
Simon Van Eyndhoven, Borbála Hunyadi, Lieven De Lathauwer, Sabine Van Huffel
Flexible fusion of electroencephalography and functional magnetic resonance imaging: Revealing neural-hemodynamic coupling through structured matrix-tensor factorization. EUSIPCO (2017)
Mikael Sørensen, Lieven De Lathauwer
Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part I: Model and Identifiability. IEEE Trans. Signal Process. 65 (2) (2017)
Martijn Bousse, Griet Goovaerts, Nico Vervliet, Otto Debals, Sabine Van Huffel, Lieven De Lathauwer
Irregular heartbeat classification using Kronecker Product Equations. EMBC (2017)
Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos
Tensor Decomposition for Signal Processing and Machine Learning. IEEE Trans. Signal Process. 65 (13) (2017)
Martijn Bousse, Nico Vervliet, Otto Debals, Lieven De Lathauwer
Face recognition as a kronecker product equation. CAMSAP (2017)
Lieven De Lathauwer, Eleftherios Kofidis
Coupled matrix-tensor factorizations - The case of partially shared factors. ACSSC (2017)
Ignat Domanov, Alwin Stegeman, Lieven De Lathauwer
On the Largest Multilinear Singular Values of Higher-Order Tensors. SIAM J. Matrix Anal. Appl. 38 (4) (2017)
Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer
Nonlinear least squares updating of the canonical polyadic decomposition. EUSIPCO (2017)
Frederik Van Eeghem, Mikael Sørensen, Lieven De Lathauwer
Tensor Decompositions With Several Block-Hankel Factors and Application in Blind System Identification. IEEE Trans. Signal Process. 65 (15) (2017)
Martijn Bousse, Otto Debals, Lieven De Lathauwer
A Tensor-Based Method for Large-Scale Blind Source Separation Using Segmentation. IEEE Trans. Signal Process. 65 (2) (2017)
Mikael Sørensen, Frederik Van Eeghem, Lieven De Lathauwer
Blind Multichannel Deconvolution and Convolutive Extensions of Canonical Polyadic and Block Term Decompositions. IEEE Trans. Signal Process. 65 (15) (2017)
Steven Delrue, Vladislav Aleshin, Mikael Sørensen, Lieven De Lathauwer
Simulation Study of the Localization of a Near-Surface Crack Using an Air-Coupled Ultrasonic Sensor Array. Sensors 17 (4) (2017)
Martijn Bousse, Lieven De Lathauwer
Nonlinear least squares algorithm for canonical polyadic decomposition using low-rank weights. CAMSAP (2017)
Martijn Bousse, Otto Debals, Lieven De Lathauwer
Tensor-Based Large-Scale Blind System Identification Using Segmentation. IEEE Trans. Signal Process. 65 (21) (2017)
Otto Debals, Marc Van Barel, Lieven De Lathauwer
Löwner-Based Blind Signal Separation of Rational Functions With Applications. IEEE Trans. Signal Process. 64 (8) (2016)
Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos
Tensor Decomposition for Signal Processing and Machine Learning. CoRR (2016)
Ignat Domanov, Lieven De Lathauwer
Generic Uniqueness of a Structured Matrix Factorization and Applications in Blind Source Separation. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Martijn Bousse, Otto Debals, Lieven De Lathauwer
A tensor-based method for large-scale blind system identification using segmentation. EUSIPCO (2016)
Xiao-Feng Gong, Qiu-Hua Lin, Otto Debals, Nico Vervliet, Lieven De Lathauwer
Coupled rank-(Lm, Ln, •) block term decomposition by coupled block simultaneous generalized Schur decomposition. ICASSP (2016)
Nico Vervliet, Otto Debals, Lieven De Lathauwer
Tensorlab 3.0 - Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization. ACSSC (2016)
Laurent Sorber, Ignat Domanov, Marc Van Barel, Lieven De Lathauwer
Exact line and plane search for tensor optimization. Comput. Optim. Appl. 63 (1) (2016)
Mikael Sørensen, Lieven De Lathauwer
Shift invariance, incomplete arrays and coupled CPD: A case study. SAM (2016)
Nico Vervliet, Lieven De Lathauwer
A Randomized Block Sampling Approach to Canonical Polyadic Decomposition of Large-Scale Tensors. IEEE J. Sel. Top. Signal Process. 10 (2) (2016)
Mikael Sørensen, Lieven De Lathauwer
Multiple Invariance ESPRIT for Nonuniform Linear Arrays: A Coupled Canonical Polyadic Decomposition Approach. IEEE Trans. Signal Process. 64 (14) (2016)
Halandur Nagaraja Bharath, Nicolas Sauwen, Diana Maria Sima, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas. EUSIPCO (2016)
Andrzej Cichocki, Danilo P. Mandic, Lieven De Lathauwer, Guoxu Zhou, Qibin Zhao, Cesar F. Caiafa, Anh Huy Phan
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis. IEEE Signal Process. Mag. 32 (2) (2015)
Laurent Sorber, Marc Van Barel, Lieven De Lathauwer
Structured Data Fusion. IEEE J. Sel. Top. Signal Process. 9 (4) (2015)
Ignat Domanov, Lieven De Lathauwer
Generic Uniqueness Conditions for the Canonical Polyadic Decomposition and INDSCAL. SIAM J. Matrix Anal. Appl. 36 (4) (2015)
Otto Debals, Lieven De Lathauwer
Stochastic and Deterministic Tensorization for Blind Signal Separation. LVA/ICA (2015)
Mikael Sørensen, Ignat Domanov, Lieven De Lathauwer
, 1) Terms - Part II: Algorithms. SIAM J. Matrix Anal. Appl. 36 (3) (2015)
Philippe Dreesen, Thomas Goossens, Mariya Ishteva, Lieven De Lathauwer, Johan Schoukens
Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition. LVA/ICA (2015)

Lieven De Lathauwer.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Lieven De Lathauwer