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)

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

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)

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)

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

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

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

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)

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)

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

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

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)

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)

Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data. - Simon Van Eyndhoven; Patrick Dupont; Simon Tousseyn; Nico Vervliet; Wim Van Paesschen; Sabine Van Huffel; Borbála Hunyadi (NeuroImage, 2021)

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

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

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)