2 citations · 4 across the 8 of their papers we have counts for
5 papers · 1 filter
Radio-Optical Confluence in Intelligent Edge Networks
Akshita Gupta, Devika Dass, Agastya Raj +4
Challenges associated with densification of radio access networks are motivating exploration of more efficient and scalable architectures. We examine recent progress in one directi…
Cross-Domain Generalization in Optical Networks via Joint Contrastive and Classification Learning
Ali Al Housseini, Carlos Natalino, Paolo Monti +1
The robustness of machine learning techniques across heterogeneous network domains remains an open challenge in optical networks. Models trained on data from a specific topology or…
Human Grounded Evaluation of Large Language Models for Optical Network Automation
Kiarash Rezaei, Omran Ayoub, Paolo Monti +1
Large language models (LLMs) are increasingly adopted for network automation, yet their output quality and inference cost can vary substantially across LLM families. We present HuG…
Generative Explainability for Next-Generation Networks: LLM-Augmented XAI with Mutual Feature Interactions
Kiarash Rezaei, Omran Ayoub, Sebastian Troia +3
As artificial intelligence and machine learning (AI/ML) models become integral to network operations, their lack of transparency poses a significant barrier to operator trust. Exis…
A Unified Siamese Learning Framework for Zero-Day Anomaly Detection and Classification in Optical Networks
Carlos Natalino, Flávia P. Monteiro, Paolo Monti
A multi-similarity Siamese neural network unifies zero-day anomaly detection and one-shot classification in optical networks, achieving over 99% accuracy and instant adaptability a…