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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
WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series
  Forecasting
WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series Forecasting
Aobo Liang
Y. Sun
Nadra Guizani
AI4TS
34
1
0
30 Oct 2024
Temporal Streaming Batch Principal Component Analysis for Time Series
  Classification
Temporal Streaming Batch Principal Component Analysis for Time Series Classification
Enshuo Yan
Huachuan Wang
Weihao Xia
30
0
0
28 Oct 2024
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World Modelling
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
151
0
0
28 Oct 2024
TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time
  Series Forecasting
TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting
Linghang Kong
Elynn Chen
Yuzhou Chen
Yuefeng Han
AI4TS
38
0
0
27 Oct 2024
Deconfounding Time Series Forecasting
Deconfounding Time Series Forecasting
Wentao Gao
Feiyu Yang
Mengze Hong
Xiaojing Du
Zechen Hu
Xiongren Chen
Ziqi Xu
CML
BDL
AI4TS
29
0
0
27 Oct 2024
Utilizing Image Transforms and Diffusion Models for Generative Modeling
  of Short and Long Time Series
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series
Ilan Naiman
Nimrod Berman
Itai Pemper
Idan Arbiv
Gal Fadlon
Omri Azencot
32
11
0
25 Oct 2024
Retrieval-Augmented Diffusion Models for Time Series Forecasting
Retrieval-Augmented Diffusion Models for Time Series Forecasting
Jingwei Liu
Ling Yang
Hongyan Li
Shenda Hong
DiffM
AI4TS
31
4
0
24 Oct 2024
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar
  Memories
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
Maurice Kraus
Felix Divo
Devendra Singh Dhami
Kristian Kersting
AI4TS
41
2
0
22 Oct 2024
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
Guoqi Yu
Yaoming Li
Xiaoyu Guo
Dayu Wang
Zirui Liu
Shujun Wang
Tong Yang
AI4TS
135
0
0
22 Oct 2024
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
Can Chen
Gabriel Oliveira
Hossein Sharifi-Noghabi
Tristan Sylvain
AI4TS
26
1
0
21 Oct 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
Shiyu Wang
Jiawei Li
X. Shi
Zhou Ye
Baichuan Mo
Wenze Lin
Shengtong Ju
Zhixuan Chu
Ming Jin
AI4TS
38
9
0
21 Oct 2024
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for
  Scalable and Efficient Network-Wide Prediction of Station-Level Transit
  Ridership
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership
Jiahao Wang
Amer Shalaby
AI4TS
26
1
0
19 Oct 2024
Analyzing Deep Transformer Models for Time Series Forecasting via
  Manifold Learning
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning
Ilya Kaufman
Omri Azencot
AI4TS
31
2
0
17 Oct 2024
ArrivalNet: Predicting City-wide Bus/Tram Arrival Time with
  Two-dimensional Temporal Variation Modeling
ArrivalNet: Predicting City-wide Bus/Tram Arrival Time with Two-dimensional Temporal Variation Modeling
Zirui Li
Patrick Wolf
Meng Wang
AI4TS
21
0
0
17 Oct 2024
DiffImp: Efficient Diffusion Model for Probabilistic Time Series
  Imputation with Bidirectional Mamba Backbone
DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone
Hongfan Gao
Wangmeng Shen
Xiangfei Qiu
Ronghui Xu
Jilin Hu
Bin Yang
27
5
0
17 Oct 2024
Hiformer: Hybrid Frequency Feature Enhancement Inverted Transformer for
  Long-Term Wind Power Prediction
Hiformer: Hybrid Frequency Feature Enhancement Inverted Transformer for Long-Term Wind Power Prediction
Chongyang Wan
Shunbo Lei
Yuan Luo
21
0
0
17 Oct 2024
Revisited Large Language Model for Time Series Analysis through Modality
  Alignment
Revisited Large Language Model for Time Series Analysis through Modality Alignment
L. Zheng
Chang Dong
W. Zhang
Lin Yue
Miao Xu
Olaf Maennel
Weitong Chen
AI4TS
142
2
0
16 Oct 2024
Abnormality Forecasting: Time Series Anomaly Prediction via Future
  Context Modeling
Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling
Sinong Zhao
Wenrui Wang
Hongzuo Xu
Zhaoyang Yu
Qingsong Wen
Gang Wang
Xiaoguang Liu
Guansong Pang
AI4TS
28
0
0
16 Oct 2024
ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series
  Prediction
ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction
Kshitij Tayal
Arvind Renganathan
Xiaowei Jia
Vipin Kumar
Dan Lu
AI4TS
24
1
0
16 Oct 2024
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for
  Time Series Forecasting
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting
Zhe Li
Xiangfei Qiu
Peng Chen
Yihang Wang
Hanyin Cheng
...
Chenjuan Guo
Aoying Zhou
Qingsong Wen
Christian S. Jensen
Bin Yang
AI4TS
59
8
0
15 Oct 2024
LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting
LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting
Md. Kowsher
Md. Shohanur Islam Sobuj
Nusrat Jahan Prottasha
E. Alejandro Alanis
O. Garibay
Niloofar Yousefi
AI4TS
29
0
0
15 Oct 2024
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting
  Method Using Mamba
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba
Li Wu
Wenbin Pei
Jiulong Jiao
Qiang Zhang
Mamba
AI4TS
38
2
0
15 Oct 2024
Time Series Viewmakers for Robust Disruption Prediction
Time Series Viewmakers for Robust Disruption Prediction
Dhruva Chayapathy
Tavis Siebert
Lucas Spangher
Akshata Kishore Moharir
Om Manoj Patil
Cristina Rea
28
0
0
14 Oct 2024
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture
  of Experts
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
Xu Liu
Juncheng Liu
Gerald Woo
Taha Aksu
Yuxuan Liang
Roger Zimmermann
Chenghao Liu
Silvio Savarese
Caiming Xiong
Doyen Sahoo
AI4TS
33
11
0
14 Oct 2024
Learning Pattern-Specific Experts for Time Series Forecasting Under
  Patch-level Distribution Shift
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift
Yanru Sun
Zongxia Xie
Emadeldeen Eldele
Dongyue Chen
Q. Hu
Min-man Wu
AI4TS
28
1
0
13 Oct 2024
Towards Generalisable Time Series Understanding Across Domains
Towards Generalisable Time Series Understanding Across Domains
Özgün Turgut
Philip Muller
M. Menten
Daniel Rueckert
AI4TS
48
1
0
09 Oct 2024
Toward Physics-guided Time Series Embedding
Toward Physics-guided Time Series Embedding
Jiaxi Hu
Bowen Zhang
Qingsong Wen
Fugee Tsung
Yuxuan Liang
AI4TS
AI4CE
34
3
0
09 Oct 2024
Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time
  Series Classification
Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time Series Classification
Xavier Mootoo
Alan A. Díaz-Montiel
Milad Lankarany
Hina Tabassum
AI4TS
30
0
0
08 Oct 2024
SwiftQueue: Optimizing Low-Latency Applications with Swift Packet
  Queuing
SwiftQueue: Optimizing Low-Latency Applications with Swift Packet Queuing
Siddhant Ray
Xi Jiang
Jack Luo
Nick Feamster
Junchen Jiang
49
0
0
08 Oct 2024
Enforcing Interpretability in Time Series Transformers: A Concept
  Bottleneck Framework
Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Framework
Angela van Sprang
Erman Acar
Willem Zuidema
AI4TS
51
1
0
08 Oct 2024
Neural Fourier Modelling: A Highly Compact Approach to Time-Series
  Analysis
Neural Fourier Modelling: A Highly Compact Approach to Time-Series Analysis
Minjung Kim
Yusuke Hioka
Michael Witbrock
AI4TS
32
0
0
07 Oct 2024
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
Yong Liu
Guo Qin
Xiangdong Huang
Jianmin Wang
Mingsheng Long
AI4TS
29
6
0
07 Oct 2024
Automated Detection of Defects on Metal Surfaces using Vision
  Transformers
Automated Detection of Defects on Metal Surfaces using Vision Transformers
Toqa Alaa
Mostafa Kotb
Arwa Zakaria
Mariam Diab
Walid Gomaa
23
1
0
06 Oct 2024
Multi-Step Time Series Inference Agent for Reasoning and Automated Task Execution
Multi-Step Time Series Inference Agent for Reasoning and Automated Task Execution
Wen Ye
Yizhou Zhang
Wei Yang
Lumingyuan Tang
Defu Cao
Jie Cai
Yan Liu
BDL
CoGe
AI4TS
41
2
0
05 Oct 2024
Metadata Matters for Time Series: Informative Forecasting with
  Transformers
Metadata Matters for Time Series: Informative Forecasting with Transformers
Jiaxiang Dong
Haixu Wu
Yuxuan Wang
Li Zhang
Jianmin Wang
Mingsheng Long
AI4TS
26
0
0
04 Oct 2024
Enhanced Transformer architecture for in-context learning of dynamical
  systems
Enhanced Transformer architecture for in-context learning of dynamical systems
Matteo Rufolo
Dario Piga
Gabriele Maroni
Marco Forgione
31
0
0
04 Oct 2024
Learning K-U-Net with constant complexity: An Application to time series
  forecasting
Learning K-U-Net with constant complexity: An Application to time series forecasting
Jiang You
A. Çela
René Natowicz
Jacob Ouanounou
Patrick Siarry
AI4TS
25
0
0
03 Oct 2024
Channel-aware Contrastive Conditional Diffusion for Multivariate
  Probabilistic Time Series Forecasting
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting
Siyang Li
Yize Chen
Hui Xiong
DiffM
AI4TS
33
0
0
03 Oct 2024
TrajGPT: Irregular Time-Series Representation Learning for Health
  Trajectory Analysis
TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis
Ziyang Song
Qingcheng Lu
He Zhu
David L. Buckeridge
Yue Li
AI4TS
27
0
0
03 Oct 2024
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices
Yuka Hashimoto
Tomoharu Iwata
25
0
0
03 Oct 2024
Repurposing Foundation Model for Generalizable Medical Time Series Classification
Repurposing Foundation Model for Generalizable Medical Time Series Classification
Nan Huang
Haishuai Wang
Zihuai He
Marinka Zitnik
Xiang Zhang
AI4TS
OOD
28
1
0
03 Oct 2024
FAN: Fourier Analysis Networks
FAN: Fourier Analysis Networks
Yihong Dong
Ge Li
Yongding Tao
Xue Jiang
Kechi Zhang
Jia Li
Jing Su
Jing Su
Jun Zhang
Jingjing Xu
AI4TS
21
4
0
03 Oct 2024
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting
  with 0.1K Parameters
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters
Aitian Ma
Dongsheng Luo
Mo Sha
AI4TS
44
1
0
02 Oct 2024
MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate
  Time Series Forecasting
MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting
Aitian Ma
Dongsheng Luo
Mo Sha
AI4TS
25
0
0
02 Oct 2024
FredNormer: Frequency Domain Normalization for Non-stationary Time
  Series Forecasting
FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting
Xihao Piao
Zheng Chen
Yushun Dong
Yasuko Matsubara
Yasushi Sakurai
OOD
AI4TS
23
0
0
02 Oct 2024
Frequency Adaptive Normalization For Non-stationary Time Series
  Forecasting
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
Weiwei Ye
Songgaojun Deng
Qiaosha Zou
Ning Gui
AI4TS
36
8
0
30 Sep 2024
A SSM is Polymerized from Multivariate Time Series
A SSM is Polymerized from Multivariate Time Series
Haixiang Wu
AI4TS
23
0
0
30 Sep 2024
Continuous-Time Linear Positional Embedding for Irregular Time Series
  Forecasting
Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting
Byunghyun Kim
Jae-Gil Lee
AI4TS
23
0
0
30 Sep 2024
CycleCrash: A Dataset of Bicycle Collision Videos for Collision
  Prediction and Analysis
CycleCrash: A Dataset of Bicycle Collision Videos for Collision Prediction and Analysis
Nishq Poorav Desai
Ali Etemad
Michael A. Greenspan
40
0
0
30 Sep 2024
Evolving Multi-Scale Normalization for Time Series Forecasting under
  Distribution Shifts
Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts
Dalin Qin
Yehui Li
Weiqi Chen
Zhaoyang Zhu
Qingsong Wen
Liang Sun
Pierre Pinson
Yi Wang
AI4TS
21
0
0
29 Sep 2024
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