A Survey on Deep Learning based Time Series Analysis with Frequency Transformation

4 February 2023

Papers citing "A Survey on Deep Learning based Time Series Analysis with Frequency Transformation"

50 / 61 papers shown

Title
CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting Xingyu Zhang Wenwen Qiang Siyu Zhao Huijie Guo Jiangmeng Li Chuxiong Sun Changwen Zheng AI4TS 36 0 0 22 May 2025
Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting Ziyu Zhou Jiaxi Hu Qingsong Wen James T. Kwok Yuxuan Liang AI4TS 60 1 0 17 May 2025
Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation Eyal Yakir Dor Tsur Haim Permuter AI4TS 83 0 0 27 Feb 2025
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting Guoqi Yu Yaoming Li Juncheng Wang Xiaoyu Guo Angelica I. Aviles-Rivero Tong Yang Shujun Wang AI4TS 61 0 0 24 Feb 2025
FilterNet: Harnessing Frequency Filters for Time Series Forecasting Kun Yi Jingru Fei Qi Zhang Hui He Shufeng Hao Defu Lian Wei Fan AI4TS 64 11 0 03 Nov 2024
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching Xingjian Wu Xiangfei Qiu Zhengyu Li Yihang Wang Jilin Hu Chenjuan Guo Hui Xiong Bin Yang AI4TS 86 14 0 16 Oct 2024
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting Weiwei Ye Songgaojun Deng Qiaosha Zou Ning Gui AI4TS 44 8 0 30 Sep 2024
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift Hui He Qi Zhang Kun Yi Xiaojun Xue Shoujin Wang Liang Hu Longbin Cao OOD AI4TS 70 0 0 18 Jul 2024
Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting Xingyu Zhang Siyu Zhao Changwen Zheng Huijie Guo Jianqi Zhang Changwen Zheng Jingyao Wang AI4TS 52 6 0 17 Jul 2024
Membership Inference Attacks Against Time-Series Models Noam Koren Abigail Goldsteen Ariel Farkash Guy Amit 72 0 0 03 Jul 2024
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting Wei Fan Kun Yi Hangting Ye Zhiyuan Ning Qi Zhang Ning An AI4TS 69 9 0 29 Jun 2024
Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform Noam Koren Kira Radinsky AI4TS 47 2 0 22 May 2024
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series Alexis-Raja Brachet Pierre-Yves Richard Céline Hudelot AI4CE 42 0 0 22 May 2024
Foundation Models for Time Series Analysis: A Tutorial and Survey Yuxuan Liang Haomin Wen Yuqi Nie Yushan Jiang Ming Jin Dongjin Song Shirui Pan Qingsong Wen AI4TS AI4CE 104 129 0 21 Mar 2024
Time Series Diffusion in the Frequency Domain Jonathan Crabbé Nicolas Huynh Jan Stanczuk M. Schaar DiffM 58 11 0 08 Feb 2024
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective Zexin Wang Changhua Pei Minghua Ma Xin Wang Zhihan Li ... Dongmei Zhang Qingwei Lin Haiming Zhang Jianhui Li Gaogang Xie AI4TS 54 32 0 05 Feb 2024
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection Feiyi Chen Yingying Zhang Zhen Qin Lunting Fan Renhe Jiang Yuxuan Liang Qingsong Wen Shuiguang Deng AI4TS 49 5 0 26 Nov 2023
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Kun Yi Qi Zhang Wei Fan Hui He Liang Hu Pengyang Wang Ning An Longbin Cao ZhenDong Niu AI4TS 52 109 0 10 Nov 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting Kun Yi Qi Zhang Wei Fan Shoujin Wang Pengyang Wang Hui He Defu Lian Ning An Longbin Cao ZhenDong Niu AI4TS 68 140 0 10 Nov 2023
FITS: Modeling Time Series with $10k$ Parameters Zhijian Xu Ailing Zeng Qiang Xu AI4TS 35 90 0 06 Jul 2023
Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth Qingshuang Sun Denis Steckelmacher Yuan Yao Ann Nowé Raphael Avalos AI4CE 48 0 0 16 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 133 103 0 16 Jun 2023
Deep Learning for Time Series Anomaly Detection: A Survey Zahra Zamanzadeh Darban G. I. Webb Shirui Pan Charu C. Aggarwal Mahsa Salehi AI4TS 52 136 0 09 Nov 2022
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 60 67 0 18 Oct 2022
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting Kun Yi Qi Zhang Liang Hu Hui He Ning An LongBing Cao ZhenDong Niu AI4TS 70 3 0 06 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 98 756 0 05 Oct 2022
Learning Deep Time-index Models for Time Series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Guosheng Lin AI4TS AI4CE 44 26 0 13 Jul 2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang Ziyuan Zhao Theodoros Tsiligkaridis Marinka Zitnik AI4TS 61 274 0 17 Jun 2022
FreDo: Frequency Domain-based Long-Term Time Series Forecasting Fan-Keng Sun Duane S. Boning AI4TS 73 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 123 174 0 18 May 2022
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting Wei Fan Shun Zheng Xiaohan Yi Wei Cao Yanjie Fu Jiang Bian Tie-Yan Liu AI4TS 13 47 0 15 Mar 2022
Filter-enhanced MLP is All You Need for Sequential Recommendation Kun Zhou Hui Yu Wayne Xin Zhao Ji-Rong Wen 121 262 0 28 Feb 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion Ling Yang linda Qiao AI4TS 40 120 0 08 Feb 2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Steven C. H. Hoi AI4TS 132 397 0 03 Feb 2022
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Guosheng Lin AI4TS 57 165 0 03 Feb 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting Tian Zhou Ziqing Ma Qingsong Wen Xue Wang Liang Sun Rong Jin AI4TS 135 1,357 0 30 Jan 2022
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers John Guibas Morteza Mardani Zong-Yi Li Andrew Tao Anima Anandkumar Bryan Catanzaro 53 234 0 24 Nov 2021
Neural Operator: Learning Maps Between Function Spaces Nikola B. Kovachki Zong-Yi Li Burigede Liu Kamyar Azizzadenesheli K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 78 444 0 19 Aug 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 82 2,168 0 24 Jun 2021
Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series Gabriel Michau Gaetan Frusque Olga Fink AI4TS 99 75 0 03 May 2021
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT Zekai Chen Dingshuo Chen Xiao Zhang Zixuan Yuan Xiuzhen Cheng AI4TS 28 335 0 08 Apr 2021
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting Defu Cao Yujing Wang Juanyong Duan Ce Zhang Xia Zhu ... Yunhai Tong Bixiong Xu Jing Bai Jie Tong Qi Zhang AI4TS 28 507 0 13 Mar 2021
Clustering Interval-Censored Time-Series for Disease Phenotyping Irene Y. Chen Rahul G. Krishnan David Sontag OOD 27 16 0 13 Feb 2021
FcaNet: Frequency Channel Attention Networks Zequn Qin Pengyi Zhang Fei Wu Xi Li 65 689 0 22 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 392 2,355 0 18 Oct 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting Lei Bai Lina Yao Can Li Xianzhi Wang Can Wang GNN AI4TS 48 1,165 0 06 Jul 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey Konstantinos Benidis Syama Sundar Rangapuram Valentin Flunkert Bernie Wang Danielle C. Maddix ... David Salinas Lorenzo Stella François-Xavier Aubet Laurent Callot Tim Januschowski AI4TS 61 179 0 21 Apr 2020
Time Series Data Augmentation for Deep Learning: A Survey Qingsong Wen Liang Sun Fan Yang Xiaomin Song Jing Gao Xue Wang Huan Xu AI4TS 43 640 0 27 Feb 2020
Learning in the Frequency Domain Kai Xu Minghai Qin Fei Sun Yuhao Wang Yen-kuang Chen Fengbo Ren 72 400 0 27 Feb 2020
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks Jing Gao Xiaomin Song Qingsong Wen Pichao Wang Liang Sun Huan Xu AI4TS 31 133 0 21 Feb 2020