Giovanni Charles, Timothy M. Wolock, Peter Winskill, Azra C. Ghani, Samir Bhatt, Seth R. Flaxman. Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference. In Brian Williams 0001, Yiling Chen 0001, Jennifer Neville, editors, Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023. pages 14170-14177, AAAI Press, 2023. [doi]
@inproceedings{CharlesWWGBF23,
title = {Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference},
author = {Giovanni Charles and Timothy M. Wolock and Peter Winskill and Azra C. Ghani and Samir Bhatt and Seth R. Flaxman},
year = {2023},
url = {https://ojs.aaai.org/index.php/AAAI/article/view/26658},
researchr = {https://researchr.org/publication/CharlesWWGBF23},
cites = {0},
citedby = {0},
pages = {14170-14177},
booktitle = {Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023},
editor = {Brian Williams 0001 and Yiling Chen 0001 and Jennifer Neville},
publisher = {AAAI Press},
isbn = {978-1-57735-880-0},
}