2 papers
cs.LG2023
Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting
Adnan Zeb, Yongchao Ye, Shiyao Zhang +1
Traffic forecasting is a fundamental problem in intelligent transportation systems. Existing traffic predictors are limited by their expressive power to model the complex spatial-t…
cs.LG2023
Adaptive Modeling of Uncertainties for Traffic Forecasting
Ying Wu, Yongchao Ye, Adnan Zeb +2
Deep neural networks (DNNs) have emerged as a dominant approach for developing traffic forecasting models. These models are typically trained to minimize error on averaged test cas…