no code implementations • 29 Sep 2021 • Liangliang Shi, Fangyu Ding, Junchi Yan, Yanjie Duan, Guangjian Tian
Despite the fast advance in neural temporal point processes (NTPP) which enjoys high model capacity, there are still some standing gaps to fill including model expressiveness, predictability, and interpretability, especially with the wide application of event sequence modeling.
no code implementations • 31 Jan 2021 • Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian
Time-series is ubiquitous across applications, such as transportation, finance and healthcare.
1 code implementation • ICML 2020 • Jingyu Zhao, Feiqing Huang, Jia Lv, Yanjie Duan, Zhen Qin, Guodong Li, Guangjian Tian
The LSTM network was proposed to overcome the difficulty in learning long-term dependence, and has made significant advancements in applications.