Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

24 June 2021

Papers citing "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting"

50 / 701 papers shown

Title
Transformer Training Strategies for Forecasting Multiple Load Time Series Matthias Hertel Maximilian Beichter Benedikt Heidrich Oliver Neumann Benjamin Schafer Ralf Mikut V. Hagenmeyer AI4TS 24 12 0 19 Jun 2023
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu OOD AI4TS 13 7 0 19 Jun 2023
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection Yiyuan Yang Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 103 117 0 17 Jun 2023
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series Jiawen Zhang Shun Zheng Wei Cao Jiang Bian Jia Li AI4TS 29 26 0 14 Jun 2023
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting Yanjun Zhao Ziqing Ma Tian Zhou Liang Sun M. Ye Yi Qian AI4TS 30 19 0 14 Jun 2023
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting Vijayabharathi Ekambaram Arindam Jati Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AI4TS 42 134 0 14 Jun 2023
Improving Knee Joint Angle Prediction through Dynamic Contextual Focus and Gated Linear Units L. Saad Saoud Humaid Ibrahim Ahmad Aljarah Irfan Hussain AI4CE 27 1 0 12 Jun 2023
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting Xing Wang Zhendong Wang Kexin Yang Junlan Feng Zhi-yan Song Chao Deng Lin Zhu AI4TS 25 3 0 12 Jun 2023
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations E. L. Naour Louis Serrano Léon Migus Yuan Yin G. Agoua Nicolas Baskiotis Patrick Gallinari Vincent Guigue BDL AI4TS 16 10 0 09 Jun 2023
Non-autoregressive Conditional Diffusion Models for Time Series Prediction Lifeng Shen James Kwok DiffM AI4CE 28 48 0 08 Jun 2023
Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs? Daojun Liang Haixia Zhang Dongfeng Yuan Xiaoyan Ma Dongyang Li Minggao Zhang AI4TS 17 5 0 08 Jun 2023
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning Jifeng Hu Yan Sun Sili Huang Siyuan Guo Hechang Chen Li Shen Lichao Sun Yi-Ju Chang Dacheng Tao DiffM OffRL 40 13 0 08 Jun 2023
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting Donghao Luo Xue Wang BDL AI4TS 19 2 0 04 Jun 2023
RITA: Group Attention is All You Need for Timeseries Analytics Jiaming Liang Lei Cao Samuel Madden Z. Ives Guoliang Li AI4TS 16 0 0 02 Jun 2023
One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud Platforms Shaoyuan Huang Zheng Wang Hengda Zhang Xiaofei Wang Chen Zhang Wenyu Wang AI4TS 24 10 0 02 Jun 2023
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context Oussama Boussif Ghait Boukachab D. Assouline Stefano Massaroli T. Yuan L. Benabbou Yoshua Bengio 17 14 0 01 Jun 2023
An End-to-End Time Series Model for Simultaneous Imputation and Forecast Trang H. Tran Lam M. Nguyen K. Yeo Nam H. Nguyen Dzung Phan Roman Vaculin Jayant Kalagnanam SyDa BDL AI4TS 29 3 0 01 Jun 2023
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting Jiewen Deng Jinliang Deng Renhe Jiang Xuan Song AI4TS 31 5 0 01 Jun 2023
Taylorformer: Probabilistic Predictions for Time Series and other Processes Omer Nivron R. Parthipan Damon J. Wischik BDL AI4TS 21 2 0 30 May 2023
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting Jiaxin Gao Wenbo Hu Yuntian Chen AI4TS 27 13 0 30 May 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 32 102 0 30 May 2023
Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer Yang Zhang Lingbo Liu Xinyu Xiong Guanbin Li Guoli Wang Liang Lin AI4TS 19 5 0 30 May 2023
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers Zahra Atashgahi Mykola Pechenizkiy Raymond N. J. Veldhuis Decebal Constantin Mocanu AI4TS AI4CE 29 1 0 28 May 2023
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting Zheng Sun Yi Wei Wenxiao Jia Long Yu AI4TS 25 0 0 25 May 2023
TLNets: Transformation Learning Networks for long-range time-series prediction Wen Wang Yang Liu Haoqin Sun AI4TS 33 3 0 25 May 2023
Feature-aligned N-BEATS with Sinkhorn divergence Joon-Young Lee Myeongho Jeon Myung-joo Kang Kyung-soon Park AI4TS 30 0 0 24 May 2023
A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting Yushu Chen Shengzhuo Liu Jinzhe Yang Hao Jing Wenlai Zhao Guang-Wu Yang AI4TS 24 15 0 24 May 2023
Federated Prompt Learning for Weather Foundation Models on Devices Shen Chen Guodong Long Tao Shen Jing Jiang Tianyi Zhou FedML 28 10 0 23 May 2023
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting Jinliang Deng Xiusi Chen Renhe Jiang Du Yin Yezhou Yang Xuan Song Ivor W. Tsang BDL AI4TS 32 16 0 22 May 2023
Forecasting Irregularly Sampled Time Series using Graphs Vijaya Krishna Yalavarthi Kiran Madusudanan Randolf Scholz Nourhan Ahmed Johannes Burchert Shayan Jawed Stefan Born Lars Schmidt-Thieme AI4TS 19 2 0 22 May 2023
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare Panayiotis Danassis Shresth Verma J. Killian Aparna Taneja Milind Tambe 10 6 0 22 May 2023
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting Xue Wang Tian Zhou Qingsong Wen Jinyang Gao Bolin Ding Rong Jin AI4TS 26 39 0 20 May 2023
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping Zhe Li Shiyi Qi Yiduo Li Zenglin Xu AI4TS 23 103 0 18 May 2023
A Survey on Time-Series Pre-Trained Models Qianli Ma Ziqiang Liu Zhenjing Zheng Ziyang Huang Siying Zhu Zhongzhong Yu James T. Kwok AI4TS 31 50 0 18 May 2023
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting Ryo Umagami Yusuke Ono Yusuke Mukuta Tatsuya Harada AI4TS 42 3 0 14 May 2023
Mlinear: Rethink the Linear Model for Time-series Forecasting Wei Li Xiangxu Meng Chuhao Chen Jianing Chen AI4TS 26 6 0 08 May 2023
Diffusion Models for Time Series Applications: A Survey Lequan Lin Zhengkun Li Ruikun Li Xuliang Li Junbin Gao MedIm DiffM 34 65 0 01 May 2023
Long-term Forecasting with TiDE: Time-series Dense Encoder Abhimanyu Das Weihao Kong Andrew B. Leach Shaan Mathur Rajat Sen Rose Yu AI4TS 44 238 0 17 Apr 2023
Boosting long-term forecasting performance for continuous-time dynamic graph networks via data augmentation Yu Tian Mingjie Zhu Jiachi Luo Song Li 29 0 0 12 Apr 2023
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting Lu Han Han-Jia Ye De-Chuan Zhan AI4TS 25 85 0 11 Apr 2023
Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning Riccardo Ughi Eugenio Lomurno Matteo Matteucci AI4TS 19 1 0 10 Apr 2023
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems Ivica Kicic Pantelis R. Vlachas G. Arampatzis Michail Chatzimanolakis Leonidas J. Guibas Petros Koumoutsakos AI4CE 22 6 0 04 Apr 2023
Multi-modal learning for geospatial vegetation forecasting V. Benson Claire Robin C. Requena-Mesa Lazaro Alonso Nuno Carvalhais José A. Cortés Zhihan Gao Nora Linscheid M. Weynants Markus Reichstein 30 11 0 28 Mar 2023
Towards Diverse and Coherent Augmentation for Time-Series Forecasting Xiyuan Zhang Ranak Roy Chowdhury Jingbo Shang Rajesh K. Gupta Dezhi Hong AI4TS 32 4 0 24 Mar 2023
It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting Lars Odegaard Bentsen N. Warakagoda R. Stenbro P. Engelstad AI4TS 15 1 0 23 Mar 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library Le Yu Leilei Sun Bowen Du Weifeng Lv AI4CE 29 96 0 23 Mar 2023
Discovering Predictable Latent Factors for Time Series Forecasting Jingyi Hou Zhen Dong Jiayu Zhou Zhijie Liu AI4TS BDL 30 1 0 18 Mar 2023
Effectively Modeling Time Series with Simple Discrete State Spaces Michael Zhang Khaled Kamal Saab Michael Poli Tri Dao Karan Goel Christopher Ré AI4TS 30 45 0 16 Mar 2023
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning Haoyu He Jianfei Cai Jing Zhang Dacheng Tao Bohan Zhuang VPVLM 22 50 0 15 Mar 2023
TSMixer: An All-MLP Architecture for Time Series Forecasting Si-An Chen Chun-Liang Li Nate Yoder Sercan Ö. Arik Tomas Pfister AI4TS 36 156 0 10 Mar 2023