Gillis, Nicolas

8 publications

ICLR 2024 Subtractive Mixture Models via Squaring: Representation and Learning Lorenzo Loconte, Aleksanteri Mikulus Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari

JMLR 2023 An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis

TMLR 2022 Explicit Group Sparse Projection with Applications to Deep Learning and NMF Riyasat Ohib, Nicolas Gillis, Niccolo Dalmasso, Sameena Shah, Vamsi K. Potluru, Sergey Plis

MLJ 2022 Matrix-Wise ℓ 0-Constrained Sparse Nonnegative Least Squares Nicolas Nadisic, Jeremy E. Cohen, Arnaud Vandaele, Nicolas Gillis

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

ECML-PKDD 2020 Sparse Separable Nonnegative Matrix Factorization Nicolas Nadisic, Arnaud Vandaele, Jeremy E. Cohen, Nicolas Gillis

JMLR 2014 Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization Nicolas Gillis, Robert Luce

JMLR 2012 Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing Nicolas Gillis