ShaoChen He

Optimizing Network Simulation: Enhancing Performance Prediction Accuracy via Neural Architecture Search

Existing machine learning models for network simulation excel at predicting average performance but, due to their reliance on mean squared error, systematically fail to capture the critical tail-latency and jitter that define modern network stability. This 'tail-blindness' renders them unreliable fo…