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

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"

19 / 19 papers shown

Title
Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation Eyal Yakir Dor Tsur H. Permuter AI4TS 61 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 39 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 36 6 0 03 Nov 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 41 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 Zeen Song Huijie Guo Jianqi Zhang Changwen Zheng Wenwen Qiang AI4TS 32 4 0 17 Jul 2024
Membership Inference Attacks Against Time-Series Models Noam Koren Abigail Goldsteen Ariel Farkash Guy Amit 21 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 38 6 0 29 Jun 2024
Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform Noam Koren Kira Radinsky AI4TS 31 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 26 0 0 22 May 2024
Time Series Diffusion in the Frequency Domain Jonathan Crabbé Nicolas Huynh Jan Stanczuk M. Schaar DiffM 11 10 0 08 Feb 2024
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 26 82 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 50 40 0 10 Nov 2023
Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth Qingshuang Sun Denis Steckelmacher Y. Yao Ann Nowé Raphael Avalos AI4CE 14 0 0 16 Jun 2023
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 23 3 0 06 Oct 2022
FreDo: Frequency Domain-based Long-Term Time Series Forecasting Fan-Keng Sun Duane S. Boning AI4TS 34 8 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 109 165 0 18 May 2022
Filter-enhanced MLP is All You Need for Sequential Recommendation Kun Zhou Hui Yu Wayne Xin Zhao Ji-Rong Wen 75 251 0 28 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 105 391 0 03 Feb 2022
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 197 2,254 0 18 Oct 2020