Nico Vervliet - RankMe

28 papers Misc 3Journal 15Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Reducing swamp behavior for the canonical polyadic decomposition problem by rank-1 freezing. Numer. Algorithms Charlotte Vermeylen, Nico Vervliet, Lieven De Lathauwer
2024	—	`conf`	A Bézoutian-Based Method for Solving Overdetermined Systems of Polynomial Equations. EUSIPCO Raphaël Widdershoven, Nico Vervliet, Lieven De Lathauwer
2024	J	`jnl`	Decomposition of a Tensor into Multilinear Rank-${(M_{{r}},N_{{r}},\cdot )}$ Terms. SIAM J. Matrix Anal. Appl. Ignat Domanov, Nico Vervliet, Eric Evert, Lieven De Lathauwer
2023	J	`jnl`	Tensorlab Comput. Sci. Eng. Stijn Hendrikx, Raphaël Widdershoven, Nico Vervliet, Lieven De Lathauwer
2023	—	`conf`	Uniqueness Result and Algebraic Algorithm for Decomposition into Multilinear Rank- $(M_{r}, N_{r}, \cdot)$ Terms and Joint Block Diagonalization. CAMSAP Eric Evert, Nico Vervliet, Ignat Domanov, Lieven De Lathauwer
2022	J	`jnl`	Regression and Classification With Spline-Based Separable Expansions. Frontiers Big Data Nithin Govindarajan, Nico Vervliet, Lieven De Lathauwer
2021	J	`jnl`	Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data. NeuroImage Simon Van Eyndhoven, Patrick Dupont, Simon Tousseyn, Nico Vervliet, Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi
2021	J	`jnl`	Inexact Generalized Gauss-Newton for Scaling the Canonical Polyadic Decomposition With Non-Least-Squares Cost Functions. IEEE J. Sel. Top. Signal Process. Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer
2020	—	`conf`	A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition. EUSIPCO Nico Vervliet, Andreas Themelis, Panagiotis Patrinos, Lieven De Lathauwer
2020	J	`jnl`	A Second-Order Method for Fitting the Canonical Polyadic Decomposition With Non-Least-Squares Cost. IEEE Trans. Signal Process. Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer
2020	J	`jnl`	Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data. CoRR Simon Van Eyndhoven, Patrick Dupont, Simon Tousseyn, Nico Vervliet, Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi
2020	J	`jnl`	Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective. IEEE Signal Process. Mag. Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis
2020	J	`jnl`	Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors. CoRR Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis
2019	—	`conf`	Algebraic and Optimization Based Algorithms for Multivariate Regression Using Symmetric Tensor Decomposition. CAMSAP Stijn Hendrikx, Martijn Boussé, Nico Vervliet, Lieven De Lathauwer
2019	J	`jnl`	Exploiting Efficient Representations in Large-Scale Tensor Decompositions. SIAM J. Sci. Comput. Nico Vervliet, Otto Debals, Lieven De Lathauwer
2019	—	`conf`	Identifying Stable Components of Matrix /Tensor Factorizations via Low-Rank Approximation of Inter-Factorization Similarity. EUSIPCO Simon Van Eyndhoven, Nico Vervliet, Lieven De Lathauwer, Sabine Van Huffel
2019	—	`conf`	Rank-one Tensor Approximation with Beta-divergence Cost Functions. EUSIPCO Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer
2019	—	`conf`	Recent Numerical and Conceptual Advances for Tensor Decompositions - A Preview of Tensorlab 4.0. DSW Nico Vervliet, Michiel Vandecappelle, Martijn Boussé, Rob Zink, Lieven De Lathauwer
2018	Misc	`conf`	CPD Updating Using Low-Rank Weights. ICASSP Michiel Vandecappelle, Martijn Bousse, Nico Vervliet, Lieven De Lathauwer
2018	J	`jnl`	Coupled and Incomplete Tensors in Blind System Identification. IEEE Trans. Signal Process. Frederik Van Eeghem, Otto Debals, Nico Vervliet, Lieven De Lathauwer
2018	J	`jnl`	Linear systems with a canonical polyadic decomposition constrained solution: Algorithms and applications. Numer. Linear Algebra Appl. Martijn Bousse, Nico Vervliet, Ignat Domanov, Otto Debals, Lieven De Lathauwer
2017	—	`conf`	Face recognition as a kronecker product equation. CAMSAP Martijn Bousse, Nico Vervliet, Otto Debals, Lieven De Lathauwer
2017	—	`conf`	Irregular heartbeat classification using Kronecker Product Equations. EMBC Martijn Bousse, Griet Goovaerts, Nico Vervliet, Otto Debals, Sabine Van Huffel, Lieven De Lathauwer
2017	—	`conf`	Nonlinear least squares updating of the canonical polyadic decomposition. EUSIPCO Michiel Vandecappelle, Nico Vervliet, Lieven De Lathauwer
2016	J	`jnl`	A Randomized Block Sampling Approach to Canonical Polyadic Decomposition of Large-Scale Tensors. IEEE J. Sel. Top. Signal Process. Nico Vervliet, Lieven De Lathauwer
2016	Misc	`conf`	Coupled rank-(Lm, Ln, •) block term decomposition by coupled block simultaneous generalized Schur decomposition. ICASSP Xiao-Feng Gong, Qiu-Hua Lin, Otto Debals, Nico Vervliet, Lieven De Lathauwer
2016	Misc	`conf`	Tensorlab 3.0 - Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization. ACSSC Nico Vervliet, Otto Debals, Lieven De Lathauwer
2014	J	`jnl`	Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis. IEEE Signal Process. Mag. Nico Vervliet, Otto Debals, Laurent Sorber, Lieven De Lathauwer