1 citations · 1 across the 4 of their papers we have counts for
6 papers
CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems
Yasser Khalafaoui, Martino Lovisetto, Basarab Matei +1
The increasing availability and diversity of multimodal data in recommender systems offer new avenues for enhancing recommendation accuracy and user satisfaction. However, these sy…
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…
Joint Multi-View Collaborative Clustering
Yasser Khalafaoui, Basarab Matei, Nistor Grozavu +1
Data is increasingly being collected from multiple sources and described by multiple views. These multi-view data provide richer information than traditional single-view data. Fusi…
Integrating factor techniques applied to the Schrödinger-like equations. Comparison with Split-Step methods
Martino Lovisetto, Didier Clamond, Bruno Marcos
The nonlinear Schrödinger and the Schrödinger-Newton equations model many phenomena in various fields. Here, we perform an extensive numerical comparison between splitting methods…
Experimental observation of violent relaxation and the formation of out-of-equilibrium quasi-stationary states
M. Lovisetto, M. C. Braidotti, R. Prizia +6
Large scale structures in the Universe, ranging from globular clusters to entire galaxies, are the manifestation of relaxation to out-of-equilibrium states that are not described b…
Optimized integrating factor technique for Schrödinger-like equations
Martino Lovisetto, D Clamond, B Marcos
The integrating factor technique is widely used to solve numerically (in particular) the Schrödinger equation in the context of spectral methods. Here, we present an improvement of…