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SSDNet: State Space Decomposition Neural Network for Time Series
  Forecasting

SSDNet: State Space Decomposition Neural Network for Time Series Forecasting

19 December 2021
Yang Lin
I. Koprinska
Mashud Rana
    BDL
    AI4TS
ArXivPDFHTML

Papers citing "SSDNet: State Space Decomposition Neural Network for Time Series Forecasting"

12 / 12 papers shown
Title
Interpretable Spatial-Temporal Fusion Transformers: Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs
Interpretable Spatial-Temporal Fusion Transformers: Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs
Shuwen Sun
Lihong Feng
P. Benner
47
0
0
01 May 2025
Conformal time series decomposition with component-wise exchangeability
Conformal time series decomposition with component-wise exchangeability
Derck W. E. Prinzhorn
Thijmen Nijdam
Putri A. van der Linden
Alexander Timans
41
2
0
24 Jun 2024
XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation
XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation
Du Yin
Hao Xue
Arian Prabowo
Shuang Ao
Flora Salim
AI4TS
29
0
0
18 Jun 2024
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting
Aobo Liang
Xingguo Jiang
Y. Sun
Xiaohou Shi
Ke Li
AI4TS
Mamba
26
5
0
24 Apr 2024
Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition with
  Completeness Analysis
Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition with Completeness Analysis
Andi Chen
Hua‐Lei Yin
Zeng-Bing Chen
Shengjun Wu
34
0
0
09 Mar 2024
A Systematic Review for Transformer-based Long-term Series Forecasting
A Systematic Review for Transformer-based Long-term Series Forecasting
Liyilei Su
Xumin Zuo
Rui Li
Xin Wang
Heng Zhao
Bingding Huang
AI4TS
34
4
0
31 Oct 2023
AMLNet: Adversarial Mutual Learning Neural Network for
  Non-AutoRegressive Multi-Horizon Time Series Forecasting
AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting
Yang Lin
AI4TS
28
0
0
30 Oct 2023
Disentangling Structured Components: Towards Adaptive, Interpretable and
  Scalable Time Series Forecasting
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
Improving Accuracy Without Losing Interpretability: A ML Approach for
  Time Series Forecasting
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting
Yiqi Sun
Zheng Shi
Jianshen Zhang
Yongzhi Qi
Hao Hu
Zuo-jun Shen
AI4TS
16
0
0
13 Dec 2022
Probabilistic Decomposition Transformer for Time Series Forecasting
Probabilistic Decomposition Transformer for Time Series Forecasting
Junlong Tong
Liping Xie
Wankou Yang
Kanjian Zhang
AI4TS
22
5
0
31 Oct 2022
Learning Interpretable Deep State Space Model for Probabilistic Time
  Series Forecasting
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting
Longyuan Li
Junchi Yan
Xiaokang Yang
Yaohui Jin
OOD
BDL
AI4TS
37
60
0
31 Jan 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
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
3,876
0
14 Dec 2020
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