1 citations · 1 across the 4 of their papers we have counts for
4 papers
Dual-Graph Multi-Agent Reinforcement Learning for Handover Optimization
Matteo Salvatori, Filippo Vannella, Sebastian Macaluso +5
HandOver (HO) control in cellular networks is governed by a set of HO control parameters that are traditionally configured through rule-based heuristics. A key parameter for HO opt…
Quantum Computing for Large-scale Network Optimization: Opportunities and Challenges
Sebastian Macaluso, Giovanni Geraci, Elías F. Combarro +4
The complexity of large-scale 6G-and-beyond networks demands innovative approaches for multi-objective optimization over vast search spaces, a task often intractable. Quantum compu…
Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
Eva Paraschou, Ioannis Arapakis, Sofia Yfantidou +2
Artificial Intelligence (AI) is rapidly embedded in critical decision-making systems, however their foundational ``black-box'' models require eXplainable AI (XAI) solutions to enha…
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics
Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso +3
Reconstructing jets, which provide vital insights into the properties and histories of subatomic particles produced in high-energy collisions, is a main problem in data analyses in…