7 citations · 14 across the 11 of their papers we have counts for
3 papers · 1 filter
Deep Matrix Factorization with Adaptive Weights for Multi-View Clustering
Yasser Khalafaoui, Basarab Matei, Martino Lovisetto +1
Recently, deep matrix factorization has been established as a powerful model for unsupervised tasks, achieving promising results, especially for multi-view clustering. However, exi…
Convex Non-negative Matrix Factorization Through Quantum Annealing
Ahmed Zaiou, Basarab Matei, Younès Bennani +1
In this paper we provide the quantum version of the Convex Non-negative Matrix Factorization algorithm (Convex-NMF) by using the D-wave quantum annealer. More precisely, we use D-w…
Co-clustering through Optimal Transport
Charlotte Laclau, Ievgen Redko, Basarab Matei +2
In this paper, we present a novel method for co-clustering, an unsupervised learning approach that aims at discovering homogeneous groups of data instances and features by grouping…