3 papers
cs.LG2026
Boundary-Constrained Diffusion Models for Floorplan Generation: Balancing Realism and Diversity
Leonardo Stoppani, Davide Bacciu, Shahab Mokarizadeh
Diffusion models have become widely popular for automated floorplan generation, producing highly realistic layouts conditioned on user-defined constraints. However, optimizing for…
cs.LG2025
Credal Graph Neural Networks
Matteo Tolloso, Davide Bacciu
Uncertainty quantification is essential for deploying reliable Graph Neural Networks (GNNs), where existing approaches primarily rely on Bayesian inference or ensembles. In this pa…
cs.IR2025
Real-time and personalized product recommendations for large e-commerce platforms
Matteo Tolloso, Davide Bacciu, Shahab Mokarizadeh +1
We present a methodology to provide real-time and personalized product recommendations for large e-commerce platforms, specifically focusing on fashion retail. Our approach aims to…