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Are Transformers Effective for Time Series Forecasting?
v1v2v3 (latest)

Are Transformers Effective for Time Series Forecasting?

AAAI Conference on Artificial Intelligence (AAAI), 2022
26 May 2022
Ailing Zeng
Mu-Hwa Chen
L. Zhang
Qiang Xu
    AI4TS
ArXiv (abs)PDFHTMLGithub (2219★)

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

50 / 479 papers shown
Title
FlightPatchNet: Multi-Scale Patch Network with Differential Coding for Flight Trajectory Prediction
FlightPatchNet: Multi-Scale Patch Network with Differential Coding for Flight Trajectory Prediction
Lan Wu
Xuebin Wang
Ruijuan Chu
Guangyi Liu
Jing Zhang
Jing Zhang
206
0
0
25 May 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards
  Weather Foundation Models
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models
Shengchao Chen
Guodong Long
Jing Jiang
Chengqi Zhang
188
11
0
24 May 2024
Scaling Law for Time Series Forecasting
Scaling Law for Time Series Forecasting
Jingzhe Shi
Qinwei Ma
Huan Ma
Lei Li
AI4TS
291
20
0
24 May 2024
MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs
MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs
Georgios Chatzigeorgakidis
Konstantinos Lentzos
Dimitrios Skoutas
AI4TS
157
12
0
23 May 2024
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time
  Series Forecasting
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series ForecastingNeural Information Processing Systems (NeurIPS), 2024
Qingxiang Liu
Xu Liu
Chenghao Liu
Qingsong Wen
Yuxuan Liang
AI4TSAI4CE
225
19
0
23 May 2024
Leveraging 2D Information for Long-term Time Series Forecasting with
  Vanilla Transformers
Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers
Xin Cheng
Preslav Nakov
Shuqi Li
Di Luo
Xun Wang
Dongyan Zhao
Rui Yan
AI4TS
177
4
0
22 May 2024
FAITH: Frequency-domain Attention In Two Horizons for Time Series
  Forecasting
FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting
Ruiqi Li
Maowei Jiang
Kai-Ming Wang
Kaiduo Feng
Quangao Liu
Yue Sun
Xiufang Zhou
AI4TS
223
5
0
22 May 2024
Adaptive Convolutional Forecasting Network Based on Time Series
  Feature-Driven
Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven
Dandan Zhang
Zhiqiang Zhang
Nanguang Chen
Yun Wang
AI4TS
283
1
0
20 May 2024
WEITS: A Wavelet-enhanced residual framework for interpretable time
  series forecasting
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting
Ziyou Guo
Yan Sun
Tieru Wu
AI4TS
158
4
0
17 May 2024
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis
Han Yu
Peikun Guo
Akane Sano
AI4TS
182
5
0
17 May 2024
Enhancing Maritime Trajectory Forecasting via H3 Index and Causal
  Language Modelling (CLM)
Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)
Nicolas Drapier
Aladine Chetouani
A. Chateigner
110
5
0
15 May 2024
DGCformer: Deep Graph Clustering Transformer for Multivariate Time
  Series Forecasting
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting
Qinshuo Liu
Yanwen Fang
Pengtao Jiang
Guodong Li
AI4TS
164
0
0
14 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
229
4
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
70
4
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
265
114
0
02 May 2024
Data Augmentation Policy Search for Long-Term Forecasting
Data Augmentation Policy Search for Long-Term Forecasting
Liran Nochumsohn
Omri Azencot
AI4TSTPM
402
6
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
238
4
0
30 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
190
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
103
4
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
189
4
0
26 Apr 2024
Variational quantization for state space models
Variational quantization for state space models
Etienne David
Jean Bellot
Sylvain Le Corff
AI4TSBDL
160
1
0
17 Apr 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
610
190
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
116
2
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
239
4
0
26 Mar 2024
A Transformer approach for Electricity Price Forecasting
A Transformer approach for Electricity Price Forecasting
Oscar Llorente
Jose Portela
145
1
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
274
65
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 BaselineIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Shuhao Li
Yue Cui
Jingyi Xu
Libin Li
Lingkai Meng
Weidong Yang
Fan Zhang
Xiaofang Zhou
AI4TS
158
3
0
22 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 TransformerIEEE Internet of Things Journal (IEEE IoT J.), 2024
Shuangjian Li
Tao Zhu
Mingxing Nie
Huansheng Ning
Zhenyu Liu
L. Chen
AI4TS
130
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-TuningAAAI Conference on Artificial Intelligence (AAAI), 2024
Peiyuan Liu
Hang Guo
Tao Dai
Naiqi Li
Jigang Bao
Xudong Ren
Yong Jiang
Shu-Tao Xia
AI4TS
334
76
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 ForecastingInternational Conference on Machine Learning (ICML), 2024
Zijie Pan
Yushan Jiang
Sahil Garg
Anderson Schneider
Yuriy Nevmyvaka
Dongjin Song
AI4TS
290
14
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
154
2
0
08 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
122
4
0
07 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
170
3
0
04 Mar 2024
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for
  Multivariate Time Series Analysis
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis
Mingyue Cheng
Jiqian Yang
Tingyue Pan
Qi Liu
Zhi Li
AI4TS
166
33
0
03 Mar 2024
Enhancing Multivariate Time Series Forecasting with Mutual
  Information-driven Cross-Variable and Temporal Modeling
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling
Shiyi Qi
Liangjiang Wen
Yiduo Li
Yuanhang Yang
Zhe Li
Zhongwen Rao
Lujia Pan
Zenglin Xu
AI4TS
142
4
0
01 Mar 2024
UNITS: A Unified Multi-Task Time Series Model
UNITS: A Unified Multi-Task Time Series Model
Shanghua Gao
Teddy Koker
Owen Queen
Thomas Hartvigsen
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
341
58
0
29 Feb 2024
Generative Pretrained Hierarchical Transformer for Time Series
  Forecasting
Generative Pretrained Hierarchical Transformer for Time Series Forecasting
Zhiding Liu
Jiqian Yang
Mingyue Cheng
Yucong Luo
Zhi Li
AI4TS
159
36
0
26 Feb 2024
E2USD: Efficient-yet-effective Unsupervised State Detection for
  Multivariate Time Series
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
Zhichen Lai
Huan Li
Dalin Zhang
Yan Zhao
Weizhu Qian
Christian S. Jensen
AI4TS
345
15
0
21 Feb 2024
Loss Shaping Constraints for Long-Term Time Series Forecasting
Loss Shaping Constraints for Long-Term Time Series Forecasting
Ignacio Hounie
Javier Porras-Valenzuela
Alejandro Ribeiro
AI4TS
207
1
0
14 Feb 2024
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot
  Multivariate Time Series Forecasting through Next Curve Shape Prediction
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction
Cheng Feng
Long Huang
Denis Krompass
AI4TS
288
9
0
12 Feb 2024
TransGPT: Multi-modal Generative Pre-trained Transformer for
  Transportation
TransGPT: Multi-modal Generative Pre-trained Transformer for Transportation
Peng Wang
Xiang Wei
Fangxu Hu
Wenjuan Han
200
29
0
11 Feb 2024
Attention as Robust Representation for Time Series Forecasting
Attention as Robust Representation for Time Series Forecasting
Peisong Niu
Tian Zhou
Qingsong Wen
Liang Sun
Rong Jin
AI4TS
103
6
0
08 Feb 2024
AutoTimes: Autoregressive Time Series Forecasters via Large Language
  Models
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
Yong Liu
Guo Qin
Xiangdong Huang
Jianmin Wang
Mingsheng Long
AI4TS
201
62
0
04 Feb 2024
A Novel Hyperdimensional Computing Framework for Online Time Series
  Forecasting on the Edge
A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge
Mohamed Mejri
C. Amarnath
Abhijit Chatterjee
AI4TS
154
7
0
03 Feb 2024
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic
  Forecasting
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting
Zhanyu Liu
Guanjie Zheng
Yanwei Yu
AI4TS
305
9
0
01 Feb 2024
Rethinking Channel Dependence for Multivariate Time Series Forecasting:
  Learning from Leading Indicators
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
Lifan Zhao
Yanyan Shen
AI4TSAIFin
263
34
0
31 Jan 2024
Automatically Detecting Confusion and Conflict During Collaborative
  Learning Using Linguistic, Prosodic, and Facial Cues
Automatically Detecting Confusion and Conflict During Collaborative Learning Using Linguistic, Prosodic, and Facial Cues
Yingbo Ma
Yukyeong Song
Mehmet Celepkolu
K. Boyer
Eric Wiebe
Collin F. Lynch
Maya Israel
168
5
0
26 Jan 2024
Comparing Data-Driven and Mechanistic Models for Predicting Phenology in
  Deciduous Broadleaf Forests
Comparing Data-Driven and Mechanistic Models for Predicting Phenology in Deciduous Broadleaf Forests
Christian Reimers
David Hafezi Rachti
Guahua Liu
Alexander J Winkler
AI4CE
72
0
0
08 Jan 2024
Learning the Dynamic Correlations and Mitigating Noise by Hierarchical
  Convolution for Long-term Sequence Forecasting
Learning the Dynamic Correlations and Mitigating Noise by Hierarchical Convolution for Long-term Sequence Forecasting
Zhihao Yu
Liantao Ma
Yasha Wang
Junfeng Zhao
AI4TS
171
0
0
28 Dec 2023
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
Ronghao Ni
Zinan Lin
Shuaiqi Wang
Giulia Fanti
AI4TS
194
37
0
11 Dec 2023
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