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TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes

TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes

Zizhuo Meng
Boyu Li
Xuhui Fan
Zhidong Li
Yang Wang
Fang Chen
Feng Zhou
ArXiv (abs)PDFHTML

Papers citing "TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes"

3 / 3 papers shown
Title
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes
Maya Okawa
Tomoharu Iwata
Yusuke Tanaka
Hiroyuki Toda
Takeshi Kurashima
H. Kashima
AI4TS
64
11
0
24 May 2021
Transformer Hawkes Process
Transformer Hawkes Process
Simiao Zuo
Haoming Jiang
Zichong Li
T. Zhao
H. Zha
AI4TS
87
295
0
21 Feb 2020
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
272
3,136
0
19 May 2017

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