Quantifying Uncertainty in Deep Spatiotemporal Forecasting

25 May 2021

Alessandro Vespignani

Papers citing "Quantifying Uncertainty in Deep Spatiotemporal Forecasting"

39 / 39 papers shown

Title
Towards An Efficient and Effective En Route Travel Time Estimation Framework Zekai Shen Haitao Yuan Xiaowei Mao Congkang Lv Shengnan Guo Youfang Lin Huaiyu Wan 33 0 0 05 Apr 2025
Towards Anthropomorphic Conversational AI Part I: A Practical Framework Fei Wei Yaliang Li Bolin Ding 38 0 0 28 Feb 2025
ProGen: Revisiting Probabilistic Spatial-Temporal Time Series Forecasting from a Continuous Generative Perspective Using Stochastic Differential Equations Mingze Gong Lei Chen Jia Li DiffM AI4TS 33 0 0 02 Nov 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
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation Xiaowei Mao Yan Lin Shengnan Guo Yubin Chen Xingyu Xian Haomin Wen Qisen Xu Youfang Lin Huaiyu Wan 44 1 0 23 Aug 2024
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned Du Yin Jinliang Deng Shuang Ao Zechen Li Hao Xue Arian Prabowo Renhe Jiang Xuan Song Flora Salim AI4TS 42 0 0 18 Jun 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 48 8 0 11 Mar 2024
Full Bayesian Significance Testing for Neural Networks Zehua Liu Zimeng Li Jingyuan Wang Yue He BDL 13 3 0 24 Jan 2024
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space Wenchong He Zhe Jiang Tingsong Xiao Zelin Xu Shigang Chen Ronald Fick Miles Medina Christine Angelini 18 16 0 08 Nov 2023
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning Junfeng Hu Xu Liu Zhencheng Fan Keli Zhang Roger Zimmermann AI4CE DiffM 28 7 0 26 Oct 2023
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS AI4CE 26 14 0 24 Oct 2023
Machine Learning for Urban Air Quality Analytics: A Survey Jindong Han Weijiao Zhang Hao Liu Hui Xiong AI4CE 80 12 0 14 Oct 2023
Uncertainty-aware Traffic Prediction under Missing Data Hao Mei Junxian Li Zhiming Liang Guanjie Zheng Bin Shi Hua Wei EDL 24 6 0 13 Sep 2023
A Comparative Study of Loss Functions: Traffic Predictions in Regular and Congestion Scenarios Yangxinyu Xie Tanwi Mallick 17 0 0 29 Aug 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 18 1 0 11 Aug 2023
Online covariance estimation for stochastic gradient descent under Markovian sampling Abhishek Roy Krishnakumar Balasubramanian 24 5 0 03 Aug 2023
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training Fan Liu Weijiao Zhang Haowen Liu AI4TS OOD 10 9 0 25 Jun 2023
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management Liyue Chen Jiangyi Fang Zhe Yu Yongxin Tong Shaosheng Cao Leye Wang AI4TS 24 7 0 05 Jun 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting Salva Rühling Cachay Bo Zhao Hailey James Rose Yu DiffM AI4TS 28 57 0 03 Jun 2023
Fairness Uncertainty Quantification: How certain are you that the model is fair? Abhishek Roy P. Mohapatra 24 5 0 27 Apr 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey G. Jin Keli Zhang Yuchen Fang Zezhi Shao Jincai Huang Junbo Zhang Yu Zheng AI4TS AI4CE 85 182 0 25 Mar 2023
A Survey on Uncertainty Quantification Methods for Deep Learning Wenchong He Zhe Jiang Tingsong Xiao Zelin Xu Yukun Li BDL UQCV AI4CE 19 18 0 26 Feb 2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models Haomin Wen Youfang Lin Yutong Xia Huaiyu Wan Qingsong Wen Roger Zimmermann Keli Zhang DiffM 23 82 0 31 Jan 2023
GAR: Generalized Autoregression for Multi-Fidelity Fusion Yuxin Wang Zhengrong Xing Wei W. Xing AI4CE 19 3 0 13 Jan 2023
Copula Conformal Prediction for Multi-step Time Series Forecasting S. Sun Rose Yu AI4TS 29 22 0 06 Dec 2022
What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems Gilad Kutiel Regev Cohen Michael Elad Daniel Freedman UQCV 27 5 0 28 Nov 2022
Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants Liyao (Mars) Gao J. Nathan Kutz AI4CE 32 20 0 19 Nov 2022
Time series quantile regression using random forests Hiroshi Shiraishi Tomoshige Nakamura Ryotato Shibuki AI4TS 11 3 0 04 Nov 2022
A review of predictive uncertainty estimation with machine learning Hristos Tyralis Georgia Papacharalampous UD UQCV 59 43 0 17 Sep 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey S. Sun AI4CE 38 10 0 08 Sep 2022
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics Zhengyang Zhou Yang Kuo Wei Sun Binwu Wang Mingxing Zhou Yunan Zong Yang Wang AI4TS 24 3 0 17 Aug 2022
Uncertainty Quantification for Traffic Forecasting: A Unified Approach Weizhu Qian Dalin Zhang Yan Zhao Kai Zheng James J. Q. Yu BDL AI4TS 26 22 0 11 Aug 2022
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift Andreas Klass Sven M. Lorenz M. Lauer-Schmaltz David Rügamer Bernd Bischl Christopher Mutschler Felix Ott 34 10 0 17 Jun 2022
Probabilistic Symmetry for Multi-Agent Dynamics S. Sun Robin Walters Jinxi Li Rose Yu 16 1 0 04 May 2022
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction Zhong Li Chao Huang Lianghao Xia Yong-mei Xu Jiangsen Pei 36 65 0 18 Apr 2022
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting Tanwi Mallick Prasanna Balaprakash Jane Macfarlane BDL 25 11 0 04 Apr 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,906 0 13 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015