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Are Transformers Effective for Time Series Forecasting?

AAAI Conference on Artificial Intelligence (AAAI), 2022

26 May 2022

Ailing Zeng

ArXiv (abs)PDF HTML Github (2219★)

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

50 / 479 papers shown

Title
Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu AI4TS 165 8 0 10 Dec 2023
Large Pre-trained time series models for cross-domain Time series analysis tasks Harshavardhan Kamarthi B. A. Prakash VLM AI4TS 343 20 0 19 Nov 2023
PEMS: Pre-trained Epidemic Time-series Models Harshavardhan Kamarthi B. A. Prakash AI4TS 241 2 0 14 Nov 2023
Extending Machine Learning-Based Early Sepsis Detection to Different Demographics Surajsinh Parmar Tao Shan San Lee Yonghwan Kim Jang Yong Kim 98 2 0 07 Nov 2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable BasisNeural Information Processing Systems (NeurIPS), 2023 Zelin Ni Hang Yu Shizhan Liu Jianguo Li Weiyao Lin AI4TS 198 62 0 31 Oct 2023
A Systematic Review for Transformer-based Long-term Series ForecastingArtificial Intelligence Review (AIR), 2023 Liyilei Su Xumin Zuo Rui Li Xin Wang Heng Zhao Bingding Huang AI4TS 192 52 0 31 Oct 2023
SigFormer: Signature Transformers for Deep Hedging Anh Tong Thanh Nguyen-Tang Dongeun Lee Toan M. Tran Jaesik Choi AIFin 226 9 0 20 Oct 2023
A Multi-Scale Decomposition MLP-Mixer for Time Series AnalysisProceedings of the VLDB Endowment (PVLDB), 2023 Shuhan Zhong Sizhe Song Weipeng Zhuo Guanyao Li Yang Liu S.-H. Gary Chan AI4TS 295 36 0 18 Oct 2023
Large Language Models Are Zero-Shot Time Series ForecastersNeural Information Processing Systems (NeurIPS), 2023 Nate Gruver Marc Finzi Shikai Qiu Andrew Gordon Wilson AI4TS 282 555 0 11 Oct 2023
iTransformer: Inverted Transformers Are Effective for Time Series ForecastingInternational Conference on Learning Representations (ICLR), 2023 Yong Liu Tengge Hu Haoran Zhang Haixu Wu Shiyu Wang Lintao Ma Mingsheng Long AI4TS 401 1,097 0 10 Oct 2023
TimeGPT-1 Azul Garza Cristian Challu Max Mergenthaler-Canseco AI4TS 187 172 0 05 Oct 2023
TempoNet: Empowering long-term Knee Joint Angle Prediction with Dynamic Temporal Attention in Exoskeleton ControlIEEE-RAS International Conference on Humanoid Robots (Humanoids), 2023 L. Saad Saoud Irfan Hussain 146 4 0 03 Oct 2023
Time-LLM: Time Series Forecasting by Reprogramming Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023 Ming Jin Shiyu Wang Lintao Ma Zhixuan Chu James Y. Zhang ... Pin-Yu Chen Yuxuan Liang Yuan-Fang Li Shirui Pan Qingsong Wen AI4TS 353 667 0 03 Oct 2023
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting Zeying Gong Yujin Tang Junwei Liang KELM AI4TS 159 48 0 01 Oct 2023
Leveraging Herpangina Data to Enhance Hospital-level Prediction of Hand-Foot-and-Mouth Disease Admissions Using UPTST Guoqi Yu Hailun Yao Huan Zheng Ximing Xu 122 0 0 26 Sep 2023
Towards Energy-Aware Federated Traffic Prediction for Cellular NetworksInternational Conference on Fog and Mobile Edge Computing (FMEC), 2023 V. Perifanis Nikolaos Pavlidis Selim F. Yilmaz F. Wilhelmi Elia Guerra M. Miozzo P. Efraimidis Paolo Dini R. Koutsiamanis 154 16 0 19 Sep 2023
MAPLE: Mobile App Prediction Leveraging Large Language Model EmbeddingsProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2023 Yonchanok Khaokaew Hao Xue Flora D. Salim VLM AI4TS 183 4 0 15 Sep 2023
Long-term drought prediction using deep neural networks based on geospatial weather dataEnvironmental Modelling & Software (Environ. Model. Softw.), 2023 Alexander Marusov Vsevolod Grabar Yury Maximov Nazar Sotiriadi Alexander Bulkin Alexey Zaytsev 189 18 0 12 Sep 2023
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Shunyang Zhang Senzhang Wang Xianzhen Tan Ruochen Liu Jian Zhang Jianxin Wang 136 10 0 05 Sep 2023
Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical VehiclesAsia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2023 Jiacong Xu Riley Kilfoyle Zixiang Xiong Ligang Lu AI4TS 55 2 0 04 Sep 2023
TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting Yuxiao Luo Ziyu Lyu Xin Huang AI4TS 106 10 0 25 Aug 2023
Multi-scale Transformer Pyramid Networks for Multivariate Time Series ForecastingIEEE Access (IEEE Access), 2023 Yifan Zhang Rui Wu S. Dascalu F. Harris AI4TS 77 22 0 23 Aug 2023
ST-RAP: A Spatio-Temporal Framework for Real Estate AppraisalInternational Conference on Information and Knowledge Management (CIKM), 2023 Hojoon Lee Hawon Jeong ByungKun Lee Kyungyup Lee Jaegul Choo AI4TS 113 7 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 369 22 0 21 Aug 2023
Minimalist Traffic Prediction: Linear Layer Is All You Need Wenying Duan Hong Rao Wei Huang Xiaoxi He AI4TS 103 5 0 20 Aug 2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time SeriesInternational Conference on Learning Representations (ICLR), 2023 Chenxi Sun Hongyan Li Yaliang Li linda Qiao AI4TS 336 180 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 158 35 0 14 Aug 2023
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced TransformerIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023 Shengsheng Lin Weiwei Lin Wentai Wu Song Wang Yongxiang Wang AI4TS 148 46 0 09 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 251 7 0 02 Aug 2023
A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series ForecastingNeurocomputing (Neurocomputing), 2023 Christopher Salazar A. Banerjee AI4TS 226 10 0 28 Jul 2023
Introducing Hybrid Modeling with Time-series-Transformers: A Comparative Study of Series and Parallel Approach in Batch Crystallization Niranjan Sitapure J. Kwon 197 54 0 25 Jul 2023
U-shaped Transformer: Retain High Frequency Context in Time Series Analysis Qing-Hong Chen Y. Zhang AI4TS 165 1 0 18 Jul 2023
GBT: Two-stage transformer framework for non-stationary time series forecastingNeural Networks (Neural Netw.), 2023 Li Shen Yuning Wei Yangzhu Wang AI4TS 180 33 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 78 4 0 13 Jul 2023
FITS: Modeling Time Series with $10k$ ParametersInternational Conference on Learning Representations (ICLR), 2023 Zhijian Xu Ailing Zeng Qiang Xu AI4TS 235 175 0 06 Jul 2023
Unlocking the Potential of Deep Learning in Peak-Hour Series ForecastingInternational Conference on Information and Knowledge Management (CIKM), 2023 Zhenwei Zhang Xin Wang Jingyuan Xie Heling Zhang Yuantao Gu AI4TS 150 9 0 04 Jul 2023
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load ForecastingNeural Information Processing Systems (NeurIPS), 2023 Patrick Emami A. Sahu Peter Graf AI4TS 400 29 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 73 0 0 22 Jun 2023
Transformer Training Strategies for Forecasting Multiple Load Time SeriesEnergy Informatics (EI), 2023 Matthias Hertel Maximilian Beichter Benedikt Heidrich Oliver Neumann Benjamin Schafer Ralf Mikut V. Hagenmeyer AI4TS 118 21 0 19 Jun 2023
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series ForecastingKnowledge-Based Systems (KBS), 2023 Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu OOD AI4TS 148 12 0 19 Jun 2023
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series ForecastingInternational Conference on Information and Knowledge Management (CIKM), 2023 Yanjun Zhao Ziqing Ma Tian Zhou Liang Sun M. Ye Yi Qian AI4TS 270 31 0 14 Jun 2023
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series ForecastingKnowledge Discovery and Data Mining (KDD), 2023 Vijayabharathi Ekambaram Arindam Jati Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AI4TS 411 263 0 14 Jun 2023
Unbiased Learning of Deep Generative Models with Structured Discrete RepresentationsNeural Information Processing Systems (NeurIPS), 2023 H. Bendekgey Gabriel Hope Erik B. Sudderth OCL BDL DRL 160 1 0 14 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 271 15 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 158 7 0 09 Jun 2023
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal ContextNeural Information Processing Systems (NeurIPS), 2023 Oussama Boussif Ghait Boukachab D. Assouline Stefano Massaroli T. Yuan L. Benabbou Yoshua Bengio 336 23 0 01 Jun 2023
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting Jiaxin Gao Wenbo Hu Yuntian Chen AI4TS 139 15 0 30 May 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman PredictorsNeural Information Processing Systems (NeurIPS), 2023 Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 234 175 0 30 May 2023
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers Zahra Atashgahi Mykola Pechenizkiy Raymond N. J. Veldhuis Decebal Constantin Mocanu AI4TS AI4CE 207 1 0 28 May 2023
LANISTR: Multimodal Learning from Structured and Unstructured Data Sayna Ebrahimi Sercan O. Arik Yihe Dong Tomas Pfister 184 7 0 26 May 2023