Are Transformers Effective for Time Series Forecasting?

26 May 2022

Ailing Zeng

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

50 / 541 papers shown

Title
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation Shunyang Zhang Senzhang Wang Xianzhen Tan Ruochen Liu Jian Zhang Jianxin Wang 25 4 0 05 Sep 2023
Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical Vehicles Jiacong Xu Riley Kilfoyle Zixiang Xiong Ligang Lu AI4TS 11 1 0 04 Sep 2023
TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting Yuxiao Luo Ziyu Lyu Xin Huang AI4TS 11 3 0 25 Aug 2023
Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting Yifan Zhang Rui Wu S. Dascalu F. Harris AI4TS 19 17 0 23 Aug 2023
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting Shengsheng Lin Weiwei Lin Wentai Wu Feiyu Zhao Ruichao Mo Haotong Zhang AI4TS 18 50 0 22 Aug 2023
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal Hojoon Lee Hawon Jeong ByungKun Lee Kyungyup Lee Jaegul Choo AI4TS 6 5 0 21 Aug 2023
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting Hangcheng Liu Zheng Dong Renhe Jiang Jiewen Deng Jinliang Deng Quanjun Chen Xuan Song AI4TS 24 4 0 21 Aug 2023
Minimalist Traffic Prediction: Linear Layer Is All You Need Wenying Duan Hong Rao Wei Huang Xiaoxi He AI4TS 13 1 0 20 Aug 2023
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters Ching Chang Wei-Yao Wang Wenjie Peng Tien-Fu Chen AI4TS 30 45 0 16 Aug 2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series Chenxi Sun Hongyan Li Yaliang Li linda Qiao AI4TS 21 111 0 16 Aug 2023
ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting Zepu Wang Yuqi Nie Peng Sun Nam H. Nguyen John M. Mulvey H. Vincent Poor AI4TS 19 22 0 14 Aug 2023
ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN M. A. Bashar R. Nayak AI4TS 39 4 0 13 Aug 2023
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer Shengsheng Lin Weiwei Lin Wentai Wu Song Wang Yongxiang Wang AI4TS 30 18 0 09 Aug 2023
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction Chengqing Yu Fei Wang Zezhi Shao Tao Sun Lin Wu Yongjun Xu AI4TS 30 74 0 07 Aug 2023
Exploring Different Time-series-Transformer (TST) Architectures: A Case Study in Battery Life Prediction for Electric Vehicles (EVs) Niranjan Sitapure Atharva Kulkarni AI4TS 11 5 0 07 Aug 2023
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach Chunwei Yang Xiaoxu Chen Lijun Sun Hongyu Yang Yuankai Wu AI4TS 19 2 0 02 Aug 2023
A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series Forecasting Christopher Salazar A. Banerjee AI4TS 11 2 0 28 Jul 2023
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting Zezhi Shao Fei Wang Zhao Zhang Yuchen Fang G. Jin Yongjun Xu ViT AI4TS 19 5 0 27 Jul 2023
Introducing Hybrid Modeling with Time-series-Transformers: A Comparative Study of Series and Parallel Approach in Batch Crystallization Niranjan Sitapure J. Kwon 22 32 0 25 Jul 2023
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development Danilo Brajovic Niclas Renner Vincent Philipp Goebels Philipp Wagner Benjamin Frész M. Biller Mara Klaeb Janika Kutz Jens Neuhuettler Marco F. Huber 19 8 0 21 Jul 2023
Refining the Optimization Target for Automatic Univariate Time Series Anomaly Detection in Monitoring Services Manqing Dong Zhanxiang Zhao Yitong Geng Wentao Li W. Wang Huai Jiang AI4TS 25 0 0 20 Jul 2023
Forecasting Early with Meta Learning Shayan Jawed Kiran Madhusudhanan Vijaya Krishna Yalavarthi Lars Schmidt-Thieme AI4TS 21 0 0 19 Jul 2023
U-shaped Transformer: Retain High Frequency Context in Time Series Analysis Qing-Hong Chen Y. Zhang AI4TS 20 1 0 18 Jul 2023
GBT: Two-stage transformer framework for non-stationary time series forecasting Li Shen Yuning Wei Yangzhu Wang AI4TS 19 23 0 17 Jul 2023
MPR-Net:Multi-Scale Pattern Reproduction Guided Universality Time Series Interpretable Forecasting Tianlong Zhao Xiang Ma Xue-mei Li Caiming Zhang AI4TS 22 2 0 13 Jul 2023
FITS: Modeling Time Series with $10k$ Parameters Zhijian Xu Ailing Zeng Qiang Xu AI4TS 22 81 0 06 Jul 2023
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting Zhenwei Zhang Linghang Meng Yuantao Gu AI4TS 17 12 0 04 Jul 2023
Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting Zhenwei Zhang Xin Wang Jingyuan Xie Heling Zhang Yuantao Gu AI4TS 22 7 0 04 Jul 2023
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting Patrick Emami A. Sahu Peter Graf AI4TS 20 13 0 30 Jun 2023
A Machine Learning Pressure Emulator for Hydrogen Embrittlement Minh Triet Chau J. L. S. Almeida Elie Alhajjar A. C. N. Junior AI4CE 11 0 0 22 Jun 2023
Transformer Training Strategies for Forecasting Multiple Load Time Series Matthias Hertel Maximilian Beichter Benedikt Heidrich Oliver Neumann Benjamin Schafer Ralf Mikut V. Hagenmeyer AI4TS 17 12 0 19 Jun 2023
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu OOD AI4TS 11 7 0 19 Jun 2023
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting Yanjun Zhao Ziqing Ma Tian Zhou Liang Sun M. Ye Yi Qian AI4TS 16 19 0 14 Jun 2023
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting Vijayabharathi Ekambaram Arindam Jati Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AI4TS 29 131 0 14 Jun 2023
Unbiased Learning of Deep Generative Models with Structured Discrete Representations H. Bendekgey Gabriel Hope Erik B. Sudderth OCL BDL DRL 13 1 0 14 Jun 2023
Improving Knee Joint Angle Prediction through Dynamic Contextual Focus and Gated Linear Units L. Saad Saoud Humaid Ibrahim Ahmad Aljarah Irfan Hussain AI4CE 19 1 0 12 Jun 2023
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting Xing Wang Zhendong Wang Kexin Yang Junlan Feng Zhi-yan Song Chao Deng Lin Zhu AI4TS 25 3 0 12 Jun 2023
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations E. L. Naour Louis Serrano Léon Migus Yuan Yin G. Agoua Nicolas Baskiotis Patrick Gallinari Vincent Guigue BDL AI4TS 11 9 0 09 Jun 2023
Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge Yvenn Amara-Ouali Y. Goude Nathan Doumèche Pascal Veyret Alexis Thomas ... Aymeric Jan Yannick Deleuze Paul Berhaut Sébastien Treguer Tiphaine Phe-Neau 10 5 0 09 Jun 2023
Non-autoregressive Conditional Diffusion Models for Time Series Prediction Lifeng Shen James Kwok DiffM AI4CE 14 46 0 08 Jun 2023
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting Donghao Luo Xue Wang BDL AI4TS 11 1 0 04 Jun 2023
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context Oussama Boussif Ghait Boukachab D. Assouline Stefano Massaroli T. Yuan L. Benabbou Yoshua Bengio 12 13 0 01 Jun 2023
An End-to-End Time Series Model for Simultaneous Imputation and Forecast Trang H. Tran Lam M. Nguyen K. Yeo Nam H. Nguyen Dzung Phan Roman Vaculin Jayant Kalagnanam SyDa BDL AI4TS 21 3 0 01 Jun 2023
Encoder-decoder multimodal speaker change detection Jee-weon Jung Soonshin Seo Hee-Soo Heo Geon-min Kim You Jin Kim Youngki Kwon Min-Ji Lee Bong-Jin Lee 29 2 0 01 Jun 2023
CrystalGPT: Enhancing system-to-system transferability in crystallization prediction and control using time-series-transformers Niranjan Sitapure J. Kwon 8 51 0 31 May 2023
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting Jiaxin Gao Wenbo Hu Yuntian Chen AI4TS 21 13 0 30 May 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 28 101 0 30 May 2023
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers Zahra Atashgahi Mykola Pechenizkiy Raymond N. J. Veldhuis D. Mocanu AI4TS AI4CE 19 1 0 28 May 2023
LANISTR: Multimodal Learning from Structured and Unstructured Data Sayna Ebrahimi Sercan Ö. Arik Yihe Dong Tomas Pfister 20 4 0 26 May 2023
TLNets: Transformation Learning Networks for long-range time-series prediction Wen Wang Yang Liu Haoqin Sun AI4TS 7 3 0 25 May 2023