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

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

24 June 2021
Haixu Wu
Jiehui Xu
Jianmin Wang
Mingsheng Long
    AI4TS
ArXivPDFHTML

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

50 / 701 papers shown
Title
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A
  Global-Local Fusion Perspective
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
Chengsen Wang
Qi Qi
Jingyu Wang
Haifeng Sun
Zirui Zhuang
Jinming Wu
Jianxin Liao
AI4TS
26
8
0
27 Sep 2024
Treating Brain-inspired Memories as Priors for Diffusion Model to
  Forecast Multivariate Time Series
Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series
Muyao Wang
Wenchao Chen
Zhibin Duan
Bo Chen
AI4TS
DiffM
36
0
0
27 Sep 2024
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic
  Patterns
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
Shengsheng Lin
Weiwei Lin
Xinyi Hu
Wentai Wu
Ruichao Mo
Haocheng Zhong
AI4TS
32
14
0
27 Sep 2024
PGN: The RNN's New Successor is Effective for Long-Range Time Series
  Forecasting
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
Yuxin Jia
Youfang Lin
Jing Yu
Shuo Wang
Tianhao Liu
Huaiyu Wan
AI4TS
37
1
0
26 Sep 2024
A Survey of Spatio-Temporal EEG data Analysis: from Models to
  Applications
A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications
Pengfei Wang
Huanran Zheng
Silong Dai
Yiqiao Wang
Xiaotian Gu
Yuanbin Wu
Xiaoling Wang
SyDa
AI4TS
45
3
0
26 Sep 2024
Domain-Independent Automatic Generation of Descriptive Texts for
  Time-Series Data
Domain-Independent Automatic Generation of Descriptive Texts for Time-Series Data
Kota Dohi
Aoi Ito
Harsh Purohit
Tomoya Nishida
Takashi Endo
Y. Kawaguchi
32
3
0
25 Sep 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
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
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting
  and Fine-tuning
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning
Jimeng Shi
Azam Shirali
Giri Narasimhan
AI4TS
41
0
0
21 Sep 2024
Test Time Learning for Time Series Forecasting
Test Time Learning for Time Series Forecasting
Panayiotis Christou
Shichu Chen
Xupeng Chen
Parijat Dube
AI4TS
30
0
0
21 Sep 2024
D2Vformer: A Flexible Time Series Prediction Model Based on Time
  Position Embedding
D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding
Xiaobao Song
Hao Wang
Liwei Deng
Yuxin He
Wenming Cao
Chi-Sing Leungc
AI4TS
32
0
0
17 Sep 2024
Implicit Reasoning in Deep Time Series Forecasting
Implicit Reasoning in Deep Time Series Forecasting
Willa Potosnak
Cristian Challu
Mononito Goswami
Michał Wiliński
Nina Żukowska
Artur Dubrawski
ReLM
AI4TS
LRM
37
2
0
17 Sep 2024
VE: Modeling Multivariate Time Series Correlation with Variate Embedding
VE: Modeling Multivariate Time Series Correlation with Variate Embedding
Shangjiong Wang
Zhihong Man
Zhengwei Cao
Jinchuan Zheng
Zhikang Ge
AI4TS
30
1
0
10 Sep 2024
Automated Data Augmentation for Few-Shot Time Series Forecasting: A Reinforcement Learning Approach Guided by a Model Zoo
Automated Data Augmentation for Few-Shot Time Series Forecasting: A Reinforcement Learning Approach Guided by a Model Zoo
Haochen Yuan
Xuelin Li
Yunbo Wang
Yunbo Wang
AI4TS
34
0
0
10 Sep 2024
A Multi-scenario Attention-based Generative Model for Personalized Blood
  Pressure Time Series Forecasting
A Multi-scenario Attention-based Generative Model for Personalized Blood Pressure Time Series Forecasting
Cheng Wan
Chenjie Xie
Longfei Liu
Dan Wu
Ye Li
AI4TS
26
0
0
07 Sep 2024
An Efficient and Generalizable Symbolic Regression Method for Time
  Series Analysis
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis
Yi Xie
Tianyu Qiu
Yun Xiong
Xiuqi Huang
Xiaofeng Gao
Chao Chen
AI4TS
30
2
0
06 Sep 2024
DLFormer: Enhancing Explainability in Multivariate Time Series
  Forecasting using Distributed Lag Embedding
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding
Younghwi Kim
Dohee Kim
Sunghyun Sim
AI4TS
24
0
0
29 Aug 2024
Enhanced forecasting of stock prices based on variational mode
  decomposition, PatchTST, and adaptive scale-weighted layer
Enhanced forecasting of stock prices based on variational mode decomposition, PatchTST, and adaptive scale-weighted layer
Xiaorui Xue
Shaofang Li
Xiaonan Wang
AIFin
18
1
0
29 Aug 2024
Variational Mode Decomposition and Linear Embeddings are What You Need
  For Time-Series Forecasting
Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series Forecasting
Hafizh Raihan Kurnia Putra
Novanto Yudistira
Tirana Noor Fatyanosa
AI4TS
26
0
0
28 Aug 2024
TCNFormer: Temporal Convolutional Network Former for Short-Term Wind
  Speed Forecasting
TCNFormer: Temporal Convolutional Network Former for Short-Term Wind Speed Forecasting
Abid Hasan Zim
Aquib Iqbal
Asad Malik
Zhicheng Dong
Hanzhou Wu
AI4TS
30
1
0
27 Aug 2024
Geolocation Representation from Large Language Models are Generic
  Enhancers for Spatio-Temporal Learning
Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning
Junlin He
Tong Nie
Wei Ma
AI4TS
26
2
0
22 Aug 2024
Simplified Mamba with Disentangled Dependency Encoding for Long-Term
  Time Series Forecasting
Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting
Zixuan Weng
Jindong Han
Wenzhao Jiang
Hao Liu
Mamba
AI4TS
33
2
0
22 Aug 2024
A Deconfounding Approach to Climate Model Bias Correction
A Deconfounding Approach to Climate Model Bias Correction
Wentao Gao
Jiuyong Li
Debo Cheng
Lin Liu
Jixue Liu
T. Le
Xiaojing Du
Xiongren Chen
Yanchang Zhao
Yun Chen
AI4Cl
29
4
0
22 Aug 2024
Time Series Foundation Models and Deep Learning Architectures for
  Earthquake Temporal and Spatial Nowcasting
Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting
Alireza Jafari
Geoffrey Fox
John B. Rundle
A. Donnellan
L. G. Ludwig
AI4TS
AI4CE
33
2
0
21 Aug 2024
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series
  Forecasting
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
Yongbo Yu
Weizhong Yu
Feiping Nie
Xuelong Li
AI4TS
19
1
0
20 Aug 2024
sTransformer: A Modular Approach for Extracting Inter-Sequential and
  Temporal Information for Time-Series Forecasting
sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting
Jiaheng Yin
Zhengxin Shi
Jianshen Zhang
Xiaomin Lin
Yulin Huang
Yongzhi Qi
Wei Qi
AI4TS
29
0
0
19 Aug 2024
Partial-Multivariate Model for Forecasting
Partial-Multivariate Model for Forecasting
Jaehoon Lee
Hankook Lee
Sungik Choi
Sungjun Cho
Moontae Lee
AI4TS
44
0
0
19 Aug 2024
Unlocking the Power of LSTM for Long Term Time Series Forecasting
Unlocking the Power of LSTM for Long Term Time Series Forecasting
Yaxuan Kong
Zepu Wang
Yuqi Nie
Tian Zhou
Stefan Zohren
Yuxuan Liang
Peng Sun
Qingsong Wen
AI4TS
22
12
0
19 Aug 2024
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's
  Disease Assessment
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease Assessment
Yihe Wang
Nadia Mammone
Darina Petrovsky
Alexandros T. Tzallas
Francesco C. Morabito
Xiang Zhang
MedIm
32
3
0
17 Aug 2024
System States Forecasting of Microservices with Dynamic Spatio-Temporal
  Data
System States Forecasting of Microservices with Dynamic Spatio-Temporal Data
Yifei Xu
Jingguo Ge
Haina Tang
Shuai Ding
Tong Li
Hui Li
AI4TS
37
0
0
15 Aug 2024
Leveraging Priors via Diffusion Bridge for Time Series Generation
Leveraging Priors via Diffusion Bridge for Time Series Generation
Jinseong Park
Seungyun Lee
Woojin Jeong
Yujin Choi
Jaewook Lee
DiffM
36
5
0
13 Aug 2024
MTSCI: A Conditional Diffusion Model for Multivariate Time Series
  Consistent Imputation
MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation
Jianping Zhou
Junhao Li
Guanjie Zheng
Xinbing Wang
Chenghu Zhou
37
2
0
11 Aug 2024
PowerPM: Foundation Model for Power Systems
PowerPM: Foundation Model for Power Systems
Shihao Tu
Yupeng Zhang
Jing Zhang
Yang Yang
AI4TS
40
5
0
07 Aug 2024
Early Prediction of Causes (not Effects) in Healthcare by Long-Term
  Clinical Time Series Forecasting
Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting
Michael Staniek
Marius Fracarolli
Michael Hagmann
Stefan Riezler
OOD
AI4TS
21
1
0
07 Aug 2024
DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for
  Long Time-Series Forecasting
DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting
Ruixin Ding
Yuqi Chen
Yu-Ting Lan
Wei Zhang
AI4TS
36
2
0
05 Aug 2024
Neural Network Emulator for Atmospheric Chemical ODE
Neural Network Emulator for Atmospheric Chemical ODE
Zhi-Song Liu
Petri S. Clusius
Michael Boy
42
3
0
03 Aug 2024
POA: Pre-training Once for Models of All Sizes
POA: Pre-training Once for Models of All Sizes
Yingying Zhang
Xin Guo
Jiangwei Lao
Lei Yu
Lixiang Ru
Jian Wang
Guo Ye
Huimei He
Jingdong Chen
Ming Yang
65
1
0
02 Aug 2024
A federated large language model for long-term time series forecasting
A federated large language model for long-term time series forecasting
Raed Abdel Sater
A. B. Hamza
AI4TS
29
2
0
30 Jul 2024
Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based
  Time Series Forecasting
Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting
Jingjing Xu
Caesar Wu
Yuan-Fang Li
Grégoire Danoy
Pascal Bouvry
AI4TS
37
1
0
29 Jul 2024
Multiscale Representation Enhanced Temporal Flow Fusion Model for
  Long-Term Workload Forecasting
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
Appformer: A Novel Framework for Mobile App Usage Prediction Leveraging
  Progressive Multi-Modal Data Fusion and Feature Extraction
Appformer: A Novel Framework for Mobile App Usage Prediction Leveraging Progressive Multi-Modal Data Fusion and Feature Extraction
Chuike Sun
Junzhou Chen
Yue Zhao
Hao Han
Ruihai Jing
Guang Tan
Di Wu
33
2
0
28 Jul 2024
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph
  Representation Learning
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning
Xi Chen
Yun Xiong
Siwei Zhang
Jiawei Zhang
Yao Zhang
Shiyang Zhou
Xixi Wu
Mingyang Zhang
Tengfei Liu
Weiqiang Wang
AI4CE
33
1
0
26 Jul 2024
Robust and Efficient Transfer Learning via Supernet Transfer in
  Warm-started Neural Architecture Search
Robust and Efficient Transfer Learning via Supernet Transfer in Warm-started Neural Architecture Search
Prabhant Singh
Joaquin Vanschoren
AAML
OOD
37
0
0
26 Jul 2024
DAM: Towards A Foundation Model for Time Series Forecasting
DAM: Towards A Foundation Model for Time Series Forecasting
L. N. Darlow
Qiwen Deng
Ahmed Hassan
Martin Asenov
Rajkarn Singh
Artjom Joosen
Adam Barker
Amos Storkey
AI4TS
AI4CE
42
3
0
25 Jul 2024
Channel-Aware Low-Rank Adaptation in Time Series Forecasting
Channel-Aware Low-Rank Adaptation in Time Series Forecasting
Tong Nie
Yuewen Mei
Guoyang Qin
Jiangming Sun
Wei Ma
BDL
AI4TS
28
6
0
24 Jul 2024
Temporal Representation Learning for Stock Similarities and Its
  Applications in Investment Management
Temporal Representation Learning for Stock Similarities and Its Applications in Investment Management
Yoon-Jeong Hwang
Stefan Zohren
Yongjae Lee
AIFin
38
1
0
18 Jul 2024
DeepClair: Utilizing Market Forecasts for Effective Portfolio Selection
DeepClair: Utilizing Market Forecasts for Effective Portfolio Selection
Donghee Choi
Jinkyu Kim
Mogan Gim
Jinho Lee
Jaewoo Kang
36
0
0
18 Jul 2024
Long Input Sequence Network for Long Time Series Forecasting
Long Input Sequence Network for Long Time Series Forecasting
Chao Ma
Yikai Hou
Xiang Li
Yinggang Sun
Haining Yu
AI4TS
29
0
0
18 Jul 2024
Robust Multivariate Time Series Forecasting against Intra- and
  Inter-Series Transitional Shift
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift
Hui He
Qi Zhang
Kun Yi
Xiaojun Xue
Shoujin Wang
Liang Hu
Longbin Cao
OOD
AI4TS
63
0
0
18 Jul 2024
Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of
  Frequencies in Time-Series Forecasting
Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting
Xingyu Zhang
Siyu Zhao
Changwen Zheng
Huijie Guo
Jianqi Zhang
Changwen Zheng
Jingyao Wang
AI4TS
32
4
0
17 Jul 2024
Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble
  Multi-Scenario Bi-GRU Networks
Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble Multi-Scenario Bi-GRU Networks
Mohammed Alruqimi
L. D. Persio
OOD
16
4
0
15 Jul 2024
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