TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information

28 January 2020

Papers citing "TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information"

4 / 4 papers shown

Title
Data-Centric Epidemic Forecasting: A Survey Alexander Rodríguez Harshavardhan Kamarthi Pulak Agarwal Javen Ho Mira Patel Suchet Sapre B. Prakash OOD 29 18 0 19 Jul 2022
Models for COVID-19 Pandemic: A Comparative Analysis A. Adiga Devdatt Dubhashi B. Lewis Madhav Marathe S. Venkatramanan A. Vullikanti 6 146 0 21 Sep 2020
Interpretable Sequence Learning for COVID-19 Forecasting Sercan Ö. Arik Chun-Liang Li Jinsung Yoon Rajarishi Sinha Arkady Epshteyn ... Martin Nikoltchev Yash Sonthalia Hootan Nakhost Elli Kanal Tomas Pfister AI4TS 20 83 0 03 Aug 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015