Graphsaint: Graph sampling based inductive learning method H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna
arXiv preprint arXiv:1907.04931, 2019
1315 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
255 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
237 * 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
163 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
92 * 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 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
92 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
69 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
58 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
43 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
42 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 A Srivastava, T Xu, VK Prasanna
arXiv preprint arXiv:2007.05180, 2020
37 2020 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
33 2023 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
33 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
25 2020 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 Influence in social networks: A unified model? A Srivastava, C Chelmis, VK Prasanna
2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014
24 2014 
Charalampos ChelmisAssociate Professor, University at Albany - State University of New YorkПотвърден имейл адрес: albany.edu