Nicolas Gillis

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 133

Top Venues

CoRR

EUSIPCO

ICASSP

IEEE Trans. Signal Process.

Publications

Nicolas Gillis, Robert Luce
Checking the Sufficiently Scattered Condition using a Global Non-Convex Optimization Software. CoRR (2024)
Nicolas Gillis, Robert Luce
Checking the Sufficiently Scattered Condition Using a Global Non-Convex Optimization Software. IEEE Signal Process. Lett. 31 (2024)
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)
Maryam Abdolali, Giovanni Barbarino, Nicolas Gillis
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization. CoRR (2024)
Le Thi Khanh Hien, Valentin Leplat, Nicolas Gillis
Block Majorization Minimization with Extrapolation and Application to β-NMF. CoRR (2024)
Nicolas Gillis, Stefano Sicilia
Minimum-norm solutions of the non-symmetric semidefinite Procrustes problem. CoRR (2024)
Alexandra Dache, Arnaud Vandaele, Nicolas Gillis, Nicolas Nadisic
Exact and Heuristic Methods for Simultaneous Sparse Coding. EUSIPCO (2023)
Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari
Subtractive Mixture Models via Squaring: Representation and Learning. CoRR (2023)
Olivier Vu Thanh, Nicolas Gillis
Identifiability of Polytopic Matrix Factorization. EUSIPCO (2023)
Nicolas Gillis, Róbert Rajkó
Partial Identifiability for Nonnegative Matrix Factorization. SIAM J. Matrix Anal. Appl. 44 (1) (2023)
Christos Kolomvakis, Arnaud Vandaele, Nicolas Gillis
Algorithms for Boolean Matrix Factorization using Integer Programming. CoRR (2023)
Olivier Vu Thanh, Nicolas Gillis, Fabian Lecron
Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications. IEEE Trans. Signal Process. 71 (2023)
Giovanni Seraghiti, Atharva Awari, Arnaud Vandaele, Margherita Porcelli, Nicolas Gillis
Accelerated Algorithms for Nonlinear Matrix Decomposition with the ReLU function. CoRR (2023)
Nicolas Gillis, Paul Van Dooren
Assigning Stationary Distributions to Sparse Stochastic Matrices. CoRR (2023)
Christos Kolomvakis, Nicolas Gillis
Robust Binary Component Decompositions. ICASSP (2023)
Pierre De Handschutter, Nicolas Gillis, Wivine Blekic
Deep Symmetric Matrix Factorization. EUSIPCO (2023)
Pierre De Handschutter, Nicolas Gillis
A consistent and flexible framework for deep matrix factorizations. Pattern Recognit. 134 (2023)
Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization. J. Mach. Learn. Res. 24 (2023)
Christos Kolomvakis, Arnaud Vandaele, Nicolas Gillis
Algorithms for Boolean Matrix Factorization using Integer Programming. MLSP (2023)
Valentin Leplat, Le Thi Khanh Hien, Akwum Onwunta, Nicolas Gillis
Deep Nonnegative Matrix Factorization with Beta Divergences. CoRR (2023)
Giovanni Seraghiti, Atharva Awari, Arnaud Vandaele, Margherita Porcelli, Nicolas Gillis
Accelerated Algorithms For Nonlinear Matrix Decomposition With The Relu Function. MLSP (2023)
Cécile Hautecoeur, Lieven De Lathauwer, Nicolas Gillis, François Glineur
Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions. IEEE Trans. Signal Process. 71 (2023)
Valentin Leplat, Yurii E. Nesterov, Nicolas Gillis, François Glineur
Conic optimization-based algorithms for nonnegative matrix factorization. Optim. Methods Softw. 38 (4) (2023)
Nicolas Gillis, Punit Sharma
Solving matrix nearness problems via Hamiltonian systems, matrix factorization, and optimization. CoRR (2022)
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) (2022)
Cécile Hautecoeur, Lieven De Lathauwer, Nicolas Gillis, François Glineur
Least-squares methods for nonnegative matrix factorization over rational functions. CoRR (2022)
Olivier Vu Thanh, Nicolas Gillis, Fabian Lecron
Bounded Simplex-Structured Matrix Factorization. CoRR (2022)
Valentin Leplat, Nicolas Gillis, Cédric Févotte
Multi-resolution beta-divergence NMF for blind spectral unmixing. Signal Process. 193 (2022)
Pierre De Handschutter, Nicolas Gillis
A consistent and flexible framework for deep matrix factorizations. CoRR (2022)
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) (2022)
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)
Nicolas Gillis, Róbert Rajkó
Partial Identifiability for Nonnegative Matrix Factorization. CoRR (2022)
Maryam Abdolali, Nicolas Gillis
Subspace Clustering Using Unsupervised Data Augmentation. ICASSP (2022)
Maryam Abdolali, Nicolas Gillis
Revisiting data augmentation for subspace clustering. CoRR (2022)
Olivier Vu Thanh, Nicolas Gillis, Fabian Lecron
Bounded Simplex-Structured Matrix Factorization. ICASSP (2022)
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) (2022)
Nicolas Nadisic, Jeremy E. Cohen, Arnaud Vandaele, Nicolas Gillis
-constrained sparse nonnegative least squares. Mach. Learn. 111 (12) (2022)
Maryam Abdolali, Nicolas Gillis
Revisiting data augmentation for subspace clustering. Knowl. Based Syst. 258 (2022)
Neelam Choudhary, Nicolas Gillis, Punit Sharma
Characterizing matrices with eigenvalues in an LMI region: A dissipative-Hamiltonian approach. CoRR (2022)
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)
Maryam Abdolali, Nicolas Gillis
Simplex-Structured Matrix Factorization: Sparsity-Based Identifiability and Provably Correct Algorithms. SIAM J. Math. Data Sci. 3 (2) (2021)
Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon
Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures. SIAM J. Imaging Sci. 14 (4) (2021)
Olivier Vu Thanh, Andersen Man Shun Ang, Nicolas Gillis, Le Thi Khanh Hien
Inertial Majorization-Minimization Algorithm for Minimum-Volume NMF. EUSIPCO (2021)
Pierre De Handschutter, Nicolas Gillis
Deep orthogonal matrix factorization as a hierarchical clustering technique. EUSIPCO (2021)
François Moutier, Arnaud Vandaele, Nicolas Gillis
Off-diagonal symmetric nonnegative matrix factorization. Numer. Algorithms 88 (2) (2021)
Maryam Abdolali, Nicolas Gillis
Beyond Linear Subspace Clustering: A Comparative Study of Nonlinear Manifold Clustering Algorithms. CoRR (2021)
Junjun Pan, Nicolas Gillis
Generalized Separable Nonnegative Matrix Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 43 (5) (2021)
Syed Muhammad Atif, Nicolas Gillis, Sameer Qazi, Imran Naseem
Structured Nonnegative Matrix Factorization for Traffic Flow Estimation of Large Cloud Networks. CoRR (2021)
Andersen Man Shun Ang, Nicolas Gillis, Arnaud Vandaele, Hans De Sterck
Nonnegative Unimodal Matrix Factorization. ICASSP (2021)
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) (2021)
Pierre De Handschutter, Nicolas Gillis, Xavier Siebert
A survey on deep matrix factorizations. Comput. Sci. Rev. 42 (2021)
Maryam Abdolali, Nicolas Gillis
Beyond linear subspace clustering: A comparative study of nonlinear manifold clustering algorithms. Comput. Sci. Rev. 42 (2021)
Syed Muhammad Atif, Nicolas Gillis, Sameer Qazi, Imran Naseem
Structured nonnegative matrix factorization for traffic flow estimation of large cloud networks. Comput. Networks 201 (2021)
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 (2021)
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) (2021)
Andersen Ang, Valentin Leplat, Nicolas Gillis
Fast algorithm for complex-NMF with application to source separation. EUSIPCO (2021)
Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos
Block Alternating Bregman Majorization Minimization with Extrapolation. CoRR (2021)
Le Thi Khanh Hien, Nicolas Gillis
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence. J. Sci. Comput. 87 (3) (2021)
Valentin Leplat, Nicolas Gillis, Jérôme Idier
Multiplicative Updates for NMF with β-Divergences under Disjoint Equality Constraints. SIAM J. Matrix Anal. Appl. 42 (2) (2021)
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 (2021)
Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis, Jeremy E. Cohen
Exact Biobjective k-Sparse Nonnegative Least Squares. EUSIPCO (2021)
Nicolas Nadisic, Nicolas Gillis, Christophe Kervazo
Smoothed Separable Nonnegative Matrix Factorization. CoRR (2021)
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)
Hien Le, Nicolas Gillis, Panagiotis Patrinos
Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization. ICML (2020)
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) (2020)
Masoud Ahookhosh, Nicolas Gillis, Panagiotis Patrinos
A block inertial Bregman proximal algorithm for nonsmooth nonconvex problems. CoRR (2020)
Pierre De Handschutter, Nicolas Gillis, Arnaud Vandaele, Xavier Siebert
Near-Convex Archetypal Analysis. IEEE Signal Process. Lett. 27 (2020)
Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization. CoRR (2020)
Le Thi Khanh Hien, Nicolas Gillis
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence. CoRR (2020)
Nicolas Nadisic, Arnaud Vandaele, Jérémy E. Cohen, Nicolas Gillis
Sparse Separable Nonnegative Matrix Factorization. CoRR (2020)
Pierre De Handschutter, Nicolas Gillis, Xavier Siebert
Deep matrix factorizations. CoRR (2020)
Valentin Leplat, Nicolas Gillis, Andersen Man Shun Ang
Blind Audio Source Separation With Minimum-Volume Beta-Divergence NMF. IEEE Trans. Signal Process. 68 (2020)
Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis
A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares. CoRR (2020)
Valentin Leplat, Nicolas Gillis, Cédric Févotte
Multi-Resolution Beta-Divergence NMF for Blind Spectral Unmixing. CoRR (2020)
Valentin Leplat, Nicolas Gillis, Jérôme Idier
Multiplicative Updates for NMF with β-Divergences under Disjoint Equality Constraints. CoRR (2020)
Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis, Jeremy E. Cohen
Exact Sparse Nonnegative Least Squares. ICASSP (2020)
Kahina Ghazli, Nicolas Gillis, Mustapha Moulaï
Optimizing over the properly efficient set of convex multi-objective optimization problems. Ann. Oper. Res. 295 (2) (2020)
Timothy Marrinan, Nicolas Gillis
Hyperspectral Unmixing with Rare Endmembers via Minimax Nonnegative Matrix Factorization. EUSIPCO (2020)
Neelam Choudhary, Nicolas Gillis, Punit Sharma
On approximating the nearest Ω-stable matrix. Numer. Linear Algebra Appl. 27 (3) (2020)
Timothy Marrinan, Pierre-Antoine Absil, Nicolas Gillis
On a minimum enclosing ball of a collection of linear subspaces. CoRR (2020)
Andersen Man Shun Ang, Jeremy E. Cohen, Nicolas Gillis, Le Thi Khanh Hien
Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization. CoRR (2020)
Nicolas Nadisic, Arnaud Vandaele, Jeremy E. Cohen, Nicolas Gillis
Sparse Separable Nonnegative Matrix Factorization. ECML/PKDD (1) (2020)
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 (2020)
Anthony Degleris, Nicolas Gillis
A Provably Correct and Robust Algorithm for Convolutive Nonnegative Matrix Factorization. IEEE Trans. Signal Process. 68 (2020)
Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon
Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures. EUSIPCO (2020)
Maryam Abdolali, Nicolas Gillis
Simplex-Structured Matrix Factorization: Sparsity-based Identifiability and Provably Correct Algorithms. CoRR (2020)
Andersen Man Shun Ang, Jeremy E. Cohen, Le Thi Khanh Hien, Nicolas Gillis
Extrapolated Alternating Algorithms for Approximate Canonical Polyadic Decomposition. ICASSP (2020)
Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon
Provably robust blind source separation of linear-quadratic near-separable mixtures. CoRR (2020)
François Moutier, Arnaud Vandaele, Nicolas Gillis
Off-diagonal Symmetric Nonnegative Matrix Factorization. CoRR (2020)
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 (2019)
Nicolas Gillis, Punit Sharma
Minimal-norm static feedbacks using dissipative Hamiltonian matrices. CoRR (2019)
Nicolas Gillis
Successive Projection Algorithm Robust to Outliers. CAMSAP (2019)
Nicolas Gillis
Separable Simplex-structured Matrix Factorization: Robustness of Combinatorial Approaches. ICASSP (2019)
Nicolas Gillis
Successive Projection Algorithm Robust to Outliers. CoRR (2019)
Jeremy E. Cohen, Nicolas Gillis
Identifiability of Complete Dictionary Learning. SIAM J. Math. Data Sci. 1 (3) (2019)
Nicolas Gillis, Le Thi Khanh Hien, Valentin Leplat, Vincent Y. F. Tan
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization. CoRR (2019)
Junjun Pan, Nicolas Gillis
Generalized Separable Nonnegative Matrix Factorization. CoRR (2019)
Anthony Degleris, Nicolas Gillis
A Provably Correct and Robust Algorithm for Convolutive Nonnegative Matrix Factorization. CoRR (2019)
Pierre De Handschutter, Nicolas Gillis, Arnaud Vandaele, Xavier Siebert
Near-Convex Archetypal Analysis. CoRR (2019)
Jeremy E. Cohen, Nicolas Gillis
Nonnegative Low-rank Sparse Component Analysis. ICASSP (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicolas Gillis