Blind source separation by simultaneous third-order tensor diagonalization. - Lieven De Lathauwer; Bart De Moor; Joos Vandewalle (EUSIPCO, 1996)

A residual bound for the mixing matrix in ICA. - Lieven De Lathauwer; Joos Vandewalle (EUSIPCO, 1998)

Blind MIMO system identification based on cross-polyspectra. - Binning Chen; Athina P. Petropulu; Lieven De Lathauwer; Bart De Moor (EUSIPCO, 2000)

An algebraic ICA algorithm for 3 sources and 2 sensors. - Lieven De Lathauwer; Bart De Moor; Joos Vandewalle (EUSIPCO, 2000)

SVD-based methodologies for fetal electrocardiogram extraction. - Lieven De Lathauwer; Bart De Moor; Joos Vandewalle (ICASSP, 2000)

An algebraic approach to the blind identification of paraunitary filters. - Lieven De Lathauwer; Bart De Moor; Joos Vandewalle (WCNC, 2000)

On the Computation of the Restricted Singular Value Decomposition via the Cosine-Sine Decomposition. - Delin Chu; Lieven De Lathauwer; Bart De Moor (SIAM J. Matrix Anal. Appl., 2000)

A Multilinear Singular Value Decomposition. - Lieven De Lathauwer; Bart De Moor; Joos Vandewalle (SIAM J. Matrix Anal. Appl., 2000)

On the Best Rank-1 and Rank-(R1 , R2, ... , RN) Approximation of Higher-Order Tensors. - Lieven De Lathauwer; Bart De Moor; Joos Vandewalle (SIAM J. Matrix Anal. Appl., 2000)

Fetal electrocardiogram extraction by blind source subspace separation. - Lieven De Lathauwer; Bart De Moor; Joos Vandewalle (IEEE Trans. Biomed. Eng., 2000)

Independent component analysis and (simultaneous) third-order tensor diagonalization. - Lieven De Lathauwer; Bart De Moor; Joos Vandewalle (IEEE Trans. Signal Process., 2001)

On the blind separation of non-circular sources. - Lieven De Lathauwer; Bart De Moor (EUSIPCO, 2002)

Blind identification of complex convolutive MIMO systems with 3 sources and 2 sensors. - Binning Chen; Athina P. Petropulu; Lieven De Lathauwer (ICASSP, 2002)

Blind Identification of Convolutive MIMO Systems with 3 Sources and 2 Sensors. - Binning Chen; Athina P. Petropulu; Lieven De Lathauwer (EURASIP J. Adv. Signal Process., 2002)

A QR-type reduction for computing the SVD of a general matrix product/quotient. - Delin Chu; Lieven De Lathauwer; Bart De Moor (Numerische Mathematik, 2003)

An algebraic technique for the blind separation of DS-CDMA signals. - Joséphine Castaing; Lieven De Lathauwer (EUSIPCO, 2004)

Thin QR and SVD factorizations for simultaneous blind signal extraction. - Sergio Cruces; Andrzej Cichocki; Lieven De Lathauwer (EUSIPCO, 2004)

Algebraic techniques for the blind deconvolution of Constant Modulus signals. - Lieven De Lathauwer (EUSIPCO, 2004)

A Grassmann-Rayleigh Quotient Iteration for Dimensionality Reduction in ICA. - Lieven De Lathauwer; Luc Hoegaerts; Joos Vandewalle (ICA, 2004)

Dimensionality Reduction in ICA and Rank-(R1, R2, ..., RN) Reduction in Multilinear Algebra. - Lieven De Lathauwer; Joos Vandewalle (ICA, 2004)

Computation of the Canonical Decomposition by Means of a Simultaneous Generalized Schur Decomposition. - Lieven De Lathauwer; Bart De Moor; Joos Vandewalle (SIAM J. Matrix Anal. Appl., 2004)

Delayed exponential fitting by best tensor rank-(R1, R2, R3) approximation. - Rémy Boyer; Lieven De Lathauwer; Karim Abed-Meraim (ICASSP (4), 2005)

Exponential data fitting using multilinear algebra: the single-channel and multi-channel case. - Jean-Michel Papy; Lieven De Lathauwer; Sabine Van Huffel (Numer. Linear Algebra Appl., 2005)

A prewhitening-induced bound on the identification error in independent component analysis. - Lieven De Lathauwer; Bart De Moor; Joos Vandewalle (IEEE Trans. Circuits Syst. I Regul. Pap., 2005)

Levenberg-Marquardt computation of the Block Factor Model for blind multi-user access in wireless communications. - Dimitri Nion; Lieven De Lathauwer (EUSIPCO, 2006)

Second-Order Blind Identification of Underdetermined Mixtures. - Lieven De Lathauwer; Joséphine Castaing (ICA, 2006)

A Block Factor Analysis Based Receiver for Blind Multi-User Access in Wireless Communications. - Dimitri Nion; Lieven De Lathauwer (ICASSP (5), 2006)

A Link between the Canonical Decomposition in Multilinear Algebra and Simultaneous Matrix Diagonalization. - Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2006)

Common pole estimation in multi-channel exponential data modeling. - Jean-Michel Papy; Lieven De Lathauwer; Sabine Van Huffel (Signal Process., 2006)

The use of total least squares data fitting in the shape-from-moments problem. - M. Schuermans; Philippe Lemmerling; Lieven De Lathauwer; Sabine Van Huffel (Signal Process., 2006)

Imposing Independence Constraints in the CP Model. - Maarten De Vos; Lieven De Lathauwer; Sabine Van Huffel (ICA, 2007)

Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study. - Maarten De Vos; Lieven De Lathauwer; Bart Vanrumste; Sabine Van Huffel; Wim Van Paesschen (Comput. Intell. Neurosci., 2007)

Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone. - Maarten De Vos; Anneleen Vergult; Lieven De Lathauwer; Wim De Clercq; Sabine Van Huffel; Patrick Dupont; A. Palmini; Wim Van Paesschen (NeuroImage, 2007)

Efficiently updating and tracking the dominant kernel principal components. - Luc Hoegaerts; Lieven De Lathauwer; Ivan Goethals; Johan A. K. Suykens; Joos Vandewalle; Bart De Moor (Neural Networks, 2007)

Tensor-based techniques for the blind separation of DS-CDMA signals. - Lieven De Lathauwer; Joséphine Castaing (Signal Process., 2007)

A Shift Invariance-Based Order-Selection Technique for Exponential Data Modelling. - Jean-Michel Papy; Lieven De Lathauwer; Sabine Van Huffel (IEEE Signal Process. Lett., 2007)

Higher Order Tensor-Based Method for Delayed Exponential Fitting. - Rémy Boyer; Lieven De Lathauwer; Karim Abed-Meraim (IEEE Trans. Signal Process., 2007)

Fourth-Order Cumulant-Based Blind Identification of Underdetermined Mixtures. - Lieven De Lathauwer; Joséphine Castaing; Jean-François Cardoso (IEEE Trans. Signal Process., 2007)

Swamp reducing technique for tensor decomposition. - Carmeliza Navasca; Lieven De Lathauwer; Stefan Kindermann 001 (EUSIPCO, 2008)

Algorithm for imposing SOBI-type constraints on the CP model. - Maarten De Vos; Lieven De Lathauwer; Sabine Van Huffel (ISCAS, 2008)

Decompositions of a Higher-Order Tensor in Block Terms - Part I: Lemmas for Partitioned Matrices. - Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2008)

Decompositions of a Higher-Order Tensor in Block Terms - Part II: Definitions and Uniqueness. - Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2008)

Special Issue on Tensor Decompositions and Applications. - Lieven De Lathauwer; Pierre Comon; Nicola Mastronardi (SIAM J. Matrix Anal. Appl., 2008)

Decompositions of a Higher-Order Tensor in Block Terms - Part III: Alternating Least Squares Algorithms. - Lieven De Lathauwer; Dimitri Nion (SIAM J. Matrix Anal. Appl., 2008)

A Method to Avoid Diverging Components in the Candecomp/Parafac Model for Generic I˟J˟2 Arrays. - Alwin Stegeman; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2008)

An enhanced line search scheme for complex-valued tensor decompositions. Application in DS-CDMA. - Dimitri Nion; Lieven De Lathauwer (Signal Process., 2008)

Blind Deconvolution of DS-CDMA Signals by Means of Decomposition in Rank-(1, L, L) Terms. - Lieven De Lathauwer; Alexandre de Baynast (IEEE Trans. Signal Process., 2008)

Blind Identification of Underdetermined Mixtures by Simultaneous Matrix Diagonalization. - Lieven De Lathauwer; Joséphine Castaing (IEEE Trans. Signal Process., 2008)

A Block Component Model-Based Blind DS-CDMA Receiver. - Dimitri Nion; Lieven De Lathauwer (IEEE Trans. Signal Process., 2008)

Low multilinear rank tensor approximation via semidefinite programming. - Carmeliza Navasca; Lieven De Lathauwer (EUSIPCO, 2009)

An efficient Jacobi-type algorithm for blind equalization of paraunitary channels. - Mikael Sørensen; Lieven De Lathauwer; Luc Deneire (EUSIPCO, 2009)

A Survey of Tensor Methods. - Lieven De Lathauwer (ISCAS, 2009)

Differential-geometric Newton method for the best rank-(R1, R2, R3) approximation of tensors. - Mariya Ishteva; Lieven De Lathauwer; Pierre-Antoine Absil; Sabine Van Huffel (Numer. Algorithms, 2009)

A Geometric Newton Method for Oja's Vector Field. - Pierre-Antoine Absil; Mariya Ishteva; Lieven De Lathauwer; Sabine Van Huffel (Neural Comput., 2009)

Improved non-parametric sparse recovery with data matched penalties. - Marco Signoretto; Kristiaan Pelckmans; Lieven De Lathauwer; Johan A. K. Suykens (CIP, 2010)

A Time-Frequency Technique for Blind Separation and Localization of Pure Delayed Sources. - Dimitri Nion; Bart Vandewoestyne; Siegfried Vanaverbeke; Koen Van Den Abeele; Herbert De Gersem; Lieven De Lathauwer (LVA/ICA, 2010)

Kernel-Based Learning from Infinite Dimensional 2-Way Tensors. - Marco Signoretto; Lieven De Lathauwer; Johan A. K. Suykens (ICANN (2), 2010)

Parafac with orthogonality in one mode and applications in DS-CDMA systems. - Mikael Sørensen; Lieven De Lathauwer; Luc Deneire (ICASSP, 2010)

Hybrid Clustering of Multiple Information Sources via HOSVD. - Xinhai Liu; Lieven De Lathauwer; Frizo A. L. Janssens; Bart De Moor (ISNN (2), 2010)

Tensor decompositions with block-Toeplitz structure and applications in signal processing. - Mikael Sørensen; Lieven De Lathauwer (ACSCC, 2011)

Blind channel identification of MISO systems based on the CP decomposition of cumulant tensors. - Ignat Domanov; Lieven De Lathauwer (EUSIPCO, 2011)

A short introduction to tensor-based methods for Factor Analysis and Blind Source Separation. - Lieven De Lathauwer (ISPA, 2011)

A kernel-based framework to tensorial data analysis. - Marco Signoretto; Lieven De Lathauwer; Johan A. K. Suykens (Neural Networks, 2011)

Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme. - Mariya Ishteva; Pierre-Antoine Absil; Sabine Van Huffel; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2011)

Blind Separation of Exponential Polynomials and the Decomposition of a Tensor in Rank-(Lr, Lr, 1) Terms. - Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2011)

Iterative methods for the canonical decomposition of multi-way arrays: Application to blind underdetermined mixture identification. - Ahmad Karfoul; Laurent Albera; Lieven De Lathauwer (Signal Process., 2011)

Spatially constrained ICA algorithm with an application in EEG processing. - Maarten De Vos; Lieven De Lathauwer; Sabine Van Huffel (Signal Process., 2011)

Tensor decompositions with Vandermonde factor and applications in signal processing. - Mikael Sørensen; Lieven De Lathauwer (ACSCC, 2012)

Block Component Analysis, a New Concept for Blind Source Separation. - Lieven De Lathauwer (LVA/ICA, 2012)

Unconstrained Optimization of Real Functions in Complex Variables. - Laurent Sorber; Marc Van Barel; Lieven De Lathauwer (SIAM J. Optim., 2012)

Canonical Polyadic Decomposition with a Columnwise Orthonormal Factor Matrix. - Mikael Sørensen; Lieven De Lathauwer; Pierre Comon; Sylvie Icart; Luc Deneire (SIAM J. Matrix Anal. Appl., 2012)

On Jacobi-type methods for blind equalization of paraunitary channels. - Mikael Sørensen; Lieven De Lathauwer; Sylvie Icart; Luc Deneire (Signal Process., 2012)

A combination of parallel factor and independent component analysis. - Maarten De Vos; Dimitri Nion; Sabine Van Huffel; Lieven De Lathauwer (Signal Process., 2012)

Classification of Multichannel Signals With Cumulant-Based Kernels. - Marco Signoretto; Emanuele Olivetti; Lieven De Lathauwer; Johan A. K. Suykens (IEEE Trans. Signal Process., 2012)

Coupled tensor decompositions for applications in array signal processing. - Mikael Sørensen; Lieven De Lathauwer (CAMSAP, 2013)

Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties. - Marco Signoretto; Lieven De Lathauwer; Johan A. K. Suykens (CoRR, 2013)

Optimization-Based Algorithms for Tensor Decompositions: Canonical Polyadic Decomposition, Decomposition in Rank-(Lr, Lr, 1) Terms, and a New Generalization. - Laurent Sorber; Marc Van Barel; Lieven De Lathauwer (SIAM J. Optim., 2013)

On the Uniqueness of the Canonical Polyadic Decomposition of Third-Order Tensors - Part I: Basic Results and Uniqueness of One Factor Matrix. - Ignat Domanov; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2013)

On the Uniqueness of the Canonical Polyadic Decomposition of Third-Order Tensors - Part II: Uniqueness of the Overall Decomposition. - Ignat Domanov; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2013)

Blind Signal Separation via Tensor Decomposition With Vandermonde Factor: Canonical Polyadic Decomposition. - Mikael Sørensen; Lieven De Lathauwer (IEEE Trans. Signal Process., 2013)

Multidimensional ESPRIT: A coupled canonical polyadic decomposition approach. - Mikael Sørensen; Lieven De Lathauwer (SAM, 2014)

Block term decomposition for modelling epileptic seizures. - Borbála Hunyadi; Daan Camps; Laurent Sorber; Wim Van Paesschen; Maarten De Vos; Sabine Van Huffel; Lieven De Lathauwer (EURASIP J. Adv. Signal Process., 2014)

Introduction to the special issue. - Dario A. Bini; Lieven De Lathauwer; Nicola Mastronardi; Marc Van Barel; Raf Vandebril; Paul Van Dooren (J. Comput. Appl. Math., 2014)

Learning with tensors: a framework based on convex optimization and spectral regularization. - Marco Signoretto; Dinh Quoc Tran; Lieven De Lathauwer; Johan A. K. Suykens (Mach. Learn., 2014)

Canonical Polyadic Decomposition of Third-Order Tensors: Reduction to Generalized Eigenvalue Decomposition. - Ignat Domanov; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2014)

Numerical Solution of Bivariate and Polyanalytic Polynomial Systems. - Laurent Sorber; Marc Van Barel; Lieven De Lathauwer (SIAM J. Numer. Anal., 2014)

Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis. - Nico Vervliet; Otto Debals; Laurent Sorber; Lieven De Lathauwer (IEEE Signal Process. Mag., 2014)

Tensor based tumor tissue type differentiation using magnetic resonance spectroscopic imaging. - Halandur Nagaraja Bharath; Diana Maria Sima; Nicolas Sauwen; Uwe Himmelreich; Lieven De Lathauwer; Sabine Van Huffel (EMBC, 2015)

A novel deterministic method for large-scale blind source separation. - Martijn Bousse; Otto Debals; Lieven De Lathauwer (EUSIPCO, 2015)

Stochastic and Deterministic Tensorization for Blind Signal Separation. - Otto Debals; Lieven De Lathauwer (LVA/ICA, 2015)

Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition. - Philippe Dreesen; Thomas Goossens; Mariya Ishteva; Lieven De Lathauwer; Johan Schoukens (LVA/ICA, 2015)

Blind signal separation of rational functions using Löwner-based tensorization. - Otto Debals; Marc Van Barel; Lieven De Lathauwer (ICASSP, 2015)

Structured Data Fusion. - Laurent Sorber; Marc Van Barel; Lieven De Lathauwer (IEEE J. Sel. Top. Signal Process., 2015)

Generic Uniqueness Conditions for the Canonical Polyadic Decomposition and INDSCAL. - Ignat Domanov; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2015)

Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank- (Lr, n, Lr, n, 1) Terms - Part II: Algorithms. - Mikael Sørensen; Ignat Domanov; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2015)

Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank-(Lr, n, Lr, n, 1) Terms - Part I: Uniqueness. - Mikael Sørensen; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2015)

New Uniqueness Conditions for the Canonical Polyadic Decomposition of Third-Order Tensors. - Mikael Sørensen; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2015)

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis. - Andrzej Cichocki; Danilo P. Mandic; Lieven De Lathauwer; Guoxu Zhou; Qibin Zhao; Cesar F. Caiafa; Anh Huy Phan 001 (IEEE Signal Process. Mag., 2015)

Tensorlab 3.0 - Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization. - Nico Vervliet; Otto Debals; Lieven De Lathauwer (ACSSC, 2016)

Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas. - Halandur Nagaraja Bharath; Nicolas Sauwen; Diana Maria Sima; Uwe Himmelreich; Lieven De Lathauwer; Sabine Van Huffel (EUSIPCO, 2016)

A tensor-based method for large-scale blind system identification using segmentation. - Martijn Bousse; Otto Debals; Lieven De Lathauwer (EUSIPCO, 2016)

Coupled rank-(Lm, Ln, •) block term decomposition by coupled block simultaneous generalized Schur decomposition. - Xiao-Feng Gong; Qiu-Hua Lin; Otto Debals; Nico Vervliet; Lieven De Lathauwer (ICASSP, 2016)

Shift invariance, incomplete arrays and coupled CPD: A case study. - Mikael Sørensen; Lieven De Lathauwer (SAM, 2016)

Exact line and plane search for tensor optimization. - Laurent Sorber; Ignat Domanov; Marc Van Barel; Lieven De Lathauwer (Comput. Optim. Appl., 2016)

Generic Uniqueness of a Structured Matrix Factorization and Applications in Blind Source Separation. - Ignat Domanov; Lieven De Lathauwer (IEEE J. Sel. Top. Signal Process., 2016)

A Randomized Block Sampling Approach to Canonical Polyadic Decomposition of Large-Scale Tensors. - Nico Vervliet; Lieven De Lathauwer (IEEE J. Sel. Top. Signal Process., 2016)

Löwner-Based Blind Signal Separation of Rational Functions With Applications. - Otto Debals; Marc Van Barel; Lieven De Lathauwer (IEEE Trans. Signal Process., 2016)

Multiple Invariance ESPRIT for Nonuniform Linear Arrays: A Coupled Canonical Polyadic Decomposition Approach. - Mikael Sørensen; Lieven De Lathauwer (IEEE Trans. Signal Process., 2016)

Coupled matrix-tensor factorizations - The case of partially shared factors. - Lieven De Lathauwer; Eleftherios Kofidis (ACSSC, 2017)

Nonlinear least squares algorithm for canonical polyadic decomposition using low-rank weights. - Martijn Bousse; Lieven De Lathauwer (CAMSAP, 2017)

Face recognition as a kronecker product equation. - Martijn Bousse; Nico Vervliet; Otto Debals; Lieven De Lathauwer (CAMSAP, 2017)

Irregular heartbeat classification using Kronecker Product Equations. - Martijn Bousse; Griet Goovaerts; Nico Vervliet; Otto Debals; Sabine Van Huffel; Lieven De Lathauwer (EMBC, 2017)

Flexible fusion of electroencephalography and functional magnetic resonance imaging: Revealing neural-hemodynamic coupling through structured matrix-tensor factorization. - Simon Van Eyndhoven; Borbála Hunyadi; Lieven De Lathauwer; Sabine Van Huffel (EUSIPCO, 2017)

Nonlinear least squares updating of the canonical polyadic decomposition. - Michiel Vandecappelle; Nico Vervliet; Lieven De Lathauwer (EUSIPCO, 2017)

Second-order tensor-based convolutive ICA: Deconvolution versus tensorization. - Frederik Van Eeghem; Lieven De Lathauwer (ICASSP, 2017)

Simulation Study of the Localization of a Near-Surface Crack Using an Air-Coupled Ultrasonic Sensor Array. - Steven Delrue; Vladislav Aleshin; Mikael Sørensen; Lieven De Lathauwer (Sensors, 2017)

On the Largest Multilinear Singular Values of Higher-Order Tensors. - Ignat Domanov; Alwin Stegeman; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2017)

Nonnegative Matrix Factorization Using Nonnegative Polynomial Approximations. - Otto Debals; Marc Van Barel; Lieven De Lathauwer (IEEE Signal Process. Lett., 2017)

Nonnegative Canonical Polyadic Decomposition for Tissue-Type Differentiation in Gliomas. - Halandur Nagaraja Bharath; Diana Maria Sima; Nicolas Sauwen; Uwe Himmelreich; Lieven De Lathauwer; Sabine Van Huffel (IEEE J. Biomed. Health Informatics, 2017)

A Tensor-Based Method for Large-Scale Blind Source Separation Using Segmentation. - Martijn Bousse; Otto Debals; Lieven De Lathauwer (IEEE Trans. Signal Process., 2017)

Tensor-Based Large-Scale Blind System Identification Using Segmentation. - Martijn Bousse; Otto Debals; Lieven De Lathauwer (IEEE Trans. Signal Process., 2017)

Tensor Decompositions With Several Block-Hankel Factors and Application in Blind System Identification. - Frederik Van Eeghem; Mikael Sørensen; Lieven De Lathauwer (IEEE Trans. Signal Process., 2017)

Tensor Decomposition for Signal Processing and Machine Learning. - Nicholas D. Sidiropoulos; Lieven De Lathauwer; Xiao Fu 001; Kejun Huang; Evangelos E. Papalexakis; Christos Faloutsos (IEEE Trans. Signal Process., 2017)

Blind Multichannel Deconvolution and Convolutive Extensions of Canonical Polyadic and Block Term Decompositions. - Mikael Sørensen; Frederik Van Eeghem; Lieven De Lathauwer (IEEE Trans. Signal Process., 2017)

Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part I: Model and Identifiability. - Mikael Sørensen; Lieven De Lathauwer (IEEE Trans. Signal Process., 2017)

Multidimensional Harmonic Retrieval via Coupled Canonical Polyadic Decomposition - Part II: Algorithm and Multirate Sampling. - Mikael Sørensen; Lieven De Lathauwer (IEEE Trans. Signal Process., 2017)

Tensor-basedECG Signal Processing Applied to Atrial Fibrillation Detection. - Simon Geirnaert; Griet Goovaerts; Sibasankar Padhy; Martijn Bousse; Lieven De Lathauwer; Sabine Van Huffel (ACSSC, 2018)

A variable projection method for block term decomposition of higher-order tensors. - Guillaume Olikier; Pierre-Antoine Absil; Lieven De Lathauwer (ESANN, 2018)

Large-Scale Autoregressive System Identification Using Kronecker Product Equations. - Martijn Bousse; Lieven De Lathauwer (GlobalSIP, 2018)

Variable Projection Applied to Block Term Decomposition of Higher-Order Tensors. - Guillaume Olikier; Pierre-Antoine Absil; Lieven De Lathauwer (LVA/ICA, 2018)

CPD Updating Using Low-Rank Weights. - Michiel Vandecappelle; Martijn Bousse; Nico Vervliet; Lieven De Lathauwer (ICASSP, 2018)

Single-channel EEG Classification by Multi-channel Tensor subspace Learning and Regression. - Simon Van Eyndhoven; Martijn Bousse; Borbála Hunyadi; Lieven De Lathauwer; Sabine Van Huffel (MLSP, 2018)

Linear systems with a canonical polyadic decomposition constrained solution: Algorithms and applications. - Martijn Bousse; Nico Vervliet; Ignat Domanov; Otto Debals; Lieven De Lathauwer (Numer. Linear Algebra Appl., 2018)

Algorithms for Canonical Polyadic Decomposition With Block-Circulant Factors. - Frederik Van Eeghem; Lieven De Lathauwer (IEEE Signal Process. Lett., 2018)

Tensor Similarity in Two Modes. - Frederik Van Eeghem; Otto Debals; Lieven De Lathauwer (IEEE Trans. Signal Process., 2018)

Coupled and Incomplete Tensors in Blind System Identification. - Frederik Van Eeghem; Otto Debals; Nico Vervliet; Lieven De Lathauwer (IEEE Trans. Signal Process., 2018)

Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation. - Xiao-Feng Gong; Qiu-Hua Lin; Fengyu Cong; Lieven De Lathauwer (IEEE Trans. Signal Process., 2018)

Coupled Canonical Polyadic Decompositions and Multiple Shift Invariance in Array Processing. - Mikael Sørensen; Ignat Domanov; Lieven De Lathauwer (IEEE Trans. Signal Process., 2018)

Low Multilinear Rank Updating. - Michiel Vandecappelle; Lieven De Lathauwer (ACSSC, 2019)

Algebraic and Optimization Based Algorithms for Multivariate Regression Using Symmetric Tensor Decomposition. - Stijn Hendrikx; Martijn Boussé; Nico Vervliet; Lieven De Lathauwer (CAMSAP, 2019)

Recent Numerical and Conceptual Advances for Tensor Decompositions - A Preview of Tensorlab 4.0. - Nico Vervliet; Michiel Vandecappelle; Martijn Boussé; Rob Zink; Lieven De Lathauwer (DSW, 2019)

Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions. - Alexander Caicedo; Ofelie De Wel; Michiel Vandecappelle; Liesbeth Thewissen; Anne Smits; Karel Allegaert; Lieven De Lathauwer; Gunnar Naulaers; Sabine Van Huffel (EMBC, 2019)

NLS Algorithm for Kronecker-Structured Linear Systems with a CPD Constrained Solution. - Martijn Boussé; Nikos D. Sidiropoulos; Lieven De Lathauwer (EUSIPCO, 2019)

Identifying Stable Components of Matrix /Tensor Factorizations via Low-Rank Approximation of Inter-Factorization Similarity. - Simon Van Eyndhoven; Nico Vervliet; Lieven De Lathauwer; Sabine Van Huffel (EUSIPCO, 2019)

Rank-one Tensor Approximation with Beta-divergence Cost Functions. - Michiel Vandecappelle; Nico Vervliet; Lieven De Lathauwer (EUSIPCO, 2019)

Tensor-based Blind fMRI Source Separation Without the Gaussian Noise Assumption - A β-Divergence Approach. - Christos Chatzichristos; Michiel Vandecappelle; Eleftherios Kofidis; Sergios Theodoridis; Lieven De Lathauwer; Sabine Van Huffel (GlobalSIP, 2019)

Canonical Polyadic Decomposition of a Tensor That Has Missing Fibers: A Monomial Factorization Approach. - Mikael Sørensen; Nicholas D. Sidiropoulos; Lieven De Lathauwer (ICASSP, 2019)

Rayleigh Quotient Methods for Estimating Common Roots of Noisy Univariate Polynomials. - Alwin Stegeman; Lieven De Lathauwer (Comput. Methods Appl. Math., 2019)

Fiber Sampling Approach to Canonical Polyadic Decomposition and Application to Tensor Completion. - Mikael Sørensen; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2019)

Exploiting Efficient Representations in Large-Scale Tensor Decompositions. - Nico Vervliet; Otto Debals; Lieven De Lathauwer (SIAM J. Sci. Comput., 2019)

Double coupled canonical polyadic decomposition of third-order tensors: Algebraic algorithm and relaxed uniqueness conditions. - Xiao-Feng Gong; Qiu-Hua Lin; Fengyu Cong; Lieven De Lathauwer (Signal Process. Image Commun., 2019)

Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging. - Halandur Nagaraja Bharath; Otto Debals; Diana Maria Sima; Uwe Himmelreich; Lieven De Lathauwer; Sabine Van Huffel (IEEE Trans. Biomed. Eng., 2019)

A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition. - Nico Vervliet; Andreas Themelis; Panagiotis Patrinos; Lieven De Lathauwer (EUSIPCO, 2020)

Early soft and flexible fusion of EEG and fMRI via tensor decompositions. - Christos Chatzichristos; Eleftherios Kofidis; Lieven De Lathauwer; Sergios Theodoridis; Sabine Van Huffel (CoRR, 2020)

Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors. - Xiao Fu 001; Nico Vervliet; Lieven De Lathauwer; Kejun Huang; Nicolas Gillis (CoRR, 2020)

On Uniqueness and Computation of the Decomposition of a Tensor into Multilinear Rank-(1, Lr, Lr) Terms. - Ignat Domanov; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2020)

Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective. - Xiao Fu 001; Nico Vervliet; Lieven De Lathauwer; Kejun Huang; Nicolas Gillis (IEEE Signal Process. Mag., 2020)

A Second-Order Method for Fitting the Canonical Polyadic Decomposition With Non-Least-Squares Cost. - Michiel Vandecappelle; Nico Vervliet; Lieven De Lathauwer (IEEE Trans. Signal Process., 2020)

Tensor-Based Multivariate Polynomial Optimization with Application in Blind Identification. - Muzaffer Ayvaz; Lieven De Lathauwer (EUSIPCO, 2021)

Hierarchical alternating nonlinear least squares for nonnegative matrix factorization using rational functions. - Cécile Hautecoeur; François Glineur; Lieven De Lathauwer (EUSIPCO, 2021)

Inexact Generalized Gauss-Newton for Scaling the Canonical Polyadic Decomposition With Non-Least-Squares Cost Functions. - Michiel Vandecappelle; Nico Vervliet; Lieven De Lathauwer (IEEE J. Sel. Top. Signal Process., 2021)

From Computation to Comparison of Tensor Decompositions. - Ignat Domanov; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2021)

Systems of Polynomial Equations, Higher-Order Tensor Decompositions, and Multidimensional Harmonic Retrieval: A Unifying Framework. Part II: The Block Term Decomposition. - Jeroen Vanderstukken; Patrick Kürschner; Ignat Domanov; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2021)

Systems of Polynomial Equations, Higher-order Tensor Decompositions, and Multidimensional Harmonic Retrieval: A Unifying Framework. Part I: The Canonical Polyadic Decomposition. - Jeroen Vanderstukken; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2021)

CPD Computation via Recursive Eigenspace Decompositions. - Eric Evert; Michiel Vandecappelle; Lieven De Lathauwer (ICASSP, 2022)

CPD-Structured Multivariate Polynomial Optimization. - Muzaffer Ayvaz; Lieven De Lathauwer (Frontiers Appl. Math. Stat., 2022)

Block Row Kronecker-Structured Linear Systems With a Low-Rank Tensor Solution. - Stijn Hendrikx; Lieven De Lathauwer (Frontiers Appl. Math. Stat., 2022)

Regression and Classification With Spline-Based Separable Expansions. - Nithin Govindarajan; Nico Vervliet; Lieven De Lathauwer (Frontiers Big Data, 2022)

Equivalent polyadic decompositions of matrix multiplication tensors. - Guillaume O. Berger; Pierre-Antoine Absil; Lieven De Lathauwer; Raphaël M. Jungers; Marc Van Barel (J. Comput. Appl. Math., 2022)

Guarantees for Existence of a Best Canonical Polyadic Approximation of a Noisy Low-Rank Tensor. - Eric Evert; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2022)

A Recursive Eigenspace Computation for the Canonical Polyadic Decomposition. - Eric Evert; Michiel Vandecappelle; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2022)

$(L_r, L_r, 1)$-Decompositions, Sparse Component Analysis, and the Blind Separation of Sums of Exponentials. - Nithin Govindarajan; Ethan N. Epperly; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2022)

From multilinear SVD to multilinear UTV decomposition. - Michiel Vandecappelle; Lieven De Lathauwer (Signal Process., 2022)

Canonical Polyadic Decomposition via the Generalized Schur Decomposition. - Eric Evert; Michiel Vandecappelle; Lieven De Lathauwer (IEEE Signal Process. Lett., 2022)

Updating the Multilinear UTV Decomposition. - Michiel Vandecappelle; Lieven De Lathauwer (IEEE Trans. Signal Process., 2022)

Uniqueness Result and Algebraic Algorithm for Decomposition into Multilinear Rank- $(M_{r}, N_{r}, cdot)$ Terms and Joint Block Diagonalization. - Eric Evert; Nico Vervliet; Ignat Domanov; Lieven De Lathauwer (CAMSAP, 2023)

Overdetermined Systems of Polynomial Equations: Tensor-Based Solution and Application. - Raphaël Widdershoven; Nithin Govindarajan; Lieven De Lathauwer (EUSIPCO, 2023)

Multilinear singular value decomposition of a tensor with fibers observed along one mode*. - Stijn Hendrikx; Mikael Sørensen; Lieven De Lathauwer (SSP, 2023)

Tensorlab+: A Case Study on Reproducibility in Tensor Research. - Stijn Hendrikx; Raphaël Widdershoven; Nico Vervliet; Lieven De Lathauwer (Comput. Sci. Eng., 2023)

Factorizer: A scalable interpretable approach to context modeling for medical image segmentation. - Pooya Ashtari; Diana Maria Sima; Lieven De Lathauwer; Dominique Sappey-Marinier; Frederik Maes; Sabine Van Huffel (Medical Image Anal., 2023)

Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions. - Cécile Hautecoeur; Lieven De Lathauwer; Nicolas Gillis; François Glineur (IEEE Trans. Signal Process., 2023)

On Best Low Rank Approximation of Positive Definite Tensors. - Eric Evert; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2023)

Tensor Train Completion of Multi-Way Data Observed Along One Mode. - Shakir Showkat Sofi; Stijn Hendrikx; Lieven De Lathauwer (EUSIPCO, 2024)

A Bézoutian-Based Method for Solving Overdetermined Systems of Polynomial Equations. - Raphaël Widdershoven; Nico Vervliet; Lieven De Lathauwer (EUSIPCO, 2024)

Decomposition of a Tensor into Multilinear Rank- ({(M_{{r}},N_{{r}}, cdot )} ) Terms. - Ignat Domanov; Nico Vervliet; Eric Evert; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2024)

A Fast Algorithm for Computing Macaulay Null Spaces of Bivariate Polynomial Systems. - Nithin Govindarajan; Raphaël Widdershoven; Shivkumar Chandrasekaran; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2024)

Multilinear Singular Value Decomposition-Based Completion with Fibers Observed in a Single Mode. - Mikael Sørensen; Stijn Hendrikx; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2025)

Tensor Train Quantum State Tomography using Compressed Sensing. - Shakir Showkat Sofi; Charlotte Vermeylen; Lieven De Lathauwer (CoRR, 2025)

Tensor Train Completion from Fiberwise Observations Along a Single Mode. - Shakir Showkat Sofi; Lieven De Lathauwer (CoRR, 2025)

Reducing swamp behavior for the canonical polyadic decomposition problem by rank-1 freezing. - Charlotte Vermeylen; Nico Vervliet; Lieven De Lathauwer (Numer. Algorithms, 2025)

Tensor decompositions for signal processing: Theory, advances, and applications. - Neriman Tokcan; Shakir Showkat Sofi; Van Tien Pham; Clémence Prévost; Sofiane Kharbech; Baptiste Magnier; Thanh Phuong Nguyen 001; Yassine Zniyed; Lieven De Lathauwer (Signal Process., 2026)