Arnaud Vandaele

According to our database, Arnaud Vandaele authored at least 21 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Component-Wise Squared Factorization.

Joakim Lefebvre, Arnaud Vandaele, Nicolas Gillis

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Orthogonal Symmetric Nonnegative Matrix Tri-Factorization.

Alexandra Dache, Arnaud Vandaele, Nicolas Gillis

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Coordinate Descent Algorithm for Nonlinear Matrix Decomposition with the ReLU Function.

Atharva Awari, Harrison Nguyen, Samuel Wertz, Arnaud Vandaele, Nicolas Gillis

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Accelerated Algorithms For Nonlinear Matrix Decomposition With The Relu Function.

Giovanni Seraghiti, Atharva Awari, Arnaud Vandaele, Margherita Porcelli, Nicolas Gillis

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Algorithms for Boolean Matrix Factorization using Integer Programming.

Christos Kolomvakis, Arnaud Vandaele, Nicolas Gillis

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Exact and Heuristic Methods for Simultaneous Sparse Coding.

Alexandra Dache, Arnaud Vandaele, Nicolas Gillis, Nicolas Nadisic

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Matrix-wise ℓ ₀-constrained sparse nonnegative least squares.

Nicolas Nadisic, Jeremy E. Cohen, Arnaud Vandaele, Nicolas Gillis

Mach. Learn., 2022

2021

Off-diagonal symmetric nonnegative matrix factorization.

François Moutier, Arnaud Vandaele, Nicolas Gillis

Numer. Algorithms, 2021

Nonnegative Unimodal Matrix Factorization.

Andersen Man Shun Ang, Nicolas Gillis, Arnaud Vandaele, Hans De Sterck

Proceedings of the IEEE International Conference on Acoustics, 2021

Exact Biobjective k-Sparse Nonnegative Least Squares.

Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis, Jeremy E. Cohen

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Near-Convex Archetypal Analysis.

Pierre De Handschutter, Nicolas Gillis, Arnaud Vandaele, Xavier Siebert

IEEE Signal Process. Lett., 2020

A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares.

Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis

CoRR, 2020

Sparse Separable Nonnegative Matrix Factorization.

Nicolas Nadisic, Arnaud Vandaele, Jeremy E. Cohen, Nicolas Gillis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Exact Sparse Nonnegative Least Squares.

Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis, Jeremy E. Cohen

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018

Algorithms for positive semidefinite factorization.

Arnaud Vandaele, François Glineur, Nicolas Gillis

Comput. Optim. Appl., 2018

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

Heuristics for exact nonnegative matrix factorization.

Arnaud Vandaele, Nicolas Gillis, François Glineur, Daniel Tuyttens

J. Glob. Optim., 2016

2015

Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization.

Arnaud Vandaele, Nicolas Gillis, Qi Lei, Kai Zhong, Inderjit S. Dhillon

CoRR, 2015

On the Linear Extension Complexity of Regular n-gons.

Arnaud Vandaele, Nicolas Gillis, François Glineur

CoRR, 2015

2014

Towards an efficient resolution of printing problems.

Daniel Tuyttens, Arnaud Vandaele

Discret. Optim., 2014

2010

Using a greedy random adaptative search procedure to solve the cover printing problem.

Daniel Tuyttens, Arnaud Vandaele

Comput. Oper. Res., 2010