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

Are Transformers Effective for Time Series Forecasting?

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 / 193 papers shown
Title
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
16
0
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
9
0
0
18 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
39
0
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
15
0
0
17 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
17
0
0
17 Jun 2025
Forecasting the spatiotemporal evolution of fluid-induced microearthquakes with deep learning
Forecasting the spatiotemporal evolution of fluid-induced microearthquakes with deep learning
Jaehong Chung
Michael Manga
Timothy Kneafsey
T. Mukerji
Mengsu Hu
10
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
Tianrui Li
Tianrui Li
AI4TS
20
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
16
0
0
16 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
13
0
0
13 Jun 2025
Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs
Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs
Yucong Luo
Yitong Zhou
Mingyue Cheng
Jiahao Wang
Daoyu Wang
Tingyue Pan
Jintao Zhang
AI4TSLRM
102
0
0
12 Jun 2025
Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness
Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness
Jinkwan Jang
Hyungjin Park
Jinmyeong Choi
Taesup Kim
AI4TS
26
0
0
10 Jun 2025
KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecasting
Hang Ye
Gaoxiang Duan
Haoran Zeng
Yangxin Zhu
Lingxue Meng
Xiaoying Zheng
Yongxin Zhu
AI4TS
27
0
0
10 Jun 2025
TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
Jialin Chen
Ziyu Zhao
Gaukhar Nurbek
Aosong Feng
Ali Maatouk
Leandros Tassiulas
Yifeng Gao
Rex Ying
AI4TS
30
0
0
10 Jun 2025
LETS Forecast: Learning Embedology for Time Series Forecasting
LETS Forecast: Learning Embedology for Time Series Forecasting
Abrar Majeedi
Viswanatha Reddy Gajjala
Satya Sai Srinath Namburi Gnvv
Nada Magdi Elkordi
Yin Li
AI4TS
18
0
0
06 Jun 2025
An Unsupervised Framework for Dynamic Health Indicator Construction and Its Application in Rolling Bearing Prognostics
An Unsupervised Framework for Dynamic Health Indicator Construction and Its Application in Rolling Bearing Prognostics
Tongda Sun
Chen Yin
Huailiang Zheng
Yining Dong
23
0
0
05 Jun 2025
Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
Yuanpei Gao
Qi Yan
Yan Leng
Renjie Liao
AI4TS
99
0
0
05 Jun 2025
FaCTR: Factorized Channel-Temporal Representation Transformers for Efficient Time Series Forecasting
FaCTR: Factorized Channel-Temporal Representation Transformers for Efficient Time Series Forecasting
Yash Vijay
Harini Subramanyan
AI4TS
40
0
0
05 Jun 2025
CHIME: Conditional Hallucination and Integrated Multi-scale Enhancement for Time Series Diffusion Model
CHIME: Conditional Hallucination and Integrated Multi-scale Enhancement for Time Series Diffusion Model
Yuxuan Chen
Haipeng Xie
DiffM
64
0
0
04 Jun 2025
Zero-Shot Time Series Forecasting with Covariates via In-Context Learning
Zero-Shot Time Series Forecasting with Covariates via In-Context Learning
Andreas Auer
Raghul Parthipan
Pedro Mercado
Abdul Fatir Ansari
Lorenzo Stella
Bernie Wang
Michael Bohlke-Schneider
Syama Sundar Rangapuram
AI4TS
58
0
0
03 Jun 2025
HouseTS: A Large-Scale, Multimodal Spatiotemporal U.S. Housing Dataset
HouseTS: A Large-Scale, Multimodal Spatiotemporal U.S. Housing Dataset
Shengkun Wang
Yanshen Sun
F. Chen
Linhan Wang
Naren Ramakrishnan
Chang-Tien Lu
Yinlin Chen
AI4TS
24
0
0
01 Jun 2025
Binary Cumulative Encoding meets Time Series Forecasting
Binary Cumulative Encoding meets Time Series Forecasting
Andrei Chernov
Vitaliy Pozdnyakov
Ilya Makarov
AI4TS
41
0
0
30 May 2025
Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series
Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series
Md Mahmuddun Nabi Murad
Yasin Yilmaz
15
0
0
30 May 2025
Non-collective Calibrating Strategy for Time Series Forecasting
Non-collective Calibrating Strategy for Time Series Forecasting
Bin Wang
Yongqi Han
Minbo Ma
Tianrui Li
Junbo Zhang
Feng Hong
Yanwei Yu
AI4TS
35
0
0
29 May 2025
$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
K2K^2K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
Xingjian Wu
Xiangfei Qiu
Hongfan Gao
Jilin Hu
Bin Yang
Chenjuan Guo
AI4TS
72
1
0
29 May 2025
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
Andreas Auer
Patrick Podest
Daniel Klotz
Sebastian Böck
Günter Klambauer
Sepp Hochreiter
AI4TS
14
0
0
29 May 2025
Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting
Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting
Tianxiang Zhan
Ming Jin
Yuanpeng He
Yuxuan Liang
Yong Deng
Shirui Pan
AI4TSKELM
7
0
0
28 May 2025
Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model
Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model
Jintao Zhang
Zirui Liu
Mingyue Cheng
Shilong Zhang
Tingyue Pan
Qi Liu
Yanhu Xie
28
0
0
28 May 2025
Chinese Cyberbullying Detection: Dataset, Method, and Validation
Chinese Cyberbullying Detection: Dataset, Method, and Validation
Yi Zhu
Xin Zou
Xindong Wu
68
0
0
27 May 2025
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
Zhining Liu
Ze Yang
Xiao Lin
Ruizhong Qiu
Tianxin Wei
Yada Zhu
Hendrik Hamann
Jingrui He
Hanghang Tong
AI4TS
89
0
0
24 May 2025
FRIREN: Beyond Trajectories -- A Spectral Lens on Time
FRIREN: Beyond Trajectories -- A Spectral Lens on Time
Qilin Wang
AI4TS
63
0
0
23 May 2025
NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification
NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification
NovelSeek Team
Bo Zhang
Shiyang Feng
Xiangchao Yan
Jiakang Yuan
...
Zhongying Tu
Xiangyu Yue
W. Ouyang
Bowen Zhou
Lei Bai
LLMAG
110
2
0
22 May 2025
Boost Post-Training Quantization via Null Space Optimization for Large Language Models
Boost Post-Training Quantization via Null Space Optimization for Large Language Models
Jiaqi Zhao
Miao Zhang
Weili Guan
Liqiang Nie
MQ
10
0
0
21 May 2025
Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model
Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model
Xue Wang
Tian Zhou
Jinyang Gao
Bolin Ding
Jingren Zhou
AI4TSAI4CELRM
10
0
0
20 May 2025
Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks
Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks
Suhan Guo
Zhenghao Xu
Furao Shen
Jian Zhao
15
0
0
20 May 2025
CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness
CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness
Yingwei Zhang
Ke Bu
Zhuoran Zhuang
Tao Xie
Yao Yu
Dong Li
Yang Guo
Detao Lv
AI4TS
61
0
0
20 May 2025
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction
Yingjie Kuang
Tianchen Zhang
Zhen-Wei Huang
Zhongjie Zeng
Zhe-Yuan Li
Ling Huang
Yuefang Gao
AI4TS
151
0
0
19 May 2025
Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding
Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding
Donghwa Shin
Edwin Zhang
AI4TS
75
0
0
19 May 2025
ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data
ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data
Mengxuan Li
Ke Liu
Jialong Guo
Jiajun Bu
Hongwei Wang
Haishuai Wang
AI4TS
72
0
0
16 May 2025
ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data
ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data
Chengsen Wang
Qi Qi
Zhongwen Rao
Lujia Pan
Jingyu Wang
Jianxin Liao
AI4TS
69
0
0
15 May 2025
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain
Wenzhen Yue
Yang Liu
Haoxuan Li
Hao Wang
Xianghua Ying
Ruohao Guo
Bowei Xing
Ji Shi
AI4TSOOD
88
0
0
12 May 2025
A Comparative Study of Transformer-Based Models for Multi-Horizon Blood Glucose Prediction
A Comparative Study of Transformer-Based Models for Multi-Horizon Blood Glucose Prediction
Meryem Altin Karagoz
Marc D. Breton
Anas El Fathi
AI4TS
51
0
0
12 May 2025
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
Yiming Niu
Jinliang Deng
Lulu Zhang
Zimu Zhou
Yongxin Tong
AI4TS
165
0
0
09 May 2025
Non-stationary Diffusion For Probabilistic Time Series Forecasting
Non-stationary Diffusion For Probabilistic Time Series Forecasting
Weiwei Ye
Zhuopeng Xu
Ning Gui
DiffM
125
0
0
07 May 2025
Retrieval Augmented Time Series Forecasting
Retrieval Augmented Time Series Forecasting
Sungwon Han
Seungeon Lee
M. Cha
Sercan O. Arik
Jinsung Yoon
AI4TS
65
0
0
07 May 2025
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
Chenxi Liu
Hao Miao
Qianxiong Xu
Shaowen Zhou
Cheng Long
Yan Zhao
Ziyue Li
Rui Zhao
AI4TS
163
7
0
04 May 2025
CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting
CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting
Minhyuk Lee
HyeKyung Yoon
MyungJoo Kang
AI4TS
153
0
0
04 May 2025
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations
Yu-Hsiang Lan
Anton Alyakin
AI4TS
87
0
0
01 May 2025
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity
Xiaolu Chen
Chenghao Huang
Yanru Zhang
Hao Wang
170
0
0
25 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
197
0
0
19 Apr 2025
Possibility for Proactive Anomaly Detection
Possibility for Proactive Anomaly Detection
Jinsung Jeon
Jaehyeon Park
Sewon Park
Jeongwhan Choi
Minjung Kim
Noseong Park
AI4TS
37
0
0
15 Apr 2025
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