| Graphsaint: Graph sampling based inductive learning method H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna arXiv preprint arXiv:1907.04931, 2019 | 1285 | 2019 |
| 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 | 248 | 2022 |
| Decoupling the depth and scope of graph neural networks H Zeng, M Zhang, Y Xia, A Srivastava, A Malevich, R Kannan, V Prasanna, ... Advances in Neural Information Processing Systems 34, 19665-19679, 2021 | 232* | 2021 |
| Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios—United States, April–September 2021 RK Borchering MMWR. Morbidity and Mortality Weekly Report 70, 2021 | 165 | 2021 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Medrxiv, 2021.02. 03.21250974, 2021 | 92 | 2021 |
| A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave J Bracher, D Wolffram, J Deuschel, K Görgen, JL Ketterer, A Ullrich, ... Nature communications 12 (1), 5173, 2021 | 91* | 2021 |
| Accurate, efficient and scalable graph embedding H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019 | 90 | 2019 |
| Accelerating large scale real-time GNN inference using channel pruning H Zhou, A Srivastava, H Zeng, R Kannan, V Prasanna arXiv preprint arXiv:2105.04528, 2021 | 71 | 2021 |
| Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandmann, ... Elife 12, e81916, 2023 | 62 | 2023 |
| Behind-the-meter solar generation disaggregation using consumer mixture models CM Cheung, W Zhong, C Xiong, A Srivastava, R Kannan, VK Prasanna 2018 IEEE International Conference on Communications, Control, and Computing …, 2018 | 60 | 2018 |
| Predicting memory accesses: the road to compact ml-driven prefetcher A Srivastava, A Lazaris, B Brooks, R Kannan, VK Prasanna Proceedings of the International Symposium on Memory Systems, 461-470, 2019 | 44 | 2019 |
| Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination S Truelove, CP Smith, M Qin, LC Mullany, RK Borchering, J Lessler, ... Elife 11, e73584, 2022 | 43 | 2022 |
| A hybrid design for high performance large-scale sorting on FPGA A Srivastava, R Chen, VK Prasanna, C Chelmis 2015 International Conference on ReConFigurable Computing and FPGAs …, 2015 | 40 | 2015 |
| Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJ Model A Srivastava, T Xu, VK Prasanna arXiv preprint arXiv:2007.05180, 2020 | 37 | 2020 |
| Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: A multi … RK Borchering, LC Mullany, E Howerton, M Chinazzi, CP Smith, M Qin, ... The Lancet Regional Health–Americas 17, 2023 | 34 | 2023 |
| Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty E Howerton, L Contamin, LC Mullany, M Qin, NG Reich, S Bents, ... Nature communications 14 (1), 7260, 2023 | 29 | 2023 |
| Social influence computation and maximization in signed networks with competing cascades A Srivastava, C Chelmis, VK Prasanna Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 27 | 2015 |
| Raop: Recurrent neural network augmented offset prefetcher P Zhang, A Srivastava, B Brooks, R Kannan, VK Prasanna Proceedings of the International Symposium on Memory Systems, 352-362, 2020 | 26 | 2020 |
| Fine-grained address segmentation for attention-based variable-degree prefetching P Zhang, A Srivastava, AV Nori, R Kannan, VK Prasanna Proceedings of the 19th ACM International Conference on Computing Frontiers …, 2022 | 24 | 2022 |
| Reuse kernels or activations? A flexible dataflow for low-latency spectral CNN acceleration Y Niu, R Kannan, A Srivastava, V Prasanna Proceedings of the 2020 ACM/SIGDA International Symposium on Field …, 2020 | 24 | 2020 |
Charalampos ChelmisAssociate Professor, University at Albany - State University of New YorkVerified email at albany.edu
