Nicolas Gillis
Orcid: 0000-0001-6423-6897
According to our database1,
Nicolas Gillis
authored at least 127 papers
between 2009 and 2024.
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Bibliography
2024
CoRR, 2024
Checking the Sufficiently Scattered Condition using a Global Non-Convex Optimization Software.
CoRR, 2024
CoRR, 2024
2023
Optim. Methods Softw., July, 2023
SIAM J. Matrix Anal. Appl., March, 2023
Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications.
IEEE Trans. Signal Process., 2023
IEEE Trans. Signal Process., 2023
Pattern Recognit., 2023
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization.
J. Mach. Learn. Res., 2023
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
2022
Trans. Mach. Learn. Res., 2022
SIAM J. Math. Data Sci., 2022
Signal Process., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Mach. Learn., 2022
Characterizing matrices with eigenvalues in an LMI region: A dissipative-Hamiltonian approach.
CoRR, 2022
Solving matrix nearness problems via Hamiltonian systems, matrix factorization, and optimization.
CoRR, 2022
Inertial alternating direction method of multipliers for non-convex non-smooth optimization.
Comput. Optim. Appl., 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Simplex-Structured Matrix Factorization: Sparsity-Based Identifiability and Provably Correct Algorithms.
SIAM J. Math. Data Sci., 2021
Multiplicative Updates for NMF with β-Divergences under Disjoint Equality Constraints.
SIAM J. Matrix Anal. Appl., 2021
SIAM J. Imaging Sci., 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Characterization of the dissipative mappings and their application to perturbations of dissipative-Hamiltonian systems.
Numer. Linear Algebra Appl., 2021
Numer. Linear Algebra Appl., 2021
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence.
J. Sci. Comput., 2021
A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization.
J. Optim. Theory Appl., 2021
A geometric lower bound on the extension complexity of polytopes based on the f-vector.
Discret. Appl. Math., 2021
Beyond linear subspace clustering: A comparative study of nonlinear manifold clustering algorithms.
Comput. Sci. Rev., 2021
A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization.
CoRR, 2021
Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization.
Comput. Optim. Appl., 2021
Structured nonnegative matrix factorization for traffic flow estimation of large cloud networks.
Comput. Networks, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
2020
IEEE Trans. Signal Process., 2020
A Provably Correct and Robust Algorithm for Convolutive Nonnegative Matrix Factorization.
IEEE Trans. Signal Process., 2020
Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective.
IEEE Signal Process. Mag., 2020
A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares.
CoRR, 2020
Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors.
CoRR, 2020
CoRR, 2020
Optimizing over the properly efficient set of convex multi-objective optimization problems.
Ann. Oper. Res., 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Extrapolated Alternating Algorithms for Approximate Canonical Polyadic Decomposition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Hyperspectral Unmixing with Rare Endmembers via Minimax Nonnegative Matrix Factorization.
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
2019
Algorithms and Comparisons of Nonnegative Matrix Factorizations With Volume Regularization for Hyperspectral Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Scalable and robust sparse subspace clustering using randomized clustering and multilayer graphs.
Signal Process., 2019
Improved SVD-based initialization for nonnegative matrix factorization using low-rank correction.
Pattern Recognit. Lett., 2019
Neural Comput., 2019
Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization.
CoRR, 2019
Algorithms and Comparisons of Non-negative Matrix Factorization with Volume Regularization for Hyperspectral Unmixing.
CoRR, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Separable Simplex-structured Matrix Factorization: Robustness of Combinatorial Approaches.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
2018
IEEE Trans. Signal Process., 2018
IEEE Trans. Image Process., 2018
Math. Oper. Res., 2018
Eur. J. Oper. Res., 2018
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
2017
Pattern Recognit., 2017
Solving the Maximum Clique Problem with Symmetric Rank-One Non-negative Matrix Approximation.
J. Optim. Theory Appl., 2017
On computing the distance to stability for matrices using linear dissipative Hamiltonian systems.
Autom., 2017
Proceedings of the Latent Variable Analysis and Signal Separation, 2017
Proceedings of the 25th European Signal Processing Conference, 2017
2016
Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization.
IEEE Trans. Signal Process., 2016
2015
Hierarchical Clustering of Hyperspectral Images Using Rank-Two Nonnegative Matrix Factorization.
IEEE Trans. Geosci. Remote. Sens., 2015
SIAM J. Matrix Anal. Appl., 2015
Semidefinite Programming Based Preconditioning for More Robust Near-Separable Nonnegative Matrix Factorization.
SIAM J. Optim., 2015
SIAM J. Imaging Sci., 2015
CoRR, 2015
On the Complexity of Robust PCA and ℓ<sub>1</sub>-norm Low-Rank Matrix Approximation.
CoRR, 2015
2014
A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing.
IEEE Signal Process. Mag., 2014
Successive Nonnegative Projection Algorithm for Robust Nonnegative Blind Source Separation.
SIAM J. Imaging Sci., 2014
IEEE Trans. Pattern Anal. Mach. Intell., 2014
J. Mach. Learn. Res., 2014
J. Glob. Optim., 2014
Two algorithms for orthogonal nonnegative matrix factorization with application to clustering.
Neurocomputing, 2014
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR, 2014
2013
Robustness Analysis of Hottopixx, a Linear Programming Model for Factoring Nonnegative Matrices.
SIAM J. Matrix Anal. Appl., 2013
ONP-MF: An Orthogonal Nonnegative Matrix Factorization Algorithm with Application to Clustering.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
2012
Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization.
Neural Comput., 2012
J. Mach. Learn. Res., 2012
J. Comput. Appl. Math., 2012
Robustness Analysis of HottTopixx, a Linear Programming Model for Factoring Nonnegative Matrices
CoRR, 2012
CoRR, 2012
2011
SIAM J. Matrix Anal. Appl., 2011
Sparse nonnegative matrix underapproximation and its application to hyperspectral image analysis.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
2010
Pattern Recognit., 2010
2009
Document Classification using Nonnegative Matrix Factorization and Underapproximation.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009