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Are Transformers Effective for Time Series Forecasting?

Are Transformers Effective for Time Series Forecasting?

26 May 2022
Ailing Zeng
Mu-Hwa Chen
L. Zhang
Qiang Xu
    AI4TS
ArXivPDFHTML

Papers citing "Are Transformers Effective for Time Series Forecasting?"

50 / 546 papers shown
Title
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series
  Forecasting
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting
Nannan Bian
Minhong Zhu
Li Chen
Weiran Cai
25
0
0
06 May 2024
TimeMIL: Advancing Multivariate Time Series Classification via a
  Time-aware Multiple Instance Learning
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
Xiwen Chen
Peijie Qiu
Wenhui Zhu
Huayu Li
Hao Wang
Aristeidis Sotiras
Yalin Wang
Abolfazl Razi
AI4TS
37
7
0
06 May 2024
Millimeter Wave Radar-based Human Activity Recognition for Healthcare
  Monitoring Robot
Millimeter Wave Radar-based Human Activity Recognition for Healthcare Monitoring Robot
Zhanzhong Gu
Xiangjian He
Gengfa Fang
Chengpei Xu
Feng Xia
Wenjing Jia
49
3
0
03 May 2024
Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey
Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey
Chen Shao
Elias Giacoumidis
Syed Moktacim Billah
Shi Li
Jialei Li
Prashasti Sahu
Andre Richter
Tobias Kaefer
Michael Faerber
AI4TS
40
0
0
02 May 2024
Leverage Multi-source Traffic Demand Data Fusion with Transformer Model
  for Urban Parking Prediction
Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction
Yin Huang
Yongqi Dong
Youhua Tang
Li Li
18
1
0
02 May 2024
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters
Shengsheng Lin
Weiwei Lin
Wentai Wu
Haojun Chen
Junjie Yang
42
37
0
02 May 2024
DAM: A Universal Dual Attention Mechanism for Multimodal Timeseries
  Cryptocurrency Trend Forecasting
DAM: A Universal Dual Attention Mechanism for Multimodal Timeseries Cryptocurrency Trend Forecasting
Yihang Fu
Mingyu Zhou
Luyao Zhang
AI4TS
26
6
0
01 May 2024
Data Augmentation Policy Search for Long-Term Forecasting
Data Augmentation Policy Search for Long-Term Forecasting
Liran Nochumsohn
Omri Azencot
AI4TS
TPM
46
3
0
01 May 2024
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction
Zhanwei Zhang
Zishuo Hua
Minghao Chen
Wei Lu
Binbin Lin
Deng Cai
Wenxiao Wang
47
1
0
30 Apr 2024
CVTN: Cross Variable and Temporal Integration for Time Series
  Forecasting
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting
Han Zhou
Yuntian Chen
AI4TS
40
0
0
29 Apr 2024
Evaluating the effectiveness of predicting covariates in LSTM Networks
  for Time Series Forecasting
Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting
Gareth Davies
AI4TS
35
1
0
29 Apr 2024
Energy Storage Arbitrage in Two-settlement Markets: A Transformer-Based
  Approach
Energy Storage Arbitrage in Two-settlement Markets: A Transformer-Based Approach
Saud Alghumayjan
Jiajun Han
Ningkun Zheng
Ming Yi
Bolun Xu
38
1
0
26 Apr 2024
Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data
Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data
C. Symeonidis
N. Nikolaidis
36
0
0
26 Apr 2024
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting
Aobo Liang
Xingguo Jiang
Y. Sun
Xiaohou Shi
Ke Li
AI4TS
Mamba
26
5
0
24 Apr 2024
Probabilistic forecasting of power system imbalance using neural network-based ensembles
Jonas Van Gompel
Bert Claessens
Chris Develder
38
1
0
23 Apr 2024
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core
  Fusion
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
Lu Han
Xu-Yang Chen
Han-Jia Ye
De-Chuan Zhan
AI4TS
38
24
0
22 Apr 2024
Variational quantization for state space models
Variational quantization for state space models
Etienne David
Jean Bellot
Sylvain Le Corff
AI4TS
BDL
33
1
0
17 Apr 2024
Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A
  Patch and Transformer-Based Approach
Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach
Qiuyi Hong
Fanlin Meng
Felipe Maldonado
AI4TS
28
1
0
16 Apr 2024
TSLANet: Rethinking Transformers for Time Series Representation Learning
TSLANet: Rethinking Transformers for Time Series Representation Learning
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
Xiaoli Li
AI4TS
AIFin
36
37
0
12 Apr 2024
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time
  Series Forecasting
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
Hengyu Ye
Jiadong Chen
Shijin Gong
Fuxin Jiang
Tieying Zhang
Jianjun Chen
Xiaofeng Gao
AI4TS
37
3
0
08 Apr 2024
Transformer meets wcDTW to improve real-time battery bids: A new
  approach to scenario selection
Transformer meets wcDTW to improve real-time battery bids: A new approach to scenario selection
Sujal Bhavsar
Vera Zaychik Moffitt
Justin Appleby
20
0
0
02 Apr 2024
From Similarity to Superiority: Channel Clustering for Time Series
  Forecasting
From Similarity to Superiority: Channel Clustering for Time Series Forecasting
Jialin Chen
J. E. Lenssen
Aosong Feng
Weihua Hu
Matthias Fey
Leandros Tassiulas
J. Leskovec
Rex Ying
AI4TS
34
10
0
31 Mar 2024
TFB: Towards Comprehensive and Fair Benchmarking of Time Series
  Forecasting Methods
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Xiangfei Qiu
Jilin Hu
Lekui Zhou
Xingjian Wu
Junyang Du
...
Chenjuan Guo
Aoying Zhou
Christian S. Jensen
Zhenli Sheng
Bin Yang
AI4TS
57
64
0
29 Mar 2024
IIP-Mixer:Intra-Inter Patch Mixing Architecture for Battery Remaining
  Useful Life Prediction
IIP-Mixer:Intra-Inter Patch Mixing Architecture for Battery Remaining Useful Life Prediction
G. Ye
Li Feng
Jianlan Guo
Yuqiang Chen
KELM
35
0
0
27 Mar 2024
Heracles: A Hybrid SSM-Transformer Model for High-Resolution Image and
  Time-Series Analysis
Heracles: A Hybrid SSM-Transformer Model for High-Resolution Image and Time-Series Analysis
Badri N. Patro
Suhas Ranganath
Vinay P. Namboodiri
Vijay Srinivas Agneeswaran
43
2
0
26 Mar 2024
D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time
  Series Forecasting
D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting
Xiaobing Yuan
Ling Chen
AI4TS
43
0
0
26 Mar 2024
A Transformer approach for Electricity Price Forecasting
A Transformer approach for Electricity Price Forecasting
Oscar Llorente
Jose Portela
21
0
0
24 Mar 2024
SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate
  Time series
SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series
Badri N. Patro
Vijay Srinivas Agneeswaran
Mamba
59
50
0
22 Mar 2024
Simple Graph Condensation
Simple Graph Condensation
Zhenbang Xiao
Yu Wang
Shunyu Liu
Huiqiong Wang
Mingli Song
Tongya Zheng
DD
69
7
0
22 Mar 2024
Unifying Lane-Level Traffic Prediction from a Graph Structural
  Perspective: Benchmark and Baseline
Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baseline
Shuhao Li
Yue Cui
Jingyi Xu
Libin Li
Lingkai Meng
Weidong Yang
Fan Zhang
Xiaofang Zhou
AI4TS
27
1
0
22 Mar 2024
An Analysis of Linear Time Series Forecasting Models
An Analysis of Linear Time Series Forecasting Models
William Toner
Luke Darlow
AI4TS
45
23
0
21 Mar 2024
Is Mamba Effective for Time Series Forecasting?
Is Mamba Effective for Time Series Forecasting?
Zihan Wang
Fanheng Kong
Shi Feng
Ming Wang
Xiaocui Yang
Han Zhao
Daling Wang
Yifei Zhang
Mamba
AI4TS
32
56
0
17 Mar 2024
Rough Transformers for Continuous and Efficient Time-Series Modelling
Rough Transformers for Continuous and Efficient Time-Series Modelling
Fernando Moreno-Pino
Alvaro Arroyo
H. Waldon
Xiaowen Dong
Álvaro Cartea
AI4TS
MedIm
36
5
0
15 Mar 2024
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
Md Atik Ahamed
Qiang Cheng
Mamba
AI4TS
69
47
0
14 Mar 2024
Deep Limit Order Book Forecasting
Deep Limit Order Book Forecasting
Antonio Briola
Silvia Bartolucci
T. Aste
43
3
0
14 Mar 2024
MCformer: Multivariate Time Series Forecasting with Mixed-Channels
  Transformer
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer
Wenyong Han
Tao Zhu
L. Chen
Huansheng Ning
Yang Luo
Yaping Wan
AI4TS
35
9
0
14 Mar 2024
Caformer: Rethinking Time Series Analysis from Causal Perspective
Caformer: Rethinking Time Series Analysis from Causal Perspective
Kexuan Zhang
Xiaobei Zou
Yang Tang
AI4TS
37
1
0
13 Mar 2024
P2LHAP:Wearable sensor-based human activity recognition, segmentation
  and forecast through Patch-to-Label Seq2Seq Transformer
P2LHAP:Wearable sensor-based human activity recognition, segmentation and forecast through Patch-to-Label Seq2Seq Transformer
Shuangjian Li
Tao Zhu
Mingxing Nie
Huansheng Ning
Zhenyu Liu
L. Chen
AI4TS
33
0
0
13 Mar 2024
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
Peiyuan Liu
Hang Guo
Tao Dai
Naiqi Li
Jigang Bao
Xudong Ren
Yong Jiang
Shu-Tao Xia
AI4TS
70
17
0
12 Mar 2024
$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM
  for Time Series Forecasting
S2\textbf{S}^2S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
Zijie Pan
Yushan Jiang
Sahil Garg
Anderson Schneider
Yuriy Nevmyvaka
Dongjin Song
AI4TS
55
6
0
09 Mar 2024
tsGT: Stochastic Time Series Modeling With Transformer
tsGT: Stochastic Time Series Modeling With Transformer
Lukasz Kuciñski
Witold Drzewakowski
Mateusz Olko
Piotr Kozakowski
Lukasz Maziarka
Marta Emilia Nowakowska
Lukasz Kaiser
Piotr Milo's
49
1
0
08 Mar 2024
Efficient High-Resolution Time Series Classification via Attention
  Kronecker Decomposition
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition
Aosong Feng
Jialin Chen
Juan Garza
Brooklyn Berry
Francisco Salazar
Yifeng Gao
Rex Ying
Leandros Tassiulas
46
1
0
07 Mar 2024
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting
Kiran Madhusudhanan
Shayan Jawed
Lars Schmidt-Thieme
BDL
AI4TS
44
0
0
07 Mar 2024
Edge-based Parametric Digital Twins for Intelligent Building Indoor
  Climate Modeling
Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling
Zhongjun Ni
Chi Zhang
M. Karlsson
Shaofang Gong
AI4CE
28
0
0
07 Mar 2024
Temporal Cross-Attention for Dynamic Embedding and Tokenization of
  Multimodal Electronic Health Records
Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records
Yingbo Ma
Suraj Kolla
Dhruv Kaliraman
Victoria Nolan
Zhenhong Hu
...
T. Ozrazgat-Baslanti
Tyler J. Loftus
Parisa Rashidi
A. Bihorac
B. Shickel
AI4TS
32
1
0
06 Mar 2024
Quantum Mixed-State Self-Attention Network
Quantum Mixed-State Self-Attention Network
Fu Chen
Qinglin Zhao
Li Feng
Chuangtao Chen
Yangbin Lin
Jianhong Lin
47
5
0
05 Mar 2024
InjectTST: A Transformer Method of Injecting Global Information into
  Independent Channels for Long Time Series Forecasting
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting
Ce Chi
Xing Wang
Kexin Yang
Zhiyan Song
Di Jin
Lin Zhu
Chao Deng
Junlan Feng
AI4TS
40
0
0
05 Mar 2024
Towards Foundation Time Series Model: To Synthesize Or Not To
  Synthesize?
Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize?
Kseniia Kuvshinova
Olga Tsymboi
Alina Kostromina
Dmitry Simakov
Elizaveta Kovtun
AI4TS
29
2
0
04 Mar 2024
CATS: Enhancing Multivariate Time Series Forecasting by Constructing
  Auxiliary Time Series as Exogenous Variables
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
Jiecheng Lu
Xu Han
Yan Sun
Shihao Yang
AI4TS
46
16
0
04 Mar 2024
Day-ahead regional solar power forecasting with hierarchical temporal
  convolutional neural networks using historical power generation and weather
  data
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data
M. Perera
J. Hoog
Kasun Bandara
Damith A. Senanayake
Saman K. Halgamuge
AI4TS
27
16
0
04 Mar 2024
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