MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data

27 October 2021

Papers citing "MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data"

7 / 7 papers shown

Title
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning Jiewen Deng Renhe Jiang Jiaqi Zhang Xuan Song AI4TS 25 3 0 06 May 2024
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl Lei Guo AI4TS 17 3 0 22 Dec 2023
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl J. R. Anaraki Lei Guo BDL AI4TS 10 9 0 22 Dec 2023
OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud Ding Zou Wei Lu Zhibo Zhu Xingyu Lu Jun-ping Zhou Xiaojin Wang Kangyu Liu Haiqing Wang Kefan Wang Renen Sun 11 0 0 26 Oct 2023
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting Jiewen Deng Jinliang Deng Renhe Jiang Xuan Song AI4TS 31 3 0 01 Jun 2023
ALT: An Automatic System for Long Tail Scenario Modeling Ya-Lin Zhang Jun Zhou Yankun Ren Yue Zhang Xinxing Yang Meng Li Qitao Shi Longfei Li 17 0 0 19 May 2023
Learning Differential Operators for Interpretable Time Series Modeling Yingtao Luo Chang Xu Yang Liu Weiqing Liu Shun Zheng Jiang Bian AI4TS 20 8 0 03 Sep 2022