See Google scholar, Scopus, arXiv, ORCID, and the UMONS website with the PDFs.
M. Manderlier, F. Lecron , O. Vu Thanh and Nicolas Gillis, "From latent factors to language: a user study on LLM-generated explanations for an inherently interpretable matrix-based recommender system", IntRS’25: Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, September 22, 2025, Prague . [pdf]
S. Wertz, A. Vandaele, and N. Gillis, "Efficient algorithms for the Hadamard decomposition", MLSP 2025, August 31-September 3, Istanbul, Turkey . [arXiv] [code] [doi]
H. Nguyen, A. Awari, A. Vandaele, and N. Gillis, "Nonlinear Matrix Decomposition with the Sigmoid Function", MLSP 2025, August 31-September 3, Istanbul, Turkey . [pdf] [code] [doi]
C. Kolomvakis, A. Vandaele and N. Gillis, "Boolean Matrix Tri-Factorization", ICASSP 2025, 6-11 April 2025, Hyderabad, India. [doi]
A. Dache, A. Vandaele, N. Gillis, "Orthogonal Symmetric Nonnegative Matrix Tri-Factorization", MLSP 2024, 22-25 September 2024, London. [pdf] [code]
J. Lefebvre, A. Vandaele, N. Gillis, "Component-wise Squared Factorization", MLSP 2024, 22-25 September 2024, London. [pdf] [code]
A. Awari, H. Nguyen, S. Wertz, A. Vandaele, and N. Gillis, "Coordinate Descent Algorithm for Nonlinear Matrix Decomposition with the ReLU function", EUSIPCO 2024, 26-30 August2024, Lyon. [pdf] [code]
O. Vu Thanh and N. Gillis, "Minimum-Volume Nonnegative Matrix Completion", EUSIPCO 2024, 26-30 August2024, Lyon. [pdf] [code]
L. Loconte, A.M. Sladek, S. Mengel, M. Trapp, A. Solin, N. Gillis and A. Vergari, "Subtractive Mixture Models via Squaring: Representation and Learning", ICLR 2024, Spotlight presentation (top 5%). [arXiv] [video] [code] [OpenReview]
H. Daglayan, S. Vary, V. Leplat, N. Gillis and P.-A. Absil, "Direct Exoplanet Detection Using L1 Norm Low-Rank Approximation", BNAIC/BeNeLearn 2023. [code] [arXiv]
L. Loconte, S. Mengel, N. Gillis and A. Vergari, "Negative Mixture Models via Squaring: Representation and Learning", UAI Worshop on Tractable Probabilistic Modeling (TPM 2023), Pittsburgh, 4 August 2023. [pdf] [poster] [video]
C. Kolomvakis, A. Vandaele and N. Gillis, "Algorithms for Boolean Matrix Factorization using Integer Programming", MLSP 2023, 17-20 September, 2023, Rome. [arXiv] [code] [doi] *Best student paper award* [photo]
G. Seraghiti, A. Awari, A. Vandaele, M. Porcelli and N. Gillis, "Accelerated Algorithms for Nonlinear Matrix Decomposition with the ReLU function", MLSP 2023, 17-20 September, 2023, Rome. [arXiv] [code] [doi]
O. Vu Thanh and N. Gillis, "Identifiability of Polytopic Matrix Factorization", EUSIPCO 2023, 4-8 September 2023, Helsinki. [pdf]
P. De Handschutter, N. Gillis and W. Blekic, "Deep Symmetric Matrix Factorization", EUSIPCO 2023, 4-8 September 2023, Helsinki. [pdf] [code]
A. Dache, N. Nadisic, A. Vandaele, N. Gillis, "Exact and Heuristic Methods for Simultaneous Sparse Coding", EUSIPCO 2023, 4-8 September 2023, Helsinki. [pdf] [code]
C. Kolomvakis and N. Gillis, "Robust Binary Component Decompositions", ICASSP 2023, 4-10 June 2023, Rhodes, Greece. [pdf] [code]
O. Vu Thanh, N. Nadisic, N. Gillis, "Randomized Successive Projection Algorithm", GRETSI 2022, 6-9 September 2022, Nancy. [Link] [Matlab]
M. Abdolali and N. Gillis, "Subspace Clustering Using Unsupervised Data Augmentation", ICASSP 2022, 22-27 May 2022, Singapore. [doi] [Link] [Matlab]
O. Vu Thanh, N. Gillis and F. Lecron, "Bounded Simplex-Structured Matrix Factorization", ICASSP 2022, 22-27 May 2022, Singapore. [doi] [Link] [Matlab]
N. Nadisic, A. Vandaele, N. Gillis and J.E. Cohen, "Exact biobjective k-sparse nonnegative least squares", EUSIPCO 2021, 23-27 August, Dublin. [doi] [pdf]
P. De Handschutter and N. Gillis, "Deep orthogonal matrix factorization as a hierarchical clustering technique", EUSIPCO 2021, 23-27 August, Dublin. [doi] [pdf] [Matlab]
O. Vu Thanh, A.M.S. Ang and N. Gillis, L. T. K. Hien, "Inertial Majorization-Minimization Algorithm for Minimum-Volume NMF", EUSIPCO 2021, 23-27 August, Dublin. [doi] [pdf]
A.M.S. Ang, V. Leplat, and N. Gillis, "Fast algorithm for complex-NMF with application to source separation", EUSIPCO 2021, 23-27 August, Dublin. [doi] [pdf]
N. Gillis, R. Ohib, S. Plis and V. Potluru, "Grouped Sparse Projection for Deep Learning", ICLR Worshop Hardware Aware Efficient Training (HAET), 2021. [arXiv] [Matlab] [Python]
A.M.S. Ang, N. Gillis, A. Vandaele and H. De Sterck, "Nonnegative Unimodal Matrix Factorization", ICASSP 2021, 6-11 June, Toronto. [doi] [pdf] [video]
O. Vu Thanh, N. Nadisic, N. Gillis, "Randomized Successive Projection Algorithm", GRETSI 2022, 6-9 September 2022, Nancy. [Link] [Matlab]
M. Abdolali and N. Gillis, "Subspace Clustering Using Unsupervised Data Augmentation", ICASSP 2022, 22-27 May 2022, Singapore. [doi] [Link] [Matlab]
O. Vu Thanh, N. Gillis and F. Lecron, "Bounded Simplex-Structured Matrix Factorization", ICASSP 2022, 22-27 May 2022, Singapore. [doi] [Link] [Matlab]
N. Nadisic, A. Vandaele, N. Gillis and J.E. Cohen, "Exact biobjective k-sparse nonnegative least squares", EUSIPCO 2021, 23-27 August, Dublin. [doi] [pdf]
P. De Handschutter and N. Gillis, "Deep orthogonal matrix factorization as a hierarchical clustering technique", EUSIPCO 2021, 23-27 August, Dublin. [doi] [pdf] [Matlab]
O. Vu Thanh, A.M.S. Ang and N. Gillis, L. T. K. Hien, "Inertial Majorization-Minimization Algorithm for Minimum-Volume NMF", EUSIPCO 2021, 23-27 August, Dublin. [doi] [pdf]
A.M.S. Ang, V. Leplat, and N. Gillis, "Fast algorithm for complex-NMF with application to source separation", EUSIPCO 2021, 23-27 August, Dublin. [doi] [pdf]
N. Gillis, R. Ohib, S. Plis and V. Potluru, "Grouped Sparse Projection for Deep Learning", ICLR Worshop Hardware Aware Efficient Training (HAET), 2021. [arXiv] [Matlab] [Python]
A.M.S. Ang, N. Gillis, A. Vandaele and H. De Sterck, "Nonnegative Unimodal Matrix Factorization", ICASSP 2021, 6-11 June, Toronto. [doi] [pdf] [video]
L. T. K. Hien, N. Gillis and P. Patrinos, "Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization", ICML 2020. [link] [arXiv] [Matlab]
N. Nadisic, A. Vandaele, J.E. Cohen and N. Gillis, "Sparse Separable Nonnegative Matrix Factorization", ECML-PKDD 2020. [doi] [arXiv] [code] [pdf] [video]
C. Kervazo, N. Gillis, and N. Dobigeon, "Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures", EUSIPCO 2020. [doi]
T. Marrinan and N. Gillis, "Hyperspectral Unmixing with Rare Endmembers via Minimax Nonnegative Matrix Factorization", EUSIPCO 2020. [doi] [pdf] [Matlab]
N. Nadisic, A. Vandaele, N. Gillis and J.E. Cohen, "Exact Sparse Nonnegative Least Squares", ICASSP 2020, May 4-8, 2020, Barcelona. [pdf] [Code]
A.M.S. Ang, J.E. Cohen, L. T. K. Hien and N. Gillis, "Extrapolated Alternating Algorithms for Approximate Canonical Polyadic Decomposition", ICASSP 2020, May 4-8, 2020, Barcelona. [doi] [pdf] [Code] [video]
N. Gillis, "Successive Projection Algorithm Robust to Outliers", CAMSAP 2019, December 15-18 2019, Guadeloupe. [doi] [arXiv] [Matlab]
J.E. Cohen, N. Gillis, "Nonnegative Low-Rank Sparse Component Analysis", ICASSP 2019, May 12-17, 2019, Brighton, UK. [doi] [pdf] [Matlab]
N. Gillis, "Separable Simplex-Structured Matrix Factorization: Robustness of Combinatorial Approaches", ICASSP 2019, May 12-17, 2019, Brighton, UK. [doi] [pdf]
V. Leplat, A.M.S. Ang, N. Gillis, "Minimum-Volume Rank-Deficient Nonnegative Matrix Factorizations", ICASSP 2019, May 12-17, 2019, Brighton, UK. [doi] [pdf] [Matlab]
A.M.S. Ang and N. Gillis, "Volume regularized Non-negative Matrix Factorizations", IEEE WHISPERS 2018, Sep. 23-26, 2018, Amsterdam, Netherlands. [pdf]
J.E. Cohen, N. Gillis, "A New Approach to Dictionary-Based Nonnegative Matrix Factorization", 25th European Signal Processing Conference (EUSIPCO), Kos Island (Greece), pp. 523-527, 28 Aug.-2 Sept., 2017. [pdf] [code]
J.E. Cohen, P. Comon, N. Gillis, "Some theory on Non-negative Tucker Decomposition", 13th Int. Conf. on Latent Variable Analysis and Signal Separation (LVA-ICA), Grenoble, 21-23 February 2017. [doi] [pdf]
N. Gillis and W.-K. Ma, "Enhancing Pure-Pixel Identification Performance via Preconditioning", Worskshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Lausanne, June 2014. [doi] [arXiv] [Matlab] [Slides]
F. Pompili, N. Gillis, P.-A. Absil and F. Glineur, "ONP-MF: An Orthogonal Nonnegative Matrix Factorization Algorithm with Application to Clustering", Proceedings of the 21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013), Bruges, Belgium, 24-26 April 2013. [arXiv] [Matlab]
N. Gillis, R.J. Plemmons and Q. Zhang, "Priors in Sparse Recursive Decompositions of Hyperspectral Images", in Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, edited by Sylvia S. Shen, Paul E. Lewis, Proceedings of SPIE Vol. 8390 (2012). [doi] [pdf] [Matlab]
N. Gillis and R.J. Plemmons, "Sparse Nonnegative Matrix Underapproximation and its Application for Hyperspectral Image Analysis", third worskshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Lisbon, June 2011. [doi] [pdf] [Matlab] [Slides]
N. Gillis and R.J. Plemmons, "Dimensionality Reduction, Classification, and Spectral Mixture Analysis using Nonnegative Underapproximation", in Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, edited by Sylvia S. Shen, Paul E. Lewis, Proceedings of SPIE Vol. 7695 (SPIE, Bellingham, WA, 2010) 76951A. Best paper award. [doi]
M.W. Berry, N. Gillis and F. Glineur, "Document Classification Using Nonnegative Matrix Factorization and Underapproximation", in Proc. IEEE Int. Symp. on Circuits and Systems (ISCAS), 2009. [doi] [pdf]