Yulia Rubanova, Tian Qi Chen, David Duvenaud. Latent Ordinary Differential Equations for Irregularly-Sampled Time Series. 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 5321-5331, 2019. [doi]
@inproceedings{RubanovaCD19,
title = {Latent Ordinary Differential Equations for Irregularly-Sampled Time Series},
author = {Yulia Rubanova and Tian Qi Chen and David Duvenaud},
year = {2019},
url = {http://papers.nips.cc/paper/8773-latent-ordinary-differential-equations-for-irregularly-sampled-time-series},
researchr = {https://researchr.org/publication/RubanovaCD19},
cites = {0},
citedby = {0},
pages = {5321-5331},
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},
}