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ETSformer: Exponential Smoothing Transformers for Time-series
  Forecasting

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

3 February 2022
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
S. Hoi
    AI4TS
ArXivPDFHTML

Papers citing "ETSformer: Exponential Smoothing Transformers for Time-series Forecasting"

30 / 30 papers shown
Title
Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism
Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism
Yuqi Xiong
Yang Wen
AI4TS
31
0
0
11 May 2025
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
Robert Leppich
Michael Stenger
Daniel Grillmeyer
Vanessa Borst
Samuel Kounev
AI4TS
AI4CE
69
0
0
26 Apr 2025
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network
Ziran Liang
Rui An
Wenqi Fan
Yanghui Rao
Yuxuan Liang
AI4TS
50
0
0
23 Apr 2025
Pets: General Pattern Assisted Architecture For Time Series Analysis
Pets: General Pattern Assisted Architecture For Time Series Analysis
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
AI4TS
32
0
0
19 Apr 2025
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting
Sanjay Chakraborty
Fredrik Heintz
AI4TS
AIFin
49
0
0
31 Mar 2025
Strada-LLM: Graph LLM for traffic prediction
Strada-LLM: Graph LLM for traffic prediction
Seyed Mohamad Moghadas
Yangxintong Lyu
Bruno Cornelis
Alexandre Alahi
Adrian Munteanu
AI4TS
63
0
0
17 Feb 2025
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Weilin Ruan
Siru Zhong
Haomin Wen
Yuxuan Liang
AI4TS
79
1
0
16 Feb 2025
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
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
TwinS: Revisiting Non-Stationarity in Multivariate Time Series
  Forecasting
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting
Jiaxi Hu
Qingsong Wen
Sijie Ruan
Li Liu
Yuxuan Liang
AI4TS
36
5
0
06 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
Md. Atik Ahamed
Qiang Cheng
Mamba
66
1
0
06 Jun 2024
Transformers with Attentive Federated Aggregation for Time Series Stock
  Forecasting
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting
Chu Myaet Thwal
Ye Lin Tun
Kitae Kim
Seong-Bae Park
Choong Seon Hong
AI4TS
AIFin
27
5
0
22 Jan 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series
  Tasks
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
Haowen Hou
F. Richard Yu
AI4TS
35
20
0
17 Jan 2024
SISMIK for brain MRI: Deep-learning-based motion estimation and
  model-based motion correction in k-space
SISMIK for brain MRI: Deep-learning-based motion estimation and model-based motion correction in k-space
Oscar Dabrowski
J. Falcone
A. Klauser
J. Songeon
Michel Kocher
B. Chopard
François Lazeyras
S. Courvoisier
MedIm
24
1
0
20 Dec 2023
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series
  Forecasting
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
Xu Liu
Junfeng Hu
Yuan N. Li
Shizhe Diao
Yuxuan Liang
Bryan Hooi
Roger Zimmermann
AI4TS
27
76
0
15 Oct 2023
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series
  Forecasting
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
Defu Cao
Furong Jia
Sercan Ö. Arik
Tomas Pfister
Yixiang Zheng
Wen Ye
Yan Liu
AI4TS
35
123
0
08 Oct 2023
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Ming Jin
Shiyu Wang
Lintao Ma
Zhixuan Chu
James Y. Zhang
...
Pin-Yu Chen
Yuxuan Liang
Yuan-Fang Li
Shirui Pan
Qingsong Wen
AI4TS
38
354
0
03 Oct 2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for
  Time Series
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
Chenxi Sun
Hongyan Li
Yaliang Li
linda Qiao
AI4TS
37
112
0
16 Aug 2023
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time
  Series Forecasting
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
Client: Cross-variable Linear Integrated Enhanced Transformer for
  Multivariate Long-Term Time Series Forecasting
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
Feature-aligned N-BEATS with Sinkhorn divergence
Feature-aligned N-BEATS with Sinkhorn divergence
Joon-Young Lee
Myeongho Jeon
Myung-joo Kang
Kyung-soon Park
AI4TS
27
0
0
24 May 2023
Revisiting Long-term Time Series Forecasting: An Investigation on Linear
  Mapping
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
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal
  and Channel Mixing
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing
Zhe Li
Zhongwen Rao
Lujia Pan
Zenglin Xu
AI4TS
33
60
0
09 Feb 2023
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
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
57
21
0
04 Feb 2023
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series
  Forecasting
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting
Jianqing Zhu
Juncai He
Lian Zhang
Jinchao Xu
26
3
0
02 Feb 2023
First De-Trend then Attend: Rethinking Attention for Time-Series
  Forecasting
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting
Xiyuan Zhang
Xiaoyong Jin
Karthick Gopalswamy
Gaurav Gupta
Youngsuk Park
Xingjian Shi
Hongya Wang
Danielle C. Maddix
Yuyang Wang
AI4TS
22
19
0
15 Dec 2022
TimesNet: Temporal 2D-Variation Modeling for General Time Series
  Analysis
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Haixu Wu
Teng Hu
Yong Liu
Hang Zhou
Jianmin Wang
Mingsheng Long
AI4TS
AIFin
60
708
0
05 Oct 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best
  Practices
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices
Hansika Hewamalage
Klaus Ackermann
Christoph Bergmeir
AI4TS
67
87
0
21 Mar 2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend
  Representations for Time Series Forecasting
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Steven C. H. Hoi
AI4TS
117
394
0
03 Feb 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
169
3,885
0
14 Dec 2020
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