Takahiro Omi, Naonori Ueda, Kazuyuki Aihara. Fully Neural Network based Model for General Temporal Point Processes. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 2120-2129, 2019. [doi]
@inproceedings{OmiUA19,
title = {Fully Neural Network based Model for General Temporal Point Processes},
author = {Takahiro Omi and Naonori Ueda and Kazuyuki Aihara},
year = {2019},
url = {http://papers.nips.cc/paper/8485-fully-neural-network-based-model-for-general-temporal-point-processes},
researchr = {https://researchr.org/publication/OmiUA19},
cites = {0},
citedby = {0},
pages = {2120-2129},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}