most citedPolicy-driven Conformal Prediction for Trustworthy QoT Estimation

2 citations · 3 across the 8 of their papers we have counts for

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cs.LG2026

Explanation-Based Runtime Verification for Trustworthy ML-driven Optical Networks

Omran Ayoub, Carlos Natalino, Ali Al Housseini +5

Machine learning (ML) models are increasingly integrated into optical network automation frameworks to support tasks such as failure management, performance monitoring and resource…

cs.LG2026★ 2 cited

Policy-driven Conformal Prediction for Trustworthy QoT Estimation

Kiarash Rezaei, Omran Ayoub, Paolo Monti +1

We propose Conformal QoT, a policy-driven framework that combines statistically guaranteed QoT estimation with operational decision policies, enabling reliable lightpath-feasibilit…