CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting

CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting

22 May 2025

Papers citing "CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting"

17 / 17 papers shown

Title
CITRAS: Covariate-Informed Transformer for Time Series Forecasting Yosuke Yamaguchi Issei Suemitsu Wenpeng Wei AI4TS 70 1 0 31 Mar 2025
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting Yong Liu Guo Qin Xiangdong Huang Jianmin Wang Mingsheng Long AI4TS 44 10 0 07 Oct 2024
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting Kun Yi Qi Zhang Wei Fan Shoujin Wang Pengyang Wang Hui He Defu Lian Ning An Longbin Cao ZhenDong Niu AI4TS 75 145 0 10 Nov 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 53 112 0 30 May 2023
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation Kun Yi Qi Zhang LongBing Cao Shoujin Wang Guodong Long Liang Hu Hui He ZhenDong Niu Wei Fan Hui Xiong AI4TS 98 23 0 04 Feb 2023
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 106 756 0 05 Oct 2022
Comparative Analysis of Time Series Forecasting Approaches for Household Electricity Consumption Prediction M. B. Qureshi Hyeok Kim M. Fayaz P. Pawar AI4TS 16 6 0 03 Jul 2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang Ziyuan Zhao Theodoros Tsiligkaridis Marinka Zitnik AI4TS 66 274 0 17 Jun 2022
Multi-scale Attention Flow for Probabilistic Time Series Forecasting Shibo Feng Chunyan Miao Ke-Li Xu Jiaxiang Wu Pengcheng Wu Fan Lin P. Zhao BDL AI4TS 23 25 0 16 May 2022
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting Dazhao Du Fuchun Sun Zhewei Wei AI4TS 35 47 0 23 Feb 2022
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 381 2,638 0 04 May 2021
Causal Hidden Markov Model for Time Series Disease Forecasting Jing Li Botong Wu Xinwei Sun Yizhou Wang CML OOD 40 26 0 30 Mar 2021
Representation Learning via Invariant Causal Mechanisms Jovana Mitrović Brian McWilliams Jacob Walker Lars Buesing Charles Blundell CML OOD SSL 51 248 0 15 Oct 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 271 42,038 0 03 Dec 2019
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 68 880 0 02 Sep 2019
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 453 129,831 0 12 Jun 2017
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 844 149,474 0 22 Dec 2014