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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 / 488 papers shown
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series ForecastingInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Huanyao Zhang
Jiaye Lin
Wentao Zhang
Haitao Yuan
Guoliang Li
AI4TS
122
1
0
09 Sep 2025
IBN: An Interpretable Bidirectional-Modeling Network for Multivariate Time Series Forecasting with Variable Missing
IBN: An Interpretable Bidirectional-Modeling Network for Multivariate Time Series Forecasting with Variable Missing
Shusen Ma
Tianhao Zhang
Qijiu Xia
Yun-Bo Zhao
AI4TSAI4CE
104
0
0
09 Sep 2025
Neural ARFIMA model for forecasting BRIC exchange rates with long memory under oil shocks and policy uncertainties
Neural ARFIMA model for forecasting BRIC exchange rates with long memory under oil shocks and policy uncertainties
Tanujit Chakraborty
Donia Besher
Madhurima Panja
Shovon Sengupta
65
2
0
08 Sep 2025
WindFM: An Open-Source Foundation Model for Zero-Shot Wind Power Forecasting
WindFM: An Open-Source Foundation Model for Zero-Shot Wind Power Forecasting
Hang Fan
Yu Shi
Zongliang Fu
S. Chen
Wei Wei
Wei Xu
Jian Li
AI4TS
138
0
0
08 Sep 2025
VARMA-Enhanced Transformer for Time Series Forecasting
VARMA-Enhanced Transformer for Time Series Forecasting
Jiajun Song
Xiaoou Liu
AI4TS
123
1
0
05 Sep 2025
One-Embedding-Fits-All: Efficient Zero-Shot Time Series Forecasting by a Model Zoo
One-Embedding-Fits-All: Efficient Zero-Shot Time Series Forecasting by a Model Zoo
Hao-Nan Shi
Ting Huang
Lu Han
De-Chuan Zhan
Han-Jia Ye
AI4TS
210
0
0
04 Sep 2025
Structured Basis Function Networks: Loss-Centric Multi-Hypothesis Ensembles with Controllable Diversity
Structured Basis Function Networks: Loss-Centric Multi-Hypothesis Ensembles with Controllable Diversity
Alejandro Rodriguez Dominguez
Muhammad Shahzad
Xia Hong
UQCV
149
2
0
02 Sep 2025
Text Reinforcement for Multimodal Time Series Forecasting
Text Reinforcement for Multimodal Time Series Forecasting
Chen Su
Yuanhe Tian
Yan Song
Yongdong Zhang
AI4TS
164
2
0
31 Aug 2025
Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models
Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models
Xuan Hou
Shuhan Liu
Zhaohui Peng
Yaohui Chu
Y. Zhang
Yining Wang
DiffM
120
0
0
29 Aug 2025
Filter then Attend: Improving attention-based Time Series Forecasting with Spectral Filtering
Filter then Attend: Improving attention-based Time Series Forecasting with Spectral Filtering
Elisha Dayag
Nhat Tran
Jack Xin
AI4TS
126
0
0
27 Aug 2025
FinCast: A Foundation Model for Financial Time-Series Forecasting
FinCast: A Foundation Model for Financial Time-Series Forecasting
Zhuohang Zhu
Haodong Chen
Qiang Qu
Vera Chung
AI4TSAIFin
95
2
0
27 Aug 2025
STDiff: A State Transition Diffusion Framework for Time Series Imputation in Industrial Systems
STDiff: A State Transition Diffusion Framework for Time Series Imputation in Industrial Systems
Gary Simethy
D. O. Arroyo
Petar Durdevic
DiffMAI4CE
160
0
0
26 Aug 2025
PAX-TS: Model-agnostic multi-granular explanations for time series forecasting via localized perturbations
PAX-TS: Model-agnostic multi-granular explanations for time series forecasting via localized perturbations
Tim Kreuzer
Jelena Zdravkovic
Panagiotis Papapetrou
AI4TS
171
0
0
26 Aug 2025
Frozen in Time: Parameter-Efficient Time Series Transformers via Reservoir-Induced Feature Expansion and Fixed Random Dynamics
Frozen in Time: Parameter-Efficient Time Series Transformers via Reservoir-Induced Feature Expansion and Fixed Random Dynamics
Pradeep Singh
Mehak Sharma
Anupriya Dey
Balasubramanian Raman
AI4TS
145
0
0
25 Aug 2025
Spectrum Prediction in the Fractional Fourier Domain with Adaptive Filtering
Spectrum Prediction in the Fractional Fourier Domain with Adaptive FilteringIEEE Wireless Communications Letters (WCL), 2025
Yanghao Qin
Bo Zhou
Guangliang Pan
Qihui Wu
Meixia Tao
AI4TS
80
0
0
25 Aug 2025
FLAIRR-TS -- Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series
FLAIRR-TS -- Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series
Gunjan Jalori
Preetika Verma
Sercan Ö Arık
AI4TS
47
0
0
24 Aug 2025
LLM-Driven Self-Refinement for Embodied Drone Task Planning
LLM-Driven Self-Refinement for Embodied Drone Task Planning
Deyu Zhang
Xicheng Zhang
Jiahao Li
Tingting Long
Xunhua Dai
Yongjian Fu
Jinrui Zhang
Ju Ren
Yaoxue Zhang
107
0
0
21 Aug 2025
Causally-Guided Pairwise Transformer -- Towards Foundational Digital Twins in Process Industry
Causally-Guided Pairwise Transformer -- Towards Foundational Digital Twins in Process Industry
Michael Mayr
Georgios C. Chasparis
86
0
0
18 Aug 2025
HRS: Hybrid Representation Framework with Scheduling Awareness for Time Series Forecasting in Crowdsourced Cloud-Edge Platforms
HRS: Hybrid Representation Framework with Scheduling Awareness for Time Series Forecasting in Crowdsourced Cloud-Edge Platforms
Tiancheng Zhang
Cheng Zhang
S. Liu
Xiaofei Wang
Shaoyuan Huang
Wenyu Wang
AI4TS
142
0
0
18 Aug 2025
Bi-Axial Transformers: Addressing the Increasing Complexity of EHR Classification
Bi-Axial Transformers: Addressing the Increasing Complexity of EHR Classification
Rachael DeVries
Casper Christensen
Marie Lisandra Zepeda Mendoza
Ole Winther
119
1
0
17 Aug 2025
Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation
Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation
Chinmoy Biswas
Nafis Faisal
Vivek Chowdhury
Abrar Al-Shadid Abir
S. Mahmud
Mithon Rahman
S. Fattah
H. Imtiaz
88
0
0
12 Aug 2025
Wavelet Mixture of Experts for Time Series Forecasting
Wavelet Mixture of Experts for Time Series Forecasting
Zheng Zhou
Yu-Jie Xiong
Jia-Chen Zhang
Chun-Ming Xia
Xi-Jiong Xie
AI4TS
113
0
0
12 Aug 2025
Fre-CW: Targeted Attack on Time Series Forecasting using Frequency Domain Loss
Fre-CW: Targeted Attack on Time Series Forecasting using Frequency Domain Loss
Naifu Feng
Lixing Chen
Junhua Tang
H. Ding
Jianhua Li
Yang Bai
AAMLAI4TS
91
0
0
12 Aug 2025
Comparative Analysis of Time Series Foundation Models for Demographic Forecasting: Enhancing Predictive Accuracy in US Population Dynamics
Comparative Analysis of Time Series Foundation Models for Demographic Forecasting: Enhancing Predictive Accuracy in US Population Dynamics
Aditya Akella
Jonathan Farah
AI4TS
85
0
0
09 Aug 2025
FeDaL: Federated Dataset Learning for Time Series Foundation Models
FeDaL: Federated Dataset Learning for Time Series Foundation Models
Shengchao Chen
Guodong Long
Jing Jiang
FedMLAI4TSAI4CE
207
0
0
06 Aug 2025
User Trajectory Prediction Unifying Global and Local Temporal Information
User Trajectory Prediction Unifying Global and Local Temporal Information
Wei Hao
Bin Chong
Ronghua Ji
Chen Hou
104
0
0
04 Aug 2025
HGTS-Former: Hierarchical HyperGraph Transformer for Multivariate Time Series Analysis
HGTS-Former: Hierarchical HyperGraph Transformer for Multivariate Time Series Analysis
Xiao Wang
Hao Si
Fan Zhang
Xiaoya Zhou
Dengdi Sun
Wanli Lyu
Qingquan Yang
Jin Tang
AI4TS
390
1
0
04 Aug 2025
DeepKoopFormer: A Koopman Enhanced Transformer Based Architecture for Time Series Forecasting
DeepKoopFormer: A Koopman Enhanced Transformer Based Architecture for Time Series Forecasting
Ali Forootani
Mohammad Khosravi
Masoud Barati
AI4TS
142
0
0
04 Aug 2025
TriP-LLM: A Tri-Branch Patch-wise Large Language Model Framework for Time-Series Anomaly Detection
TriP-LLM: A Tri-Branch Patch-wise Large Language Model Framework for Time-Series Anomaly DetectionIEEE Access (IEEE Access), 2025
Yuan-Cheng Yu
Yen-Chieh Ouyang
Chun-An Lin
AI4TS
100
2
0
31 Jul 2025
OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction
OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction
Hanchen Yang
Jiaqi Wang
Jiannong Cao
Wengen Li
Jialun Zheng
Yangning Li
Chunyu Miao
Jihong Guan
Shuigeng Zhou
Philip S. Yu
90
3
0
31 Jul 2025
Optimizing Multi-Tier Supply Chain Ordering with LNN+XGBoost: Mitigating the Bullwhip Effect
Optimizing Multi-Tier Supply Chain Ordering with LNN+XGBoost: Mitigating the Bullwhip Effect
Chunan Tong
123
0
0
28 Jul 2025
Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions
Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions
Devroop Kar
Zimeng Lyu
Sheeraja Rajakrishnan
Hao Zhang
Alex Ororbia
Travis J. Desell
Daniel E. Krutz
AIFinAI4TS
198
0
0
25 Jul 2025
U-Cast: Learning Hierarchical Structures for High-Dimensional Time Series Forecasting
U-Cast: Learning Hierarchical Structures for High-Dimensional Time Series Forecasting
Juntong Ni
Shiyu Wang
Zewen Liu
Xiaoming Shi
Xinyue Zhong
Zhou Ye
Wei Jin
AI4TS
352
1
0
20 Jul 2025
ParallelTime: Dynamically Weighting the Balance of Short- and Long-Term Temporal Dependencies
ParallelTime: Dynamically Weighting the Balance of Short- and Long-Term Temporal Dependencies
Itay Katav
Aryeh Kontorovich
AI4TS
152
0
0
18 Jul 2025
Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
Runze Yang
LongBing Cao
Xin You
Kun Fang
Jianxun Li
J. Yang
AI4TS
192
0
0
13 Jul 2025
Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching
Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching
Huibo Xu
Runlong Yu
Likang Wu
Xianquan Wang
Qi Liu
AI4TS
266
1
0
09 Jul 2025
ViFusionTST: Deep Fusion of Time-Series Image Representations from Load Signals for Early Bed-Exit Prediction
ViFusionTST: Deep Fusion of Time-Series Image Representations from Load Signals for Early Bed-Exit Prediction
Hao Liu
Yu Hu
Rakiba Rayhana
Ling Bai
Zheng Liu
175
0
0
25 Jun 2025
When Does Multimodality Lead to Better Time Series Forecasting?
When Does Multimodality Lead to Better Time Series Forecasting?
Xiyuan Zhang
Boran Han
Haoyang Fang
Abdul Fatir Ansari
Shuai Zhang
...
Hao Wang
Y. Liu
Huzefa Rangwala
George Karypis
Bernie Wang
AI4TS
139
0
0
20 Jun 2025
AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
Qianru Zhang
Honggang Wen
Ming Li
Dong Huang
Siu-Ming Yiu
Christian S. Jensen
Pietro Lio
AI4TS
190
5
0
19 Jun 2025
T-SHRED: Symbolic Regression for Regularization and Model Discovery with Transformer Shallow Recurrent Decoders
T-SHRED: Symbolic Regression for Regularization and Model Discovery with Transformer Shallow Recurrent Decoders
Alexey Yermakov
David Zoro
Mars Liyao Gao
J. Nathan Kutz
290
0
0
18 Jun 2025
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models
Can Zheng
Jiguang He
Chung G. Kang
Guofa Cai
Zitong Yu
Merouane Debbah
MoE
163
6
0
17 Jun 2025
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
Yitian Zhang
Liheng Ma
Antonios Valkanas
Boris N. Oreshkin
Mark Coates
AI4TS
242
3
0
17 Jun 2025
POCO: Scalable Neural Forecasting through Population Conditioning
POCO: Scalable Neural Forecasting through Population Conditioning
Yu Duan
Hamza Tahir Chaudhry
Misha B. Ahrens
Christopher D Harvey
Matthew G Perich
Karl Deisseroth
Kanaka Rajan
AI4CE
213
2
0
17 Jun 2025
Deep learning forecasts the spatiotemporal evolution of fluid-induced microearthquakes
Deep learning forecasts the spatiotemporal evolution of fluid-induced microearthquakes
Jaehong Chung
Michael Manga
Timothy Kneafsey
T. Mukerji
Mengsu Hu
191
0
0
17 Jun 2025
CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values
CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values
Kai Tang
Ji Zhang
Hua Meng
Minbo Ma
Qi Xiong
Jie Xu
Jie Xu
Tianrui Li
AI4TS
219
0
0
16 Jun 2025
A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction
A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction
Yi-Fei Wang
Zhenghong Wang
Fan Zhang
Chengling Tang
Chaogui Kang
...
Sijie Ruan
W. Zhang
Yu Zheng
Philip S. Yu
Yu Liu
AI4CE
296
1
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16 Jun 2025
TFKAN: Time-Frequency KAN for Long-Term Time Series Forecasting
TFKAN: Time-Frequency KAN for Long-Term Time Series Forecasting
Xiaoyan Kui
Canwei Liu
Qinsong Li
Zhipeng Hu
Yangyang Shi
Weixin Si
Beiji Zou
AI4TS
132
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0
15 Jun 2025
MetaEformer: Unveiling and Leveraging Meta-patterns for Complex and Dynamic Systems Load Forecasting
MetaEformer: Unveiling and Leveraging Meta-patterns for Complex and Dynamic Systems Load ForecastingKnowledge Discovery and Data Mining (KDD), 2025
Shaoyuan Huang
Tiancheng Zhang
Zhongtian Zhang
Xiaofei Wang
Lanjun Wang
Xin Wang
AI4TS
156
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15 Jun 2025
A Survey of Foundation Models for IoT: Taxonomy and Criteria-Based Analysis
A Survey of Foundation Models for IoT: Taxonomy and Criteria-Based Analysis
Hui Wei
Dong Yoon Lee
Shubham Rohal
Zhizhang Hu
Ryan Rossi
Shiwei Fang
Shijia Pan
328
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0
13 Jun 2025
Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics
Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics
Zijian Wang
Peng Tao
Luonan Chen
AI4TSAI4CE
152
1
0
13 Jun 2025
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