Adjusting for Autocorrelated Errors in Neural Networks for Time Series

28 January 2021

Papers citing "Adjusting for Autocorrelated Errors in Neural Networks for Time Series"

7 / 7 papers shown

Title
PPGF: Probability Pattern-Guided Time Series Forecasting Yanru Sun Zongxia Xie Haoyu Xing Hualong Yu Q. Hu AI4TS 48 0 0 18 Feb 2025
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods Wenzhen Yue Xianghua Ying Ruohao Guo DongDong Chen Ji Shi Bowei Xing Yuqing Zhu Taiyan Chen AI4TS 34 3 0 27 Apr 2024
Multivariate Probabilistic Time Series Forecasting with Correlated Errors Vincent Zhihao Zheng Lijun Sun BDL AI4TS 34 2 0 01 Feb 2024
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling Jiaxiang Dong Haixu Wu Haoran Zhang Li Zhang Jianmin Wang Mingsheng Long AI4TS 40 83 0 02 Feb 2023
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang Ziyuan Zhao Theodoros Tsiligkaridis Marinka Zitnik AI4TS 42 272 0 17 Jun 2022
FreDo: Frequency Domain-based Long-Term Time Series Forecasting Fan-Keng Sun Duane S. Boning AI4TS 53 11 0 24 May 2022
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning Yufan Zhang Honglin Wen Qiuwei Wu Qiang Ai 19 21 0 18 May 2022