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Arts of Southern Switzerland, University of Southern Switzerland
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Models can achieve robust performance across diverse optical network configurations with a novel joint learning approach that enhances adaptability and efficiency.
Explanation-based runtime verification intercepts erroneous ML decisions in optical networks, preserving automation while enhancing reliability.