End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation

28 December 2022

Papers citing "End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation"

6 / 6 papers shown

Title
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis Shiyu Wang Jiawei Li X. Shi Zhou Ye Baichuan Mo Wenze Lin Shengtong Ju Zhixuan Chu Ming Jin AI4TS 38 9 0 21 Oct 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts X. Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 38 28 0 24 Sep 2024
Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting Shiyu Wang Zhixuan Chu Yinbo Sun Yu Liu Yuliang Guo Yang Chen Huiyang Jian Lintao Ma Xingyu Lu Jun-ping Zhou AI4TS 27 1 0 29 Jul 2024
Cross-Temporal Forecast Reconciliation at Digital Platforms with Machine Learning Jeroen Rombouts Marie Ternes Ines Wilms 11 2 0 14 Feb 2024
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud Siqiao Xue C. Qu X. Shi Cong Liao Shiyi Zhu ... Yun Hu Lei Lei Yang Zheng Jianguo Li James Y. Zhang 54 38 0 31 May 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 169 3,885 0 14 Dec 2020