Enhancing Event Sequence Modeling with Contrastive Relational Inference-Reference-Cited by-同舟云学术

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Enhancing Event Sequence Modeling with Contrastive Relational Inference

Published:2024-04-14 Issue: Volume: Page:6145-6149
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Wang Yan¹,Chu Zhixuan¹,Zhou Tao¹,Jiang Caigao¹,Hao Hongyan¹,Zhu Minjie¹,Cai Xindong¹,Cui Qing¹,Li Longfei¹,Zhang James Y¹,Xue Siqiao¹,Zhou Jun¹

Affiliation:

1. Ant Group

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446896.pdf?arnumber=10446896

Reference24 articles.

1. The neural hawkes process: A neurally self-modulating multivariate point process;Mei;NeurIPS,2017

2. HYPRO: A hybridly normalized probabilistic model for long-horizon prediction of event sequences;Xue;NeurIPS,2022

3. Neural Temporal Point Processes: A Review

4. Easytpp: Towards open benchmarking the temporal point processes;Xue;CoRR,2023

5. Recurrent Marked Temporal Point Processes

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