Multivariate Time Series Forecasting

November 10, 2023

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective
Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
Multivariate Time Series Multivariate Time Series Forecasting Graph Perspective Fourier Net Space Time Multidimensional Graph Fourier Transformation

October 31, 2023

BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
Zelin Ni, Hang Yu, Shizhan Liu, Jianguo Li, Weiyao Lin
Time Series Forecasting Multivariate Time Series Forecasting Interpretable Basis
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data
Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj
Multivariate Time Series Forecasting Forecasting Performance Multivariate Forecasting

October 22, 2023

Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting
YeXin Huang
Multivariate Time Series Forecasting Hidden Markov Model Pyramid Network

October 15, 2023

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann
Time Series Multivariate Time Series Forecasting Unified Model

October 9, 2023

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S.Jensen, Xueqi Cheng
Multivariate Time Series Much Progress Multivariate Time Series Forecasting Long Term Time Series Forecasting Spatio Temporal Forecasting Statistical Heterogeneity

September 26, 2023

Revealing the Power of Spatial-Temporal Masked Autoencoders in Multivariate Time Series Forecasting
Jiarui Sun, Yujie Fan, Chin-Chia Michael Yeh, Wei Zhang, Girish Chowdhary
Real Power Spatio Temporal Multivariate Time Series Forecasting Masked Autoencoder

August 23, 2023

Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting
Yifan Zhang, Rui Wu, Sergiu M. Dascalu, Frederick C. Harris
Multi Scale Multivariate Time Series Temporal Dependency Multivariate Time Series Forecasting

August 7, 2023

DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction
Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu
Transformer Based Model Multivariate Time Series Temporal Attention Multivariate Time Series Forecasting Accurate Predictive Model

July 4, 2023

SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting
Zhenwei Zhang, Linghang Meng, Yuantao Gu
New Framework Multivariate Time Series Forecasting Graph Aware Transformer Inter Series

June 30, 2023

Improving the Transferability of Time Series Forecasting with Decomposition Adaptation
Yan Gao, Yan Wang, Qiang Wang
Time Series Forecasting Task Transferability Multivariate Time Series Forecasting Joint Distribution Adaptation Neural Forecasting Decomposition Network

June 15, 2023

Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model
Zahra Fatemi, Minh Huynh, Elena Zheleva, Zamir Syed, Xiaojun Di
Multivariate Time Series Multivariate Time Series Forecasting Multivariate Time Series Data Causal Prediction Warm Start CDF Cold Framework

June 14, 2023

June 12, 2023

MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting
Xing Wang, Zhendong Wang, Kexin Yang, Junlan Feng, Zhiyan Song, Chao Deng, Lin zhu
Time Series Forecasting Multivariate Time Series Forecasting Long Term Time Series Forecasting Pattern Mining

June 4, 2023

Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting
Donghao Luo, Xue Wang
Time Series Forecasting Multivariate Time Series State of the Art Forecasting Multivariate Time Series Forecasting

May 30, 2023

Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting
Jiaxin Gao, Wenbo Hu, Yuntian Chen
Transformer Based Model Multivariate Time Series Forecasting Long Term Time Series Forecasting Client Collaboration

May 25, 2023

Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting
Zheng Sun, Yi Wei, Wenxiao Jia, Long Yu
Transformer Based Model Spatio Temporal Multivariate Time Series Forecasting Temporal Transformer Long Term Time Series Forecasting

May 24, 2023

A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting
Yushu Chen, Shengzhuo Liu, Jinzhe Yang, Hao Jing, Wenlai Zhao, Guangwen Yang
Transformer Model Multivariate Time Series Forecasting Frequency Domain Representation Joint Transformer

May 22, 2023

Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang
Adaptive Importance Multivariate Time Series Multivariate Time Series Forecasting Structural Engineering Forecasting System

Multivariate Time Series Forecasting

Papers

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis

AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data

Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis

Revealing the Power of Spatial-Temporal Masked Autoencoders in Multivariate Time Series Forecasting

Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting

DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction

SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting

Improving the Transferability of Time Series Forecasting with Decomposition Adaptation

Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model

GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting

TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting

MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting

Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting

Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting

Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting

A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting

Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting