Nayana Bannur
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Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
Adaptive COVID-19 forecasting via Bayesian optimization
N Bannur, H Maheshwari, S Jain, S Shetty, S Merugu, A Raval
Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021
Synthetic Data Generation for Improved covid-19 Epidemic Forecasting
N Bannur, V Shah, A Raval, J White
medRxiv, 2020.12. 04.20243956, 2020
Interpretability of Epidemiological Models: The Curse of Non-Identifiability
A Deva, S Shingi, A Tiwari, N Bannur, S Jain, J White, A Raval, S Merugu
ICLR Workshop on AI for Public Health, arXiv preprint arXiv:2104.14821, 2021
Deploying COVID-19 Case Forecasting Models in the Developing World
AR Sansiddh Jain, Avtansh Tiwari, Nayana Bannur, Ayush Deva, Siddhant Shingi ...
AI for Social Impact, 2022
A Flexible Data-Driven Framework for COVID-19 Case Forecasting Deployed in a Developing-world Public Health Setting
S Jain, A Tiwari, N Bannur, A Deva, S Shingi, V Shah, M Kulkarni, N Deka, ...
medRxiv, 2021.11. 01.21260020, 2021
Managing an SIR Epidemic System via Optimal Control of Transmission Rate
H Maheshwari, S Shetty, N Bannur, S Merugu
ICLR Workshop on Machine Learning for Preventing and Combating Pandemics, 2021
CoSIR: Optimal control of SIR epidemic dynamics by mapping to Lotka-Volterra System
H Maheshwari, S Shetty, N Bannur, S Merugu
medRxiv, 2020.11. 10.20211995, 2021
CoSIR: Managing an Epidemic via Optimal Adaptive Control of Transmission Rate Policy
H Maheshwari, S Shetty, N Bannur, S Merugu
medRxiv, 2021
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