Uncertainty Quantification for Traffic Forecasting: A Unified Approach

11 August 2022

Papers citing "Uncertainty Quantification for Traffic Forecasting: A Unified Approach"

7 / 7 papers shown

Title
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting Tengfei Lyu Weijia Zhang Jinliang Deng Hao Liu AI4TS 27 0 0 25 Sep 2024
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks Dingyi Zhuang Yuheng Bu Guang Wang Shenhao Wang Jinhua Zhao BDL 40 1 0 13 Sep 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 53 8 0 11 Mar 2024
Adaptive Modeling of Uncertainties for Traffic Forecasting Ying Wu Yongchao Ye Adnan Zeb James J. Q. Yu Ziyi Wang AI4TS 26 7 0 16 Mar 2023
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks Qingyi Wang Shenhao Wang Dingyi Zhuang Haris N. Koutsopoulos Jinhua Zhao AI4TS 19 19 0 07 Mar 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015