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

@inproceedings{zhou-2024-crest, author = {Zhengyang Zhou and Jiahao Shi and Hongbo Zhang and Qiongyu Chen and Xu Wang and Hongyang Chen and Yang Wang}, editor = {Luz Angelica Caudillo-Mata and Silvio Lattanzi and Andr\'{e}s Mu\~{n}oz Medina and Leman Akoglu and Aristides Gionis and Sergei Vassilvitskii}, title = {{CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting}}, booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}}, pages = {985--993}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3616855.3635759}, doi = {https://doi.org/10.1145/3616855.3635759} }