Nico Vervliet

According to our database, Nico Vervliet authored at least 26 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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 Bézoutian-Based Method for Solving Overdetermined Systems of Polynomial Equations.

Raphaël Widdershoven, Nico Vervliet, Lieven De Lathauwer

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Tensorlab⁺: A Case Study on Reproducibility in Tensor Research.

Stijn Hendrikx, Raphaël Widdershoven, Nico Vervliet, Lieven De Lathauwer

Comput. Sci. Eng., 2023

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

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

Regression and Classification With Spline-Based Separable Expansions.

Nithin Govindarajan, Nico Vervliet, Lieven De Lathauwer

Frontiers Big Data, 2022

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

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

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

Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective.

Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis

IEEE Signal Process. Mag., 2020

Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors.

Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis

CoRR, 2020

A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition.

Nico Vervliet, Andreas Themelis, Panagiotis Patrinos, Lieven De Lathauwer

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Exploiting Efficient Representations in Large-Scale Tensor Decompositions.

Nico Vervliet, Otto Debals, Lieven De Lathauwer

SIAM J. Sci. Comput., 2019

Rank-one Tensor Approximation with Beta-divergence Cost Functions.

Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer

Proceedings of the 27th European Signal Processing Conference, 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

Proceedings of the 27th European Signal Processing Conference, 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

Proceedings of the IEEE Data Science Workshop, 2019

Algebraic and Optimization Based Algorithms for Multivariate Regression Using Symmetric Tensor Decomposition.

Stijn Hendrikx, Martijn Boussé, Nico Vervliet, Lieven De Lathauwer

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

Coupled and Incomplete Tensors in Blind System Identification.

Frederik Van Eeghem, Otto Debals, Nico Vervliet, Lieven De Lathauwer

IEEE Trans. Signal Process., 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

CPD Updating Using Low-Rank Weights.

Michiel Vandecappelle, Martijn Bousse, Nico Vervliet, Lieven De Lathauwer

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Nonlinear least squares updating of the canonical polyadic decomposition.

Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer

Proceedings of the 25th European Signal Processing Conference, 2017

Irregular heartbeat classification using Kronecker Product Equations.

Martijn Bousse, Griet Goovaerts, Nico Vervliet, Otto Debals, Sabine Van Huffel, Lieven De Lathauwer

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Face recognition as a kronecker product equation.

Martijn Bousse, Nico Vervliet, Otto Debals, Lieven De Lathauwer

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

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

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

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Tensorlab 3.0 - Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization.

Nico Vervliet, Otto Debals, Lieven De Lathauwer

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

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