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Explainable Tensorized Neural Ordinary Differential Equations
  forArbitrary-step Time Series Prediction

Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
26 November 2020
Penglei Gao
Xi Yang
Rui Zhang
Kaizhu Huang
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction"

8 / 8 papers shown
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for
  Predicting Blood Glucose Levels via Multivariate Time Series
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series
Chengzhe Piao
Taiyu Zhu
S. Baldeweg
Paul Taylor
Pantelis Georgiou
Jiahao Sun
Jun Wang
Kezhi Li
AI4TS
274
13
0
26 Feb 2024
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture
  Instantaneous and Long-term Effects in Time Series
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time SeriesInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Chaoqun Wang
Yijun Li
Xiangqian Sun
Qi Wu
DongDong Wang
Zhixiang Huang
FAttAI4TS
291
4
0
26 Aug 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
Probabilistic Learning of Multivariate Time Series with Temporal IrregularityIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Yijun Li
Cheuk Hang Leung
Qi Wu
AI4TS
365
1
0
15 Jun 2023
Learning Informative Representation for Fairness-aware Multivariate
  Time-series Forecasting: A Group-based Perspective
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based PerspectiveIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Hui He
Tao Gui
Shoujin Wang
Kun Yi
ZhenDong Niu
Longbin Cao
AI4TS
283
20
0
27 Jan 2023
EgPDE-Net: Building Continuous Neural Networks for Time Series
  Prediction with Exogenous Variables
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous VariablesIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2022
Penglei Gao
Xi Yang
Rui Zhang
Ping Guo
John Y. Goulermas
Kaizhu Huang
AI4TS
360
10
0
03 Aug 2022
Attentive Neural Controlled Differential Equations for Time-series
  Classification and Forecasting
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting
Sheo Yon Jhin
H. Shin
Seoyoung Hong
Solhee Park
Noseong Park
AI4TS
207
39
0
04 Sep 2021
ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations
ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential EquationsKnowledge Discovery and Data Mining (KDD), 2021
Sheo Yon Jhin
Minju Jo
Taeyong Kong
Jinsung Jeon
Noseong Park
BDL
206
20
0
31 May 2021
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
Thomas Rojat
Raphael Puget
David Filliat
Javier Del Ser
R. Gelin
Natalia Díaz Rodríguez
XAIAI4TS
367
174
0
02 Apr 2021
1
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