Tensorlab 3.0 N Vervliet, O Debals, L Sorber, M Van Barel, L De Lathauwer
443 * 2016 Breaking the Curse of Dimensionality using Decompositions of Incomplete Tensors N Vervliet, O Debals, L Sorber, L De Lathauwer
Signal Processing Magazine, IEEE 31 (5), 71 - 79, 2014
214 * 2014 Tensorlab 3.0—numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization N Vervliet, O Debals, L De Lathauwer
2016 50th Asilomar Conference on Signals, Systems and Computers, 1733-1738, 2016
115 2016 A randomized block sampling approach to canonical polyadic decomposition of large-scale tensors N Vervliet, L De Lathauwer
IEEE Journal of Selected Topics in Signal Processing 10 (2), 284 - 295, 2016
97 2016 Linear systems with a canonical polyadic decomposition constrained solution: Algorithms and applications M Boussé, N Vervliet, I Domanov, O Debals, L De Lathauwer
Numerical Linear Algebra with Applications 26 (6), e2190, 2017
48 2017 Nonlinear least squares updating of the canonical polyadic decomposition M Vandecappelle, N Vervliet, L De Lathauwer
2017 25th European Signal Processing Conference (EUSIPCO), 663-667, 2017
41 2017 Numerical optimization based algorithms for data fusion N Vervliet, L De Lathauwer
Data Fusion Methodology and Applications, 81-128, 2019
39 2019 Exploiting efficient representations in large-scale tensor decompositions N Vervliet, O Debals, L De Lathauwer
SIAM Journal on Scientific Computing 41 (2), A789-A815, 2019
33 2019 Computing large-scale matrix and tensor decomposition with structured factors: A unified nonconvex optimization perspective X Fu, N Vervliet, L De Lathauwer, K Huang, N Gillis
IEEE Signal Processing Magazine 37 (5), 78-94, 2020
32 2020 Irregular heartbeat classification using Kronecker product equations M Boussé, G Goovaerts, N Vervliet, O Debals, S Van Huffel, ...
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
25 2017 Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data S Van Eyndhoven, P Dupont, S Tousseyn, N Vervliet, W Van Paesschen, ...
NeuroImage 228, 117652, 2021
23 2021 Canonical polyadic decomposition of incomplete tensors with linearly constrained factors N Vervliet, O Debals, L De Lathauwer
Technical Report 16–172, ESAT-STADIUS, KU Leuven, Leuven, Belgium, 2017
23 2017 A second-order method for fitting the canonical polyadic decomposition with non-least-squares cost M Vandecappelle, N Vervliet, L De Lathauwer
IEEE Transactions on Signal Processing 68, 4454-4465, 2020
21 2020 Combining thermodynamics with tensor completion techniques to enable multicomponent microstructure prediction YA Coutinho, N Vervliet, L De Lathauwer, N Moelans
npj Computational Materials 6 (1), 2, 2020
18 2020 Face recognition as a Kronecker product equation M Boussé, N Vervliet, O Debals, L De Lathauwer
2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017
12 2017 Compressed sensing approaches to large-scale tensor decompositions N Vervliet
11 2018 Coupled rank-(Lm , Ln ,) block term decomposition by coupled block simultaneous generalized Schur decomposition XF Gong, QH Lin, O Debals, N Vervliet, L De Lathauwer
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
10 2016 Identifying stable components of matrix/tensor factorizations via low-rank approximation of inter-factorization similarity S Van Eyndhoven, N Vervliet, L De Lathauwer, S Van Huffel
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
9 2019 Decomposition of a Tensor into Multilinear Rank- I Domanov, N Vervliet, E Evert, L De Lathauwer
SIAM Journal on Matrix Analysis and Applications 45 (3), 1310-1334, 2024
7 2024 Algebraic and optimization based algorithms for multivariate regression using symmetric tensor decomposition S Hendrikx, M Boussé, N Vervliet, L De Lathauwer
2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019
7 2019 
Lieven De LathauwerKULeuvenGeverifieerd e-mailadres voor kuleuven.be
