Are Transformers Effective for Time Series Forecasting?

26 May 2022

Ailing Zeng

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

41 / 541 papers shown

Title
Feature-aligned N-BEATS with Sinkhorn divergence Joon-Young Lee Myeongho Jeon Myung-joo Kang Kyung-soon Park AI4TS 19 0 0 24 May 2023
A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting Yushu Chen Shengzhuo Liu Jinzhe Yang Hao Jing Wenlai Zhao Guang-Wu Yang AI4TS 24 14 0 24 May 2023
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting Jinliang Deng Xiusi Chen Renhe Jiang Du Yin Yezhou Yang Xuan Song Ivor W. Tsang BDL AI4TS 32 15 0 22 May 2023
Forecasting Irregularly Sampled Time Series using Graphs Vijaya Krishna Yalavarthi Kiran Madusudanan Randolf Scholz Nourhan Ahmed Johannes Burchert Shayan Jawed Stefan Born Lars Schmidt-Thieme AI4TS 19 2 0 22 May 2023
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare Panayiotis Danassis Shresth Verma J. Killian Aparna Taneja Milind Tambe 8 6 0 22 May 2023
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting Xue Wang Tian Zhou Qingsong Wen Jinyang Gao Bolin Ding Rong Jin AI4TS 10 36 0 20 May 2023
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping Zhe Li Shiyi Qi Yiduo Li Zenglin Xu AI4TS 16 100 0 18 May 2023
A Survey on Time-Series Pre-Trained Models Qianli Ma Z. Liu Zhenjing Zheng Ziyang Huang Siying Zhu Zhongzhong Yu James T. Kwok AI4TS 21 50 0 18 May 2023
Mlinear: Rethink the Linear Model for Time-series Forecasting Wei Li Xiangxu Meng Chuhao Chen Jianing Chen AI4TS 11 6 0 08 May 2023
Revisiting the Encoding of Satellite Image Time Series Xin Cai Y. Bi Peter Nicholl Roy Sterritt AI4TS 24 3 0 03 May 2023
Long-term Forecasting with TiDE: Time-series Dense Encoder Abhimanyu Das Weihao Kong Andrew B. Leach Shaan Mathur Rajat Sen Rose Yu AI4TS 39 234 0 17 Apr 2023
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting Lu Han Han-Jia Ye De-Chuan Zhan AI4TS 18 82 0 11 Apr 2023
Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning Riccardo Ughi Eugenio Lomurno Matteo Matteucci AI4TS 11 1 0 10 Apr 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 19 11 0 28 Mar 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey G. Jin Yuxuan Liang Yuchen Fang Zezhi Shao Jincai Huang Junbo Zhang Yu Zheng AI4TS AI4CE 81 178 0 25 Mar 2023
It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting Lars Odegaard Bentsen N. Warakagoda R. Stenbro P. Engelstad AI4TS 8 1 0 23 Mar 2023
Discovering Predictable Latent Factors for Time Series Forecasting Jingyi Hou Zhen Dong Jiayu Zhou Zhijie Liu AI4TS BDL 22 1 0 18 Mar 2023
Causal Temporal Graph Convolutional Neural Networks (CTGCN) Abigail Langbridge Fearghal O'Donncha Amadou Ba Fabio Lorenzi Christopher Lohse J. Ploennigs GNN 13 1 0 16 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 22 44 0 16 Mar 2023
Model scale versus domain knowledge in statistical forecasting of chaotic systems W. Gilpin AI4TS 25 13 0 13 Mar 2023
TSMixer: An All-MLP Architecture for Time Series Forecasting Si-An Chen Chun-Liang Li Nate Yoder Sercan Ö. Arik Tomas Pfister AI4TS 22 150 0 10 Mar 2023
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System Chao Xue W. Liu Shunxing Xie Zhenfang Wang Jiaxing Li ... Shi-Yong Chen Yibing Zhan Jing Zhang Chaoyue Wang Dacheng Tao 27 1 0 01 Mar 2023
Your time series is worth a binary image: machine vision assisted deep framework for time series forecasting Luoxiao Yang Xinqi Fan Zijun Zhang AI4TS 13 3 0 28 Feb 2023
One Fits All:Power General Time Series Analysis by Pretrained LM Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 23 373 0 23 Feb 2023
Dynamic Grasping with a Learned Meta-Controller Yinsen Jia Jingxi Xu Dinesh Jayaraman Shuran Song 39 4 0 16 Feb 2023
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing Zhe Li Zhongwen Rao Lujia Pan Zenglin Xu AI4TS 8 59 0 09 Feb 2023
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window Yuanpeng He AI4TS 11 0 0 31 Jan 2023
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean Anton Thielmann René-Marcel Kruse Thomas Kneib Benjamin Säfken 19 12 0 27 Jan 2023
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting Nghia Duong-Trung Kiran Madhusudhanan Danh Le-Phuoc AI4TS 30 4 0 15 Dec 2022
Auxiliary Quantile Forecasting with Linear Networks Shayan Jawed Lars Schmidt-Thieme AI4TS 20 0 0 05 Dec 2022
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers Yuqi Nie Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AIFin AI4TS 24 1,190 0 27 Nov 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 10 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 11 2 0 26 Oct 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan Ö. Arik Rose Yu AI4TS 28 22 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 43 693 0 05 Oct 2022
An Attention Free Long Short-Term Memory for Time Series Forecasting Hugo Inzirillo Ludovic De Villelongue AI4TS 8 3 0 20 Sep 2022
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics Madhurima Panja Tanujit Chakraborty U. Kumar Nan Liu 24 19 0 21 Jun 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices Hansika Hewamalage Klaus Ackermann Christoph Bergmeir AI4TS 65 86 0 21 Mar 2022
Long-Range Transformers for Dynamic Spatiotemporal Forecasting J. E. Grigsby Zhe Wang Nam Nguyen Yanjun Qi AI4TS 58 87 0 24 Sep 2021
How to avoid machine learning pitfalls: a guide for academic researchers M. Lones VLM FaML OnRL 54 75 0 05 Aug 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 167 3,855 0 14 Dec 2020