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Decoupled Learning for Factorial Marked Temporal Point Processes

Decoupled Learning for Factorial Marked Temporal Point Processes

21 January 2018
Weichang Wu
Junchi Yan
Xiaokang Yang
H. Zha
ArXiv (abs)PDFHTML

Papers citing "Decoupled Learning for Factorial Marked Temporal Point Processes"

5 / 5 papers shown
Title
CEP3: Community Event Prediction with Neural Point Process on Graph
CEP3: Community Event Prediction with Neural Point Process on Graph
Xuhong Wang
Sirui Chen
Yixuan He
Minjie Wang
Quan Gan
Yupu Yang
Junchi Yan
73
1
0
21 May 2022
Synergetic Learning of Heterogeneous Temporal Sequences for
  Multi-Horizon Probabilistic Forecasting
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting
Longyuan Li
Jihai Zhang
Junchi Yan
Yaohui Jin
Yunhao Zhang
Yanjie Duan
Guangjian Tian
AI4TS
43
17
0
31 Jan 2021
AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly
  Supervised Action Recognition and Localization
AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization
Xiaoyu Zhang
Changsheng Li
Haichao Shi
Xiaobin Zhu
Peng Li
Jing Dong
67
37
0
27 Nov 2019
Modeling Event Propagation via Graph Biased Temporal Point Process
Modeling Event Propagation via Graph Biased Temporal Point Process
Weichang Wu
Huanxi Liu
Xiaohu Zhang
Yu Liu
H. Zha
58
37
0
05 Aug 2019
Reinforcement Learning with Policy Mixture Model for Temporal Point
  Processes Clustering
Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering
Weichang Wu
Junchi Yan
Xiaokang Yang
H. Zha
80
3
0
29 May 2019
1