| 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 | 217 | 2022 |
| Synthetic Data Generation for Improved covid-19 Epidemic Forecasting N Bannur, V Shah, A Raval, J White medRxiv, 2020.12. 04.20243956, 2020 | 12 | 2020 |
| 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 | 8 | 2021 |
| 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 | 4 | 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 | 1 | 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 | | 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 | | 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 | | 2021 |
| CoSIR: Managing an Epidemic via Optimal Adaptive Control of Transmission Rate Policy H Maheshwari, S Shetty, N Bannur, S Merugu medRxiv, 2021 | | 2021 |
Srujana MeruguAmazonVerified email at amazon.com
