Document Classification using Nonnegative Matrix Factorization and Underapproximation. - Michael W. Berry; Nicolas Gillis; François Glineur (ISCAS, 2009)

Using underapproximations for sparse nonnegative matrix factorization. - Nicolas Gillis; François Glineur (Pattern Recognit., 2010)

Sparse nonnegative matrix underapproximation and its application to hyperspectral image analysis. - Nicolas Gillis; Robert J. Plemmons (WHISPERS, 2011)

Low-Rank Matrix Approximation with Weights or Missing Data Is NP-Hard. - Nicolas Gillis; François Glineur (SIAM J. Matrix Anal. Appl., 2011)

Nonnegative matrix factorization: complexity, algorithms and applications. - Nicolas Gillis (2011)

Fast and Robust Recursive Algorithms for Separable Nonnegative Matrix Factorization - Nicolas Gillis; Stephen A. Vavasis (CoRR, 2012)

Robustness Analysis of HottTopixx, a Linear Programming Model for Factoring Nonnegative Matrices - Nicolas Gillis (CoRR, 2012)

A multilevel approach for nonnegative matrix factorization. - Nicolas Gillis; François Glineur (J. Comput. Appl. Math., 2012)

Sparse and unique nonnegative matrix factorization through data preprocessing. - Nicolas Gillis (J. Mach. Learn. Res., 2012)

Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization. - Nicolas Gillis; François Glineur (Neural Comput., 2012)

ONP-MF: An Orthogonal Nonnegative Matrix Factorization Algorithm with Application to Clustering. - Filippo Pompili; Nicolas Gillis; François Glineur; Pierre-Antoine Absil (ESANN, 2013)

Robustness Analysis of Hottopixx, a Linear Programming Model for Factoring Nonnegative Matrices. - Nicolas Gillis (SIAM J. Matrix Anal. Appl., 2013)

The Why and How of Nonnegative Matrix Factorization. - Nicolas Gillis (CoRR, 2014)

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). - 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; et al. (CoRR, 2014)

Two algorithms for orthogonal nonnegative matrix factorization with application to clustering. - Filippo Pompili; Nicolas Gillis; Pierre-Antoine Absil; François Glineur (Neurocomputing, 2014)

A continuous characterization of the maximum-edge biclique problem. - Nicolas Gillis; François Glineur (J. Glob. Optim., 2014)

Robust near-separable nonnegative matrix factorization using linear optimization. - Nicolas Gillis; Robert Luce (J. Mach. Learn. Res., 2014)

Fast and Robust Recursive Algorithmsfor Separable Nonnegative Matrix Factorization. - Nicolas Gillis; Stephen A. Vavasis (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Successive Nonnegative Projection Algorithm for Robust Nonnegative Blind Source Separation. - Nicolas Gillis (SIAM J. Imaging Sci., 2014)

A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing. - Wing-Kin Ma; José M. Bioucas-Dias; Tsung-Han Chan; Nicolas Gillis; Paul D. Gader; Antonio J. Plaza; Arul-Murugan Ambikapathi; Chong-Yung Chi (IEEE Signal Process. Mag., 2014)

On the Complexity of Robust PCA and ℓ1-norm Low-Rank Matrix Approximation. - Nicolas Gillis; Stephen A. Vavasis (CoRR, 2015)

On the Linear Extension Complexity of Regular n-gons. - Arnaud Vandaele; Nicolas Gillis; François Glineur (CoRR, 2015)

Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization. - Arnaud Vandaele; Nicolas Gillis; Qi Lei; Kai Zhong; Inderjit S. Dhillon (CoRR, 2015)

Enhancing Pure-Pixel Identification Performance via Preconditioning. - Nicolas Gillis; Wing-Kin Ma (SIAM J. Imaging Sci., 2015)

Semidefinite Programming Based Preconditioning for More Robust Near-Separable Nonnegative Matrix Factorization. - Nicolas Gillis; Stephen A. Vavasis (SIAM J. Optim., 2015)

Exact and Heuristic Algorithms for Semi-Nonnegative Matrix Factorization. - Nicolas Gillis; Abhishek Kumar (SIAM J. Matrix Anal. Appl., 2015)

Hierarchical Clustering of Hyperspectral Images Using Rank-Two Nonnegative Matrix Factorization. - Nicolas Gillis; Da Kuang; Haesun Park (IEEE Trans. Geosci. Remote. Sens., 2015)

Heuristics for exact nonnegative matrix factorization. - Arnaud Vandaele; Nicolas Gillis; François Glineur; Daniel Tuyttens (J. Glob. Optim., 2016)

Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization. - Arnaud Vandaele; Nicolas Gillis; Qi Lei; Kai Zhong; Inderjit S. Dhillon (IEEE Trans. Signal Process., 2016)

A new approach to dictionary-based nonnegative matrix factorization. - Jeremy E. Cohen; Nicolas Gillis (EUSIPCO, 2017)

Some Theory on Non-negative Tucker Decomposition. - Jeremy E. Cohen; Pierre Comon; Nicolas Gillis (LVA/ICA, 2017)

On computing the distance to stability for matrices using linear dissipative Hamiltonian systems. - Nicolas Gillis; Punit Sharma (Autom., 2017)

Introduction to Nonnegative Matrix Factorization. - Nicolas Gillis (CoRR, 2017)

Low-Rank Matrix Approximation in the Infinity Norm. - Nicolas Gillis; Yaroslav Shitov 001 (CoRR, 2017)

Solving the Maximum Clique Problem with Symmetric Rank-One Non-negative Matrix Approximation. - Melisew Tefera Belachew; Nicolas Gillis (J. Optim. Theory Appl., 2017)

Sequential dimensionality reduction for extracting localized features. - Gabriella Casalino; Nicolas Gillis (Pattern Recognit., 2017)

Volume regularized non-negative matrix factorizations. - Andersen Man Shun Ang; Nicolas Gillis (WHISPERS, 2018)

Algorithms for positive semidefinite factorization. - Arnaud Vandaele; François Glineur; Nicolas Gillis (Comput. Optim. Appl., 2018)

Identifiability of Low-Rank Sparse Component Analysis. - Jérémy E. Cohen; Nicolas Gillis (CoRR, 2018)

UTA-poly and UTA-splines: Additive value functions with polynomial marginals. - Olivier Sobrie; Nicolas Gillis; Vincent Mousseau; Marc Pirlot (Eur. J. Oper. Res., 2018)

Multiplicative updates for polynomial root finding. - Nicolas Gillis (Inf. Process. Lett., 2018)

Spectral Unmixing With Multiple Dictionaries. - Jeremy E. Cohen; Nicolas Gillis (IEEE Geosci. Remote. Sens. Lett., 2018)

On the Complexity of Robust PCA and ℓ1-Norm Low-Rank Matrix Approximation. - Nicolas Gillis; Stephen A. Vavasis (Math. Oper. Res., 2018)

Computing the nearest stable matrix pairs. - Nicolas Gillis; Volker Mehrmann; Punit Sharma (Numer. Linear Algebra Appl., 2018)

Finding the Nearest Positive-Real System. - Nicolas Gillis; Punit Sharma (SIAM J. Numer. Anal., 2018)

A Fast Gradient Method for Nonnegative Sparse Regression With Self-Dictionary. - Nicolas Gillis; Robert Luce (IEEE Trans. Image Process., 2018)

Dictionary-Based Tensor Canonical Polyadic Decomposition. - Jeremy Emile Cohen; Nicolas Gillis (IEEE Trans. Signal Process., 2018)

Successive Projection Algorithm Robust to Outliers. - Nicolas Gillis (CAMSAP, 2019)

Nonnegative Low-rank Sparse Component Analysis. - Jeremy E. Cohen; Nicolas Gillis (ICASSP, 2019)

Separable Simplex-structured Matrix Factorization: Robustness of Combinatorial Approaches. - Nicolas Gillis (ICASSP, 2019)

Minimum-volume Rank-deficient Nonnegative Matrix Factorizations. - Valentin Leplat; Andersen Man Shun Ang; Nicolas Gillis (ICASSP, 2019)

Algorithms and Comparisons of Non-negative Matrix Factorization with Volume Regularization for Hyperspectral Unmixing. - Andersen Man Shun Ang; Nicolas Gillis (CoRR, 2019)

Minimal-norm static feedbacks using dissipative Hamiltonian matrices. - Nicolas Gillis; Punit Sharma (CoRR, 2019)

Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization. - Masoud Ahookhosh; Le Thi Khanh Hien; Nicolas Gillis; Panagiotis Patrinos (CoRR, 2019)

Grouped sparse projection. - Nicolas Gillis; Riyasat Ohib; Sergey M. Plis; Vamsi K. Potluru (CoRR, 2019)

Accelerating Nonnegative Matrix Factorization Algorithms Using Extrapolation. - Andersen Man Shun Ang; Nicolas Gillis (Neural Comput., 2019)

Improved SVD-based initialization for nonnegative matrix factorization using low-rank correction. - Syed Muhammad Atif; Sameer Qazi; Nicolas Gillis (Pattern Recognit. Lett., 2019)

Scalable and robust sparse subspace clustering using randomized clustering and multilayer graphs. - Maryam Abdolali; Nicolas Gillis; Mohammad Rahmati (Signal Process., 2019)

Identifiability of Complete Dictionary Learning. - Jeremy E. Cohen; Nicolas Gillis (SIAM J. Math. Data Sci., 2019)

Algorithms and Comparisons of Nonnegative Matrix Factorizations With Volume Regularization for Hyperspectral Unmixing. - Andersen Man Shun Ang; Nicolas Gillis (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures. - Christophe Kervazo; Nicolas Gillis; Nicolas Dobigeon (EUSIPCO, 2020)

Hyperspectral Unmixing with Rare Endmembers via Minimax Nonnegative Matrix Factorization. - Timothy Marrinan; Nicolas Gillis (EUSIPCO, 2020)

Extrapolated Alternating Algorithms for Approximate Canonical Polyadic Decomposition. - Andersen Man Shun Ang; Jeremy E. Cohen; Le Thi Khanh Hien; Nicolas Gillis (ICASSP, 2020)

Exact Sparse Nonnegative Least Squares. - Nicolas Nadisic; Arnaud Vandaele; Nicolas Gillis; Jeremy E. Cohen (ICASSP, 2020)

Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization. - Hien Le; Nicolas Gillis; Panagiotis Patrinos (ICML, 2020)

Sparse Separable Nonnegative Matrix Factorization. - Nicolas Nadisic; Arnaud Vandaele; Jeremy E. Cohen; Nicolas Gillis (ECML/PKDD (1), 2020)

Optimizing over the properly efficient set of convex multi-objective optimization problems. - Kahina Ghazli; Nicolas Gillis; Mustapha Moulaï (Ann. Oper. Res., 2020)

A block inertial Bregman proximal algorithm for nonsmooth nonconvex problems. - Masoud Ahookhosh; Nicolas Gillis; Panagiotis Patrinos (CoRR, 2020)

On a minimum enclosing ball of a collection of linear subspaces. - Timothy Marrinan; Pierre-Antoine Absil; Nicolas Gillis (CoRR, 2020)

Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors. - Xiao Fu 001; Nico Vervliet; Lieven De Lathauwer; Kejun Huang; Nicolas Gillis (CoRR, 2020)

Deep matrix factorizations. - Pierre De Handschutter; Nicolas Gillis; Xavier Siebert (CoRR, 2020)

A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares. - Nicolas Nadisic; Arnaud Vandaele; Nicolas Gillis (CoRR, 2020)

On approximating the nearest Ω-stable matrix. - Neelam Choudhary; Nicolas Gillis; Punit Sharma (Numer. Linear Algebra Appl., 2020)

Near-Convex Archetypal Analysis. - Pierre De Handschutter; Nicolas Gillis; Arnaud Vandaele; Xavier Siebert (IEEE Signal Process. Lett., 2020)

Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective. - Xiao Fu 001; Nico Vervliet; Lieven De Lathauwer; Kejun Huang; Nicolas Gillis (IEEE Signal Process. Mag., 2020)

A Provably Correct and Robust Algorithm for Convolutive Nonnegative Matrix Factorization. - Anthony Degleris; Nicolas Gillis (IEEE Trans. Signal Process., 2020)

Blind Audio Source Separation With Minimum-Volume Beta-Divergence NMF. - Valentin Leplat; Nicolas Gillis; Andersen Man Shun Ang (IEEE Trans. Signal Process., 2020)

Fast algorithm for complex-NMF with application to source separation. - Andersen Ang; Valentin Leplat; Nicolas Gillis (EUSIPCO, 2021)

Deep orthogonal matrix factorization as a hierarchical clustering technique. - Pierre De Handschutter; Nicolas Gillis (EUSIPCO, 2021)

Exact Biobjective k-Sparse Nonnegative Least Squares. - Nicolas Nadisic; Arnaud Vandaele; Nicolas Gillis; Jeremy E. Cohen (EUSIPCO, 2021)

Inertial Majorization-Minimization Algorithm for Minimum-Volume NMF. - Olivier Vu Thanh; Andersen Man Shun Ang; Nicolas Gillis; Le Thi Khanh Hien (EUSIPCO, 2021)

Nonnegative Unimodal Matrix Factorization. - Andersen Man Shun Ang; Nicolas Gillis; Arnaud Vandaele; Hans De Sterck (ICASSP, 2021)

Structured nonnegative matrix factorization for traffic flow estimation of large cloud networks. - Syed Muhammad Atif; Nicolas Gillis; Sameer Qazi; Imran Naseem (Comput. Networks, 2021)

Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization. - Masoud Ahookhosh; Le Thi Khanh Hien; Nicolas Gillis; Panagiotis Patrinos (Comput. Optim. Appl., 2021)

A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization. - Le Thi Khanh Hien; Duy Nhat Phan; Nicolas Gillis (CoRR, 2021)

Block Alternating Bregman Majorization Minimization with Extrapolation. - Le Thi Khanh Hien; Duy Nhat Phan; Nicolas Gillis; Masoud Ahookhosh; Panagiotis Patrinos (CoRR, 2021)

Smoothed Separable Nonnegative Matrix Factorization. - Nicolas Nadisic; Nicolas Gillis; Christophe Kervazo (CoRR, 2021)

Beyond linear subspace clustering: A comparative study of nonlinear manifold clustering algorithms. - Maryam Abdolali; Nicolas Gillis (Comput. Sci. Rev., 2021)

A survey on deep matrix factorizations. - Pierre De Handschutter; Nicolas Gillis; Xavier Siebert (Comput. Sci. Rev., 2021)

A geometric lower bound on the extension complexity of polytopes based on the f-vector. - Julien Dewez; Nicolas Gillis; François Glineur (Discret. Appl. Math., 2021)

A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization. - Masoud Ahookhosh; Le Thi Khanh Hien; Nicolas Gillis; Panagiotis Patrinos (J. Optim. Theory Appl., 2021)

Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence. - Le Thi Khanh Hien; Nicolas Gillis (J. Sci. Comput., 2021)

Off-diagonal symmetric nonnegative matrix factorization. - François Moutier; Arnaud Vandaele; Nicolas Gillis (Numer. Algorithms, 2021)

Accelerating block coordinate descent for nonnegative tensor factorization. - Andersen Man Shun Ang; Jeremy E. Cohen; Nicolas Gillis; Le Thi Khanh Hien (Numer. Linear Algebra Appl., 2021)

Characterization of the dissipative mappings and their application to perturbations of dissipative-Hamiltonian systems. - Mohit Kumar Baghel; Nicolas Gillis; Punit Sharma (Numer. Linear Algebra Appl., 2021)

Generalized Separable Nonnegative Matrix Factorization. - Junjun Pan; Nicolas Gillis (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures. - Christophe Kervazo; Nicolas Gillis; Nicolas Dobigeon (SIAM J. Imaging Sci., 2021)

Multiplicative Updates for NMF with β-Divergences under Disjoint Equality Constraints. - Valentin Leplat; Nicolas Gillis; Jérôme Idier (SIAM J. Matrix Anal. Appl., 2021)

Simplex-Structured Matrix Factorization: Sparsity-Based Identifiability and Provably Correct Algorithms. - Maryam Abdolali; Nicolas Gillis (SIAM J. Math. Data Sci., 2021)

Subspace Clustering Using Unsupervised Data Augmentation. - Maryam Abdolali; Nicolas Gillis (ICASSP, 2022)

Bounded Simplex-Structured Matrix Factorization. - Olivier Vu Thanh; Nicolas Gillis; Fabian Lecron (ICASSP, 2022)

Inertial alternating direction method of multipliers for non-convex non-smooth optimization. - Le Thi Khanh Hien; Duy Nhat Phan; Nicolas Gillis (Comput. Optim. Appl., 2022)

Solving matrix nearness problems via Hamiltonian systems, matrix factorization, and optimization. - Nicolas Gillis; Punit Sharma (CoRR, 2022)

Characterizing matrices with eigenvalues in an LMI region: A dissipative-Hamiltonian approach. - Neelam Choudhary; Nicolas Gillis; Punit Sharma (CoRR, 2022)

Revisiting data augmentation for subspace clustering. - Maryam Abdolali; Nicolas Gillis (Knowl. Based Syst., 2022)

Matrix-wise ℓ 0-constrained sparse nonnegative least squares. - Nicolas Nadisic; Jeremy E. Cohen; Arnaud Vandaele; Nicolas Gillis (Mach. Learn., 2022)

Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization. - Nicolas Gillis; Le Thi Khanh Hien; Valentin Leplat; Vincent Y. F. Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Multi-resolution beta-divergence NMF for blind spectral unmixing. - Valentin Leplat; Nicolas Gillis; Cédric Févotte (Signal Process., 2022)

Block Bregman Majorization Minimization with Extrapolation. - Le Thi Khanh Hien; Duy Nhat Phan; Nicolas Gillis; Masoud Ahookhosh; Panagiotis Patrinos (SIAM J. Math. Data Sci., 2022)

Explicit Group Sparse Projection with Applications to Deep Learning and NMF. - Riyasat Ohib; Nicolas Gillis; Niccolò Dalmasso; Sameena Shah; Vamsi K. Potluru; Sergey M. Plis (Trans. Mach. Learn. Res., 2022)

Exact and Heuristic Methods for Simultaneous Sparse Coding. - Alexandra Dache; Arnaud Vandaele; Nicolas Gillis; Nicolas Nadisic (EUSIPCO, 2023)

Deep Symmetric Matrix Factorization. - Pierre De Handschutter; Nicolas Gillis; Wivine Blekic (EUSIPCO, 2023)

Identifiability of Polytopic Matrix Factorization. - Olivier Vu Thanh; Nicolas Gillis (EUSIPCO, 2023)

Robust Binary Component Decompositions. - Christos Kolomvakis; Nicolas Gillis (ICASSP, 2023)

Algorithms for Boolean Matrix Factorization using Integer Programming. - Christos Kolomvakis; Arnaud Vandaele; Nicolas Gillis (MLSP, 2023)

Accelerated Algorithms For Nonlinear Matrix Decomposition With The Relu Function. - Giovanni Seraghiti; Atharva Awari; Arnaud Vandaele; Margherita Porcelli; Nicolas Gillis (MLSP, 2023)

An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization. - Le Thi Khanh Hien; Duy Nhat Phan; Nicolas Gillis (J. Mach. Learn. Res., 2023)

A consistent and flexible framework for deep matrix factorizations. - Pierre De Handschutter; Nicolas Gillis (Pattern Recognit., 2023)

Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions. - Cécile Hautecoeur; Lieven De Lathauwer; Nicolas Gillis; François Glineur (IEEE Trans. Signal Process., 2023)

Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications. - Olivier Vu Thanh; Nicolas Gillis; Fabian Lecron (IEEE Trans. Signal Process., 2023)

Partial Identifiability for Nonnegative Matrix Factorization. - Nicolas Gillis; Róbert Rajkó (SIAM J. Matrix Anal. Appl., 2023)

Conic optimization-based algorithms for nonnegative matrix factorization. - Valentin Leplat; Yurii E. Nesterov; Nicolas Gillis; François Glineur (Optim. Methods Softw., 2023)

Coordinate Descent Algorithm for Nonlinear Matrix Decomposition with the ReLU Function. - Atharva Awari; Harrison Nguyen; Samuel Wertz; Arnaud Vandaele; Nicolas Gillis (EUSIPCO, 2024)

Minimum-Volume Nonnegative Matrix Completion. - Olivier Vu Thanh; Nicolas Gillis (EUSIPCO, 2024)

Subtractive Mixture Models via Squaring: Representation and Learning. - Lorenzo Loconte; Aleksanteri M. Sladek; Stefan Mengel; Martin Trapp 001; Arno Solin; Nicolas Gillis; Antonio Vergari (ICLR, 2024)

Orthogonal Symmetric Nonnegative Matrix Tri-Factorization. - Alexandra Dache; Arnaud Vandaele; Nicolas Gillis (MLSP, 2024)

Component-Wise Squared Factorization. - Joakim Lefebvre; Arnaud Vandaele; Nicolas Gillis (MLSP, 2024)

Block Majorization Minimization with Extrapolation and Application to β-NMF. - Le Thi Khanh Hien; Valentin Leplat; Nicolas Gillis (CoRR, 2024)

Minimum-norm solutions of the non-symmetric semidefinite Procrustes problem. - Nicolas Gillis; Stefano Sicilia (CoRR, 2024)

Orthogonal Nonnegative Matrix Factorization with the Kullback-Leibler divergence. - Jean Pacifique Nkurunziza; Fulgence Nahayo; Nicolas Gillis (CoRR, 2024)

On the Robustness of the Successive Projection Algorithm. - Giovanni Barbarino; Nicolas Gillis (CoRR, 2024)

Deep Nonnegative Matrix Factorization With Beta Divergences. - Valentin Leplat; Le Thi Khanh Hien; Akwum Onwunta; Nicolas Gillis (Neural Comput., 2024)

Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization. - Maryam Abdolali; Giovanni Barbarino; Nicolas Gillis (SIAM J. Imaging Sci., 2024)

Assigning Stationary Distributions to Sparse Stochastic Matrices. - Nicolas Gillis; Paul Van Dooren (SIAM J. Matrix Anal. Appl., 2024)

Checking the Sufficiently Scattered Condition Using a Global Non-Convex Optimization Software. - Nicolas Gillis; Robert Luce (IEEE Signal Process. Lett., 2024)

Accelerated SVD-based initialization for nonnegative matrix factorization. - Flavia Esposito; Syed Muhammad Atif; Nicolas Gillis (Comput. Appl. Math., 2024)

Boolean Matrix Tri-Factorization. - Christos Kolomvakis; Arnaud Vandaele; Nicolas Gillis (ICASSP, 2025)

Finding the nearest bounded-real port-Hamiltonian system. - Karim Cherifi; Nicolas Gillis; Punit Sharma (CoRR, 2025)

An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU function. - Nicolas Gillis; Margherita Porcelli; Giovanni Seraghiti (CoRR, 2025)

Computing cone-constrained singular values of matrices. - Giovanni Barbarino; Nicolas Gillis; David Sossa (CoRR, 2025)

Efficient algorithms for the Hadamard decomposition. - Samuel Wertz; Arnaud Vandaele; Nicolas Gillis (CoRR, 2025)

Identifiability of Nonnegative Tucker Decompositions - Part I: Theory. - Subhayan Saha; Giovanni Barbarino; Nicolas Gillis (CoRR, 2025)

Instance-wise distributionally robust nonnegative matrix factorization. - Wafa Barkhoda; Seyed Amjad Seyedi; Nicolas Gillis; Fardin Akhlaghian Tab (Pattern Recognit., 2026)