A neural network with a theory-guided differentiable layer infers hidden demand from QoS data for improved generalization across network conditions.
In20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23)
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TG-DIN: Theory-Guided Demand Inference Network for Generalizable QoS Measurement and Prediction
A neural network with a theory-guided differentiable layer infers hidden demand from QoS data for improved generalization across network conditions.