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Are Transformers Effective for Time Series Forecasting?

26 May 2022

Ailing Zeng

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

43 / 193 papers shown

Title
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 98 5 0 12 Feb 2024
A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge Mohamed Mejri C. Amarnath Abhijit Chatterjee AI4TS 35 5 0 03 Feb 2024
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting Zhanyu Liu Guanjie Zheng Yanwei Yu AI4TS 103 6 0 01 Feb 2024
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators Lifan Zhao Yanyan Shen AI4TS AIFin 103 15 0 31 Jan 2024
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 126 3 0 26 Jan 2024
Learning the Dynamic Correlations and Mitigating Noise by Hierarchical Convolution for Long-term Sequence Forecasting Zhihao Yu Liantao Ma Yasha Wang Junfeng Zhao AI4TS 69 0 0 28 Dec 2023
Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu AI4TS 46 7 0 10 Dec 2023
Large Pre-trained time series models for cross-domain Time series analysis tasks Harshavardhan Kamarthi B. A. Prakash VLM AI4TS 117 12 0 19 Nov 2023
Extending Machine Learning-Based Early Sepsis Detection to Different Demographics Surajsinh Parmar Tao Shan San Lee Yonghwan Kim Jang Yong Kim 61 2 0 07 Nov 2023
A Systematic Review for Transformer-based Long-term Series Forecasting Liyilei Su Xumin Zuo Rui Li Xin Wang Heng Zhao Bingding Huang AI4TS 71 12 0 31 Oct 2023
SigFormer: Signature Transformers for Deep Hedging Anh Tong Thanh Nguyen-Tang Dongeun Lee Toan M. Tran Jaesik Choi AIFin 153 5 0 20 Oct 2023
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis Shuhan Zhong Sizhe Song Weipeng Zhuo Guanyao Li Yang Liu S.-H. Gary Chan AI4TS 107 19 0 18 Oct 2023
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting Yong Liu Tengge Hu Haoran Zhang Haixu Wu Shiyu Wang Lintao Ma Mingsheng Long AI4TS 158 563 0 10 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 51 0 0 26 Sep 2023
Towards Energy-Aware Federated Traffic Prediction for Cellular Networks V. Perifanis Nikolaos Pavlidis Selim F. Yilmaz F. Wilhelmi Elia Guerra M. Miozzo P. Efraimidis Paolo Dini R. Koutsiamanis 49 13 0 19 Sep 2023
Long-term drought prediction using deep neural networks based on geospatial weather data Alexander Marusov Vsevolod Grabar Yury Maximov Nazar Sotiriadi Alexander Bulkin Alexey Zaytsev 102 10 0 12 Sep 2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series Chenxi Sun Hongyan Li Yaliang Li linda Qiao AI4TS 99 131 0 16 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 76 4 0 02 Aug 2023
Introducing Hybrid Modeling with Time-series-Transformers: A Comparative Study of Series and Parallel Approach in Batch Crystallization Niranjan Sitapure J. Kwon 107 38 0 25 Jul 2023
U-shaped Transformer: Retain High Frequency Context in Time Series Analysis Qing-Hong Chen Y. Zhang AI4TS 65 1 0 18 Jul 2023
A Machine Learning Pressure Emulator for Hydrogen Embrittlement Minh Triet Chau J. L. S. Almeida Elie Alhajjar A. C. N. Junior AI4CE 21 0 0 22 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 94 13 0 09 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 72 16 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 73 13 0 30 May 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 99 121 0 30 May 2023
TLNets: Transformation Learning Networks for long-range time-series prediction Wen Wang Yang Liu Haoqin Sun AI4TS 72 3 0 25 May 2023
Mlinear: Rethink the Linear Model for Time-series Forecasting Wei Li Xiangxu Meng Chuhao Chen Jianing Chen AI4TS 58 6 0 08 May 2023
Multi-modal learning for geospatial vegetation forecasting V. Benson Claire Robin C. Requena-Mesa Lazaro Alonso Nuno Carvalhais José A. Cortés Zhihan Gao Nora Linscheid M. Weynants Markus Reichstein 81 12 0 28 Mar 2023
It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting Lars Odegaard Bentsen N. Warakagoda R. Stenbro P. Engelstad AI4TS 23 1 0 23 Mar 2023
Effectively Modeling Time Series with Simple Discrete State Spaces Michael Zhang Khaled Kamal Saab Michael Poli Tri Dao Karan Goel Christopher Ré AI4TS 69 48 0 16 Mar 2023
Dynamic Grasping with a Learned Meta-Controller Yinsen Jia Jingxi Xu Dinesh Jayaraman Shuran Song 98 4 0 16 Feb 2023
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window Yuanpeng He AI4TS 60 0 0 31 Jan 2023
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting Nghia Duong-Trung Kiran Madhusudhanan Danh Le-Phuoc AI4TS 89 4 0 15 Dec 2022
Auxiliary Quantile Forecasting with Linear Networks Shayan Jawed Lars Schmidt-Thieme AI4TS 34 0 0 05 Dec 2022
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities Alexander C. DeRieux Walid Saad W. Zuo R. Budiarto M. D. Koerniawan D. Novitasari 27 1 0 18 Nov 2022
TILDE-Q: A Transformation Invariant Loss Function for Time-Series Forecasting Hyunwoo Lee Chunggi Lee H. Lim Sungahn Ko AI4TS 39 3 0 26 Oct 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan O. Arik Rose Yu AI4TS 98 28 0 07 Oct 2022
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 152 842 0 05 Oct 2022
An Attention Free Long Short-Term Memory for Time Series Forecasting Hugo Inzirillo Ludovic De Villelongue AI4TS 28 4 0 20 Sep 2022
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics Madhurima Panja Tanujit Chakraborty U. Kumar Nan Liu 66 20 0 21 Jun 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices Hansika Hewamalage Klaus Ackermann Christoph Bergmeir AI4TS 150 97 0 21 Mar 2022
Long-Range Transformers for Dynamic Spatiotemporal Forecasting J. E. Grigsby Zhe Wang Nam Nguyen Yanjun Qi AI4TS 121 94 0 24 Sep 2021
How to avoid machine learning pitfalls: a guide for academic researchers M. Lones VLM FaML OnRL 143 80 0 05 Aug 2021