Nico Vervliet

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 25

Top Topics

Tensor Decomposition

Nonlinear Least Squares

Convex Optimization

Kullback Leibler

Top Venues

IEEE J. Sel. Top. Signal Process.

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)
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, Raphaël Widdershoven, Nico Vervliet, Lieven De Lathauwer
: A Case Study on Reproducibility in Tensor Research. Comput. Sci. Eng. 25 (5) (2023)
Nithin Govindarajan, Nico Vervliet, Lieven De Lathauwer
Regression and Classification With Spline-Based Separable Expansions. Frontiers Big Data 5 (2022)
Simon Van Eyndhoven, Patrick Dupont, Simon Tousseyn, Nico Vervliet, Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi
Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data. NeuroImage 228 (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)
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)
Simon Van Eyndhoven, Patrick Dupont, Simon Tousseyn, Nico Vervliet, Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi
Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data. 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)
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)
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)
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)
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)
Michiel Vandecappelle, Martijn Bousse, Nico Vervliet, Lieven De Lathauwer
CPD Updating Using Low-Rank Weights. ICASSP (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)
Martijn Bousse, Griet Goovaerts, Nico Vervliet, Otto Debals, Sabine Van Huffel, Lieven De Lathauwer
Irregular heartbeat classification using Kronecker Product Equations. EMBC (2017)
Martijn Bousse, Nico Vervliet, Otto Debals, Lieven De Lathauwer
Face recognition as a kronecker product equation. CAMSAP (2017)
Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer
Nonlinear least squares updating of the canonical polyadic decomposition. EUSIPCO (2017)
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)
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)
Nico Vervliet, Otto Debals, Laurent Sorber, Lieven De Lathauwer
Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis. IEEE Signal Process. Mag. 31 (5) (2014)