First De-Trend then Attend: Rethinking Attention for Time-Series
Forecasting

First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting

15 December 2022

Karthick Gopalswamy

Gaurav Gupta

Danielle C. Maddix

Papers citing "First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting"

17 / 17 papers shown

Title
A Novel Spatiotemporal Correlation Anomaly Detection Method Based on Time-Frequency-Domain Feature Fusion and a Dynamic Graph Neural Network in Wireless Sensor Network Miao Ye Zhibang Jiang Xingsi Xue Xingwang Li Peng Wen Yong Wang AI4TS 41 0 0 25 Feb 2025
WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series Forecasting Aobo Liang Y. Sun Nadra Guizani AI4TS 34 1 0 30 Oct 2024
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting Guoqi Yu Yaoming Li Xiaoyu Guo Dayu Wang Zirui Liu Shujun Wang Tong Yang AI4TS 159 0 0 22 Oct 2024
D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding Xiaobao Song Hao Wang Liwei Deng Yuxin He Wenming Cao Chi-Sing Leungc AI4TS 35 0 0 17 Sep 2024
Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting Jingjing Xu Caesar Wu Yuan-Fang Li Grégoire Danoy Pascal Bouvry AI4TS 40 1 0 29 Jul 2024
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting Jiaxi Hu Qingsong Wen Sijie Ruan Li Liu Yuxuan Liang AI4TS 36 5 0 06 Jun 2024
Multi-Scale and Multi-Modal Contrastive Learning Network for Biomedical Time Series Hongbo Guo Xinzi Xu Hao Wu Guoxing Wang AI4TS 21 1 0 06 Dec 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 32 74 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 28 3 0 02 Aug 2023
U-shaped Transformer: Retain High Frequency Context in Time Series Analysis Qing-Hong Chen Y. Zhang AI4TS 32 1 0 18 Jul 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 29 1 0 28 May 2023
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping Zhe Li Shiyi Qi Yiduo Li Zenglin Xu AI4TS 23 103 0 18 May 2023
FreDo: Frequency Domain-based Long-Term Time Series Forecasting Fan-Keng Sun Duane S. Boning AI4TS 47 11 0 24 May 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting Tian Zhou Ziqing Ma Xue Wang Qingsong Wen Liang Sun Tao Yao Wotao Yin Rong Jin AI4TS 121 170 0 18 May 2022
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 126 202 0 28 Sep 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 169 3,900 0 14 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 238 2,298 0 18 Oct 2020