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2020 – today
- 2024
[j70]Flavia Esposito
, Syed Muhammad Atif, Nicolas Gillis:
Accelerated SVD-based initialization for nonnegative matrix factorization. Comput. Appl. Math. 43(6): 392 (2024)- [j69]Nicolas Gillis, Robert Luce:
Checking the Sufficiently Scattered Condition Using a Global Non-Convex Optimization Software. IEEE Signal Process. Lett. 31: 1610-1614 (2024) - [c33]Olivier Vu Thanh, Nicolas Gillis:
Minimum-Volume Nonnegative Matrix Completion. EUSIPCO 2024: 2452-2456 - [c32]Atharva Awari, Harrison Nguyen, Samuel Wertz, Arnaud Vandaele, Nicolas Gillis:
Coordinate Descent Algorithm for Nonlinear Matrix Decomposition with the ReLU Function. EUSIPCO 2024: 2622-2626 - [c31]Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari:
Subtractive Mixture Models via Squaring: Representation and Learning. ICLR 2024 - [i70]Le Thi Khanh Hien, Valentin Leplat, Nicolas Gillis:
Block Majorization Minimization with Extrapolation and Application to β-NMF. CoRR abs/2401.06646 (2024) - [i69]Nicolas Gillis, Robert Luce:
Checking the Sufficiently Scattered Condition using a Global Non-Convex Optimization Software. CoRR abs/2402.06019 (2024) - [i68]Maryam Abdolali, Giovanni Barbarino, Nicolas Gillis:
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization. CoRR abs/2403.20197 (2024) - [i67]Nicolas Gillis, Stefano Sicilia:
Minimum-norm solutions of the non-symmetric semidefinite Procrustes problem. CoRR abs/2406.02203 (2024) - 2023
- [j68]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis:
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization. J. Mach. Learn. Res. 24: 18:1-18:41 (2023) - [j67]Valentin Leplat, Yurii E. Nesterov, Nicolas Gillis, François Glineur:
Conic optimization-based algorithms for nonnegative matrix factorization. Optim. Methods Softw. 38(4): 837-859 (2023) - [j66]Pierre De Handschutter, Nicolas Gillis:
A consistent and flexible framework for deep matrix factorizations. Pattern Recognit. 134: 109102 (2023) - [j65]Nicolas Gillis, Róbert Rajkó:
Partial Identifiability for Nonnegative Matrix Factorization. SIAM J. Matrix Anal. Appl. 44(1): 27-52 (2023) - [j64]Cécile Hautecoeur, Lieven De Lathauwer, Nicolas Gillis, François Glineur:
Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions. IEEE Trans. Signal Process. 71: 1712-1724 (2023) - [j63]Olivier Vu Thanh, Nicolas Gillis, Fabian Lecron:
Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications. IEEE Trans. Signal Process. 71: 2434-2447 (2023) - [c30]Pierre De Handschutter, Nicolas Gillis, Wivine Blekic:
Deep Symmetric Matrix Factorization. EUSIPCO 2023: 635-639 - [c29]Olivier Vu Thanh, Nicolas Gillis:
Identifiability of Polytopic Matrix Factorization. EUSIPCO 2023: 1290-1294 - [c28]Alexandra Dache, Arnaud Vandaele, Nicolas Gillis, Nicolas Nadisic:
Exact and Heuristic Methods for Simultaneous Sparse Coding. EUSIPCO 2023: 1753-1757 - [c27]Christos Kolomvakis, Nicolas Gillis:
Robust Binary Component Decompositions. ICASSP 2023: 1-5 - [c26]Christos Kolomvakis, Arnaud Vandaele, Nicolas Gillis:
Algorithms for Boolean Matrix Factorization using Integer Programming. MLSP 2023: 1-6 - [c25]Giovanni Seraghiti, Atharva Awari, Arnaud Vandaele, Margherita Porcelli, Nicolas Gillis:
Accelerated Algorithms For Nonlinear Matrix Decomposition With The Relu Function. MLSP 2023: 1-6 - [i66]Giovanni Seraghiti, Atharva Awari, Arnaud Vandaele, Margherita Porcelli, Nicolas Gillis:
Accelerated Algorithms for Nonlinear Matrix Decomposition with the ReLU function. CoRR abs/2305.08687 (2023) - [i65]Christos Kolomvakis, Arnaud Vandaele, Nicolas Gillis:
Algorithms for Boolean Matrix Factorization using Integer Programming. CoRR abs/2305.10185 (2023) - [i64]Valentin Leplat, Le Thi Khanh Hien, Akwum Onwunta, Nicolas Gillis:
Deep Nonnegative Matrix Factorization with Beta Divergences. CoRR abs/2309.08249 (2023) - [i63]Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari:
Subtractive Mixture Models via Squaring: Representation and Learning. CoRR abs/2310.00724 (2023) - [i62]Nicolas Gillis, Paul Van Dooren:
Assigning Stationary Distributions to Sparse Stochastic Matrices. CoRR abs/2312.16011 (2023) - 2022
- [j62]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis:
Inertial alternating direction method of multipliers for non-convex non-smooth optimization. Comput. Optim. Appl. 83(1): 247-285 (2022) - [j61]Maryam Abdolali, Nicolas Gillis:
Revisiting data augmentation for subspace clustering. Knowl. Based Syst. 258: 109974 (2022) - [j60]Nicolas Nadisic, Jeremy E. Cohen, Arnaud Vandaele, Nicolas Gillis:
Matrix-wise ℓ 0-constrained sparse nonnegative least squares. Mach. Learn. 111(12): 4453-4495 (2022) - [j59]Nicolas Gillis, Le Thi Khanh Hien, Valentin Leplat, Vincent Y. F. Tan:
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4052-4064 (2022) - [j58]Valentin Leplat, Nicolas Gillis, Cédric Févotte:
Multi-resolution beta-divergence NMF for blind spectral unmixing. Signal Process. 193: 108428 (2022) - [j57]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos:
Block Bregman Majorization Minimization with Extrapolation. SIAM J. Math. Data Sci. 4(1): 1-25 (2022) - [j56]Riyasat Ohib, Nicolas Gillis, Niccolò Dalmasso, Sameena Shah, Vamsi K. Potluru, Sergey M. Plis:
Explicit Group Sparse Projection with Applications to Deep Learning and NMF. Trans. Mach. Learn. Res. 2022 (2022) - [c24]Maryam Abdolali, Nicolas Gillis:
Subspace Clustering Using Unsupervised Data Augmentation. ICASSP 2022: 3868-3872 - [c23]Olivier Vu Thanh, Nicolas Gillis, Fabian Lecron:
Bounded Simplex-Structured Matrix Factorization. ICASSP 2022: 9062-9066 - [i61]Nicolas Gillis, Punit Sharma:
Solving matrix nearness problems via Hamiltonian systems, matrix factorization, and optimization. CoRR abs/2202.02618 (2022) - [i60]Nicolas Gillis, Róbert Rajkó:
Partial Identifiability for Nonnegative Matrix Factorization. CoRR abs/2206.08022 (2022) - [i59]Pierre De Handschutter, Nicolas Gillis:
A consistent and flexible framework for deep matrix factorizations. CoRR abs/2206.10693 (2022) - [i58]Maryam Abdolali, Nicolas Gillis:
Revisiting data augmentation for subspace clustering. CoRR abs/2207.09728 (2022) - [i57]Cécile Hautecoeur, Lieven De Lathauwer, Nicolas Gillis, François Glineur:
Least-squares methods for nonnegative matrix factorization over rational functions. CoRR abs/2209.12579 (2022) - [i56]Olivier Vu Thanh, Nicolas Gillis, Fabian Lecron:
Bounded Simplex-Structured Matrix Factorization. CoRR abs/2209.12638 (2022) - [i55]Neelam Choudhary, Nicolas Gillis, Punit Sharma:
Characterizing matrices with eigenvalues in an LMI region: A dissipative-Hamiltonian approach. CoRR abs/2210.07326 (2022) - 2021
- [j55]Syed Muhammad Atif, Nicolas Gillis, Sameer Qazi, Imran Naseem:
Structured nonnegative matrix factorization for traffic flow estimation of large cloud networks. Comput. Networks 201: 108564 (2021) - [j54]Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos:
Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization. Comput. Optim. Appl. 79(3): 681-715 (2021) - [j53]Pierre De Handschutter, Nicolas Gillis, Xavier Siebert:
A survey on deep matrix factorizations. Comput. Sci. Rev. 42: 100423 (2021) - [j52]Maryam Abdolali, Nicolas Gillis:
Beyond linear subspace clustering: A comparative study of nonlinear manifold clustering algorithms. Comput. Sci. Rev. 42: 100435 (2021) - [j51]Julien Dewez, Nicolas Gillis, François Glineur:
A geometric lower bound on the extension complexity of polytopes based on the f-vector. Discret. Appl. Math. 303: 22-38 (2021) - [j50]Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos:
A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization. J. Optim. Theory Appl. 190(1): 234-258 (2021) - [j49]Le Thi Khanh Hien, Nicolas Gillis:
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence. J. Sci. Comput. 87(3): 93 (2021) - [j48]François Moutier, Arnaud Vandaele, Nicolas Gillis:
Off-diagonal symmetric nonnegative matrix factorization. Numer. Algorithms 88(2): 939-963 (2021) - [j47]Andersen Man Shun Ang, Jeremy E. Cohen, Nicolas Gillis, Le Thi Khanh Hien:
Accelerating block coordinate descent for nonnegative tensor factorization. Numer. Linear Algebra Appl. 28(5) (2021) - [j46]Mohit Kumar Baghel, Nicolas Gillis, Punit Sharma:
Characterization of the dissipative mappings and their application to perturbations of dissipative-Hamiltonian systems. Numer. Linear Algebra Appl. 28(6) (2021) - [j45]Junjun Pan, Nicolas Gillis:
Generalized Separable Nonnegative Matrix Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1546-1561 (2021) - [j44]Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon:
Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures. SIAM J. Imaging Sci. 14(4): 1848-1889 (2021) - [j43]Valentin Leplat, Nicolas Gillis, Jérôme Idier:
Multiplicative Updates for NMF with β-Divergences under Disjoint Equality Constraints. SIAM J. Matrix Anal. Appl. 42(2): 730-752 (2021) - [j42]Maryam Abdolali, Nicolas Gillis:
Simplex-Structured Matrix Factorization: Sparsity-Based Identifiability and Provably Correct Algorithms. SIAM J. Math. Data Sci. 3(2): 593-623 (2021) - [c22]Olivier Vu Thanh, Andersen Man Shun Ang, Nicolas Gillis, Le Thi Khanh Hien:
Inertial Majorization-Minimization Algorithm for Minimum-Volume NMF. EUSIPCO 2021: 1065-1069 - [c21]Pierre De Handschutter, Nicolas Gillis:
Deep orthogonal matrix factorization as a hierarchical clustering technique. EUSIPCO 2021: 1466-1470 - [c20]Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis, Jeremy E. Cohen:
Exact Biobjective k-Sparse Nonnegative Least Squares. EUSIPCO 2021: 2079-2083 - [c19]Andersen Ang, Valentin Leplat, Nicolas Gillis:
Fast algorithm for complex-NMF with application to source separation. EUSIPCO 2021: 2084-2088 - [c18]Andersen Man Shun Ang, Nicolas Gillis, Arnaud Vandaele, Hans De Sterck:
Nonnegative Unimodal Matrix Factorization. ICASSP 2021: 3270-3274 - [i54]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis:
A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization. CoRR abs/2102.05433 (2021) - [i53]Maryam Abdolali, Nicolas Gillis:
Beyond Linear Subspace Clustering: A Comparative Study of Nonlinear Manifold Clustering Algorithms. CoRR abs/2103.10656 (2021) - [i52]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos:
Block Alternating Bregman Majorization Minimization with Extrapolation. CoRR abs/2107.04395 (2021) - [i51]Nicolas Nadisic, Nicolas Gillis, Christophe Kervazo:
Smoothed Separable Nonnegative Matrix Factorization. CoRR abs/2110.05528 (2021) - [i50]Syed Muhammad Atif, Nicolas Gillis, Sameer Qazi, Imran Naseem:
Structured Nonnegative Matrix Factorization for Traffic Flow Estimation of Large Cloud Networks. CoRR abs/2110.07926 (2021) - 2020
- [j41]Kahina Ghazli, Nicolas Gillis, Mustapha Moulaï:
Optimizing over the properly efficient set of convex multi-objective optimization problems. Ann. Oper. Res. 295(2): 575-604 (2020) - [j40]Neelam Choudhary, Nicolas Gillis, Punit Sharma:
On approximating the nearest Ω-stable matrix. Numer. Linear Algebra Appl. 27(3) (2020) - [j39]Pierre De Handschutter, Nicolas Gillis, Arnaud Vandaele, Xavier Siebert:
Near-Convex Archetypal Analysis. IEEE Signal Process. Lett. 27: 81-85 (2020) - [j38]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): 78-94 (2020) - [j37]Anthony Degleris, Nicolas Gillis:
A Provably Correct and Robust Algorithm for Convolutive Nonnegative Matrix Factorization. IEEE Trans. Signal Process. 68: 2499-2512 (2020) - [j36]Valentin Leplat, Nicolas Gillis, Andersen Man Shun Ang:
Blind Audio Source Separation With Minimum-Volume Beta-Divergence NMF. IEEE Trans. Signal Process. 68: 3400-3410 (2020) - [c17]Timothy Marrinan, Nicolas Gillis:
Hyperspectral Unmixing with Rare Endmembers via Minimax Nonnegative Matrix Factorization. EUSIPCO 2020: 1015-1019 - [c16]Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon:
Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures. EUSIPCO 2020: 1951-1955 - [c15]Andersen Man Shun Ang, Jeremy E. Cohen, Le Thi Khanh Hien, Nicolas Gillis:
Extrapolated Alternating Algorithms for Approximate Canonical Polyadic Decomposition. ICASSP 2020: 3147-3151 - [c14]Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis, Jeremy E. Cohen:
Exact Sparse Nonnegative Least Squares. ICASSP 2020: 5395-5399 - [c13]Hien Le, Nicolas Gillis, Panagiotis Patrinos:
Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization. ICML 2020: 5671-5681 - [c12]Nicolas Nadisic, Arnaud Vandaele, Jeremy E. Cohen, Nicolas Gillis:
Sparse Separable Nonnegative Matrix Factorization. ECML/PKDD (1) 2020: 335-350 - [i49]Andersen Man Shun Ang, Jeremy E. Cohen, Nicolas Gillis, Le Thi Khanh Hien:
Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization. CoRR abs/2001.04321 (2020) - [i48]Masoud Ahookhosh, Nicolas Gillis, Panagiotis Patrinos:
A block inertial Bregman proximal algorithm for nonsmooth nonconvex problems. CoRR abs/2003.03963 (2020) - [i47]François Moutier, Arnaud Vandaele, Nicolas Gillis:
Off-diagonal Symmetric Nonnegative Matrix Factorization. CoRR abs/2003.04775 (2020) - [i46]Timothy Marrinan, Pierre-Antoine Absil, Nicolas Gillis:
On a minimum enclosing ball of a collection of linear subspaces. CoRR abs/2003.12455 (2020) - [i45]Nicolas Nadisic, Arnaud Vandaele, Jérémy E. Cohen, Nicolas Gillis:
Sparse Separable Nonnegative Matrix Factorization. CoRR abs/2006.07553 (2020) - [i44]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 abs/2006.08183 (2020) - [i43]Valentin Leplat, Nicolas Gillis, Cédric Févotte:
Multi-Resolution Beta-Divergence NMF for Blind Spectral Unmixing. CoRR abs/2007.03893 (2020) - [i42]Maryam Abdolali, Nicolas Gillis:
Simplex-Structured Matrix Factorization: Sparsity-based Identifiability and Provably Correct Algorithms. CoRR abs/2007.11446 (2020) - [i41]Pierre De Handschutter, Nicolas Gillis, Xavier Siebert:
Deep matrix factorizations. CoRR abs/2010.00380 (2020) - [i40]Le Thi Khanh Hien, Nicolas Gillis:
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence. CoRR abs/2010.01935 (2020) - [i39]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis:
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization. CoRR abs/2010.12133 (2020) - [i38]Valentin Leplat, Nicolas Gillis, Jérôme Idier:
Multiplicative Updates for NMF with β-Divergences under Disjoint Equality Constraints. CoRR abs/2010.16223 (2020) - [i37]Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis:
A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares. CoRR abs/2011.11066 (2020) - [i36]Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon:
Provably robust blind source separation of linear-quadratic near-separable mixtures. CoRR abs/2011.11966 (2020)
2010 – 2019
- 2019
- [j35]Andersen Man Shun Ang, Nicolas Gillis:
Accelerating Nonnegative Matrix Factorization Algorithms Using Extrapolation. Neural Comput. 31(2) (2019) - [j34]Syed Muhammad Atif, Sameer Qazi, Nicolas Gillis:
Improved SVD-based initialization for nonnegative matrix factorization using low-rank correction. Pattern Recognit. Lett. 122: 53-59 (2019) - [j33]Maryam Abdolali, Nicolas Gillis, Mohammad Rahmati:
Scalable and robust sparse subspace clustering using randomized clustering and multilayer graphs. Signal Process. 163: 166-180 (2019) - [j32]Jeremy E. Cohen, Nicolas Gillis:
Identifiability of Complete Dictionary Learning. SIAM J. Math. Data Sci. 1(3): 518-536 (2019) - [j31]Andersen Man Shun Ang, Nicolas Gillis:
Algorithms and Comparisons of Nonnegative Matrix Factorizations With Volume Regularization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 4843-4853 (2019) - [c11]Nicolas Gillis:
Successive Projection Algorithm Robust to Outliers. CAMSAP 2019: 331-335 - [c10]Valentin Leplat, Andersen Man Shun Ang, Nicolas Gillis:
Minimum-volume Rank-deficient Nonnegative Matrix Factorizations. ICASSP 2019: 3402-3406 - [c9]Nicolas Gillis:
Separable Simplex-structured Matrix Factorization: Robustness of Combinatorial Approaches. ICASSP 2019: 5521-5525 - [c8]Jeremy E. Cohen, Nicolas Gillis:
Nonnegative Low-rank Sparse Component Analysis. ICASSP 2019: 8226-8230 - [i35]Nicolas Gillis, Le Thi Khanh Hien, Valentin Leplat, Vincent Y. F. Tan:
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization. CoRR abs/1901.10757 (2019) - [i34]Andersen Man Shun Ang, Nicolas Gillis:
Algorithms and Comparisons of Non-negative Matrix Factorization with Volume Regularization for Hyperspectral Unmixing. CoRR abs/1903.04362 (2019) - [i33]Junjun Pan, Nicolas Gillis:
Generalized Separable Nonnegative Matrix Factorization. CoRR abs/1905.12995 (2019) - [i32]Anthony Degleris, Nicolas Gillis:
A Provably Correct and Robust Algorithm for Convolutive Nonnegative Matrix Factorization. CoRR abs/1906.06899 (2019) - [i31]Valentin Leplat, Nicolas Gillis, Andersen Man Shun Ang:
Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF. CoRR abs/1907.02404 (2019) - [i30]Nicolas Gillis, Punit Sharma:
Minimal-norm static feedbacks using dissipative Hamiltonian matrices. CoRR abs/1907.06883 (2019) - [i29]Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos:
Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization. CoRR abs/1908.01402 (2019) - [i28]Nicolas Gillis:
Successive Projection Algorithm Robust to Outliers. CoRR abs/1908.04109 (2019) - [i27]Pierre De Handschutter, Nicolas Gillis, Arnaud Vandaele, Xavier Siebert:
Near-Convex Archetypal Analysis. CoRR abs/1910.00821 (2019) - [i26]Nicolas Gillis, Riyasat Ohib, Sergey M. Plis, Vamsi K. Potluru:
Grouped sparse projection. CoRR abs/1912.03896 (2019) - 2018
- [j30]Arnaud Vandaele, François Glineur, Nicolas Gillis:
Algorithms for positive semidefinite factorization. Comput. Optim. Appl. 71(1): 193-219 (2018) - [j29]Olivier Sobrie, Nicolas Gillis, Vincent Mousseau, Marc Pirlot:
UTA-poly and UTA-splines: Additive value functions with polynomial marginals. Eur. J. Oper. Res. 264(2): 405-418 (2018) - [j28]Nicolas Gillis:
Multiplicative updates for polynomial root finding. Inf. Process. Lett. 132: 14-18 (2018) - [j27]Jeremy E. Cohen, Nicolas Gillis:
Spectral Unmixing With Multiple Dictionaries. IEEE Geosci. Remote. Sens. Lett. 15(2): 187-191 (2018) - [j26]Nicolas Gillis, Stephen A. Vavasis:
On the Complexity of Robust PCA and ℓ1-Norm Low-Rank Matrix Approximation. Math. Oper. Res. 43(4): 1072-1084 (2018) - [j25]Nicolas Gillis, Volker Mehrmann, Punit Sharma:
Computing the nearest stable matrix pairs. Numer. Linear Algebra Appl. 25(5) (2018) - [j24]Nicolas Gillis, Punit Sharma:
Finding the Nearest Positive-Real System. SIAM J. Numer. Anal. 56(2): 1022-1047 (2018) - [j23]Nicolas Gillis, Robert Luce:
A Fast Gradient Method for Nonnegative Sparse Regression With Self-Dictionary. IEEE Trans. Image Process. 27(1): 24-37 (2018) - [j22]Jeremy Emile Cohen, Nicolas Gillis:
Dictionary-Based Tensor Canonical Polyadic Decomposition. IEEE Trans. Signal Process. 66(7): 1876-1889 (2018) - [c7]Andersen Man Shun Ang, Nicolas Gillis:
Volume regularized non-negative matrix factorizations. WHISPERS 2018: 1-5 - [i25]Maryam Abdolali, Nicolas Gillis, Mohammad Rahmati:
Scalable and Robust Sparse Subspace Clustering Using Randomized Clustering and Multilayer Graphs. CoRR abs/1802.07648 (2018) - [i24]Andersen Man Shun Ang, Nicolas Gillis:
Accelerating Nonnegative Matrix Factorization Algorithms using Extrapolation. CoRR abs/1805.06604 (2018) - [i23]Atif Muhammad Syed, Sameer Qazi, Nicolas Gillis:
Improved SVD-based Initialization for Nonnegative Matrix Factorization using Low-Rank Correction. CoRR abs/1807.04020 (2018) - [i22]Jérémy E. Cohen, Nicolas Gillis:
Identifiability of Low-Rank Sparse Component Analysis. CoRR abs/1808.08765 (2018) - 2017
- [j21]Nicolas Gillis, Punit Sharma:
On computing the distance to stability for matrices using linear dissipative Hamiltonian systems. Autom. 85: 113-121 (2017) - [j20]Melisew Tefera Belachew, Nicolas Gillis:
Solving the Maximum Clique Problem with Symmetric Rank-One Non-negative Matrix Approximation. J. Optim. Theory Appl. 173(1): 279-296 (2017) - [j19]Gabriella Casalino, Nicolas Gillis:
Sequential dimensionality reduction for extracting localized features. Pattern Recognit. 63: 15-29 (2017) - [c6]Jeremy E. Cohen, Nicolas Gillis:
A new approach to dictionary-based nonnegative matrix factorization. EUSIPCO 2017: 493-497 - [c5]Jeremy E. Cohen, Pierre Comon, Nicolas Gillis:
Some Theory on Non-negative Tucker Decomposition. LVA/ICA 2017: 152-161 - [i21]Nicolas Gillis:
Introduction to Nonnegative Matrix Factorization. CoRR abs/1703.00663 (2017) - [i20]Nicolas Gillis, Yaroslav Shitov:
Low-Rank Matrix Approximation in the Infinity Norm. CoRR abs/1706.00078 (2017) - [i19]Arnaud Vandaele, François Glineur, Nicolas Gillis:
Algorithms for Positive Semidefinite Factorization. CoRR abs/1707.07953 (2017) - 2016
- [j18]Arnaud Vandaele, Nicolas Gillis, François Glineur, Daniel Tuyttens:
Heuristics for exact nonnegative matrix factorization. J. Glob. Optim. 65(2): 369-400 (2016) - [j17]Arnaud Vandaele, Nicolas Gillis, Qi Lei, Kai Zhong, Inderjit S. Dhillon:
Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization. IEEE Trans. Signal Process. 64(21): 5571-5584 (2016) - [i18]Olivier Sobrie, Nicolas Gillis, Vincent Mousseau, Marc Pirlot:
UTA-poly and UTA-splines: additive value functions with polynomial marginals. CoRR abs/1603.02626 (2016) - 2015
- [j16]Nicolas Gillis, Wing-Kin Ma:
Enhancing Pure-Pixel Identification Performance via Preconditioning. SIAM J. Imaging Sci. 8(2): 1161-1186 (2015) - [j15]Nicolas Gillis, Stephen A. Vavasis:
Semidefinite Programming Based Preconditioning for More Robust Near-Separable Nonnegative Matrix Factorization. SIAM J. Optim. 25(1): 677-698 (2015) - [j14]Nicolas Gillis, Abhishek Kumar:
Exact and Heuristic Algorithms for Semi-Nonnegative Matrix Factorization. SIAM J. Matrix Anal. Appl. 36(4): 1404-1424 (2015) - [j13]Nicolas Gillis, Da Kuang, Haesun Park:
Hierarchical Clustering of Hyperspectral Images Using Rank-Two Nonnegative Matrix Factorization. IEEE Trans. Geosci. Remote. Sens. 53(4): 2066-2078 (2015) - [i17]Gabriella Casalino, Nicolas Gillis:
Sequential Dimensionality Reduction for Extracting Localized Features. CoRR abs/1505.06957 (2015) - [i16]Arnaud Vandaele, Nicolas Gillis, François Glineur:
On the Linear Extension Complexity of Regular n-gons. CoRR abs/1505.08031 (2015) - [i15]Arnaud Vandaele, Nicolas Gillis, Qi Lei, Kai Zhong, Inderjit S. Dhillon:
Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization. CoRR abs/1509.01404 (2015) - [i14]Nicolas Gillis, Stephen A. Vavasis:
On the Complexity of Robust PCA and ℓ1-norm Low-Rank Matrix Approximation. CoRR abs/1509.09236 (2015) - 2014
- [j12]Filippo Pompili, Nicolas Gillis, Pierre-Antoine Absil, François Glineur:
Two algorithms for orthogonal nonnegative matrix factorization with application to clustering. Neurocomputing 141: 15-25 (2014) - [j11]Nicolas Gillis, François Glineur:
A continuous characterization of the maximum-edge biclique problem. J. Glob. Optim. 58(3): 439-464 (2014) - [j10]Nicolas Gillis, Robert Luce:
Robust near-separable nonnegative matrix factorization using linear optimization. J. Mach. Learn. Res. 15(1): 1249-1280 (2014) - [j9]Nicolas Gillis, Stephen A. Vavasis:
Fast and Robust Recursive Algorithmsfor Separable Nonnegative Matrix Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 36(4): 698-714 (2014) - [j8]Nicolas Gillis:
Successive Nonnegative Projection Algorithm for Robust Nonnegative Blind Source Separation. SIAM J. Imaging Sci. 7(2): 1420-1450 (2014) - [j7]Wing-Kin Ma, José M. Bioucas-Dias, Tsung-Han Chan, Nicolas Gillis, Paul D. Gader, Antonio J. Plaza, Arul-Murugan Ambikapathi, Chong-Yung Chi:
A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing. IEEE Signal Process. Mag. 31(1): 67-81 (2014) - [c4]Nicolas Gillis, Wing-Kin Ma:
Enhancing pure-pixel identification performance via preconditioning. WHISPERS 2014: 1-4 - [i13]Nicolas Gillis:
The Why and How of Nonnegative Matrix Factorization. CoRR abs/1401.5226 (2014) - [i12]Nicolas Gillis, Wing-Kin Ma:
Enhancing Pure-Pixel Identification Performance via Preconditioning. CoRR abs/1406.5286 (2014) - [i11]Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014) - [i10]Nicolas Gillis, Abhishek Kumar:
Exact and Heuristic Algorithms for Semi-Nonnegative Matrix Factorization. CoRR abs/1410.7220 (2014) - [i9]Arnaud Vandaele, Nicolas Gillis, François Glineur, Daniel Tuyttens:
Heuristics for Exact Nonnegative Matrix Factorization. CoRR abs/1411.7245 (2014) - 2013
- [j6]Nicolas Gillis:
Robustness Analysis of Hottopixx, a Linear Programming Model for Factoring Nonnegative Matrices. SIAM J. Matrix Anal. Appl. 34(3): 1189-1212 (2013) - [c3]Filippo Pompili, Nicolas Gillis, François Glineur, Pierre-Antoine Absil:
ONP-MF: An Orthogonal Nonnegative Matrix Factorization Algorithm with Application to Clustering. ESANN 2013 - [i8]Nicolas Gillis, Stephen A. Vavasis:
Semidefinite Programming Based Preconditioning for More Robust Near-Separable Nonnegative Matrix Factorization. CoRR abs/1310.2273 (2013) - [i7]Nicolas Gillis, Da Kuang, Haesun Park:
Hierarchical Clustering of Hyperspectral Images using Rank-Two Nonnegative Matrix Factorization. CoRR abs/1310.7441 (2013) - [i6]Nicolas Gillis:
Successive Nonnegative Projection Algorithm for Robust Nonnegative Blind Source Separation. CoRR abs/1310.7529 (2013) - 2012
- [j5]Nicolas Gillis, François Glineur:
A multilevel approach for nonnegative matrix factorization. J. Comput. Appl. Math. 236(7): 1708-1723 (2012) - [j4]Nicolas Gillis:
Sparse and unique nonnegative matrix factorization through data preprocessing. J. Mach. Learn. Res. 13: 3349-3386 (2012) - [j3]Nicolas Gillis, François Glineur:
Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization. Neural Comput. 24(4): 1085-1105 (2012) - [i5]Filippo Pompili, Nicolas Gillis, Pierre-Antoine Absil, François Glineur:
Two Algorithms for Orthogonal Nonnegative Matrix Factorization with Application to Clustering. CoRR abs/1201.0901 (2012) - [i4]Nicolas Gillis, Stephen A. Vavasis:
Fast and Robust Recursive Algorithms for Separable Nonnegative Matrix Factorization. CoRR abs/1208.1237 (2012) - [i3]Nicolas Gillis:
Robustness Analysis of HottTopixx, a Linear Programming Model for Factoring Nonnegative Matrices. CoRR abs/1211.6687 (2012) - 2011
- [j2]Nicolas Gillis, François Glineur:
Low-Rank Matrix Approximation with Weights or Missing Data Is NP-Hard. SIAM J. Matrix Anal. Appl. 32(4): 1149-1165 (2011) - [c2]Nicolas Gillis, Robert J. Plemmons:
Sparse nonnegative matrix underapproximation and its application to hyperspectral image analysis. WHISPERS 2011: 1-4 - [i2]Nicolas Gillis, François Glineur:
Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization. CoRR abs/1107.5194 (2011) - 2010
- [j1]Nicolas Gillis, François Glineur:
Using underapproximations for sparse nonnegative matrix factorization. Pattern Recognit. 43(4): 1676-1687 (2010) - [i1]Nicolas Gillis, François Glineur:
A Multilevel Approach For Nonnegative Matrix Factorization. CoRR abs/1009.0881 (2010)
2000 – 2009
- 2009
- [c1]Michael W. Berry, Nicolas Gillis, François Glineur:
Document Classification using Nonnegative Matrix Factorization and Underapproximation. ISCAS 2009: 2782-2785
Coauthor Index
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