CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting

Zhengyang Zhou, Jiahao Shi, Hongbo Zhang, Qiongyu Chen, Xu Wang, Hongyang Chen, Yang Wang. CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting. In Luz Angelica Caudillo-Mata, Silvio Lattanzi, Andrés Muñoz Medina, Leman Akoglu, Aristides Gionis, Sergei Vassilvitskii, editors, Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024. pages 985-993, ACM, 2024. [doi]

Abstract

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