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Ajitesh Srivastava
Ajitesh Srivastava
Research Assistant Professor, University of Southern California
Verified email at usc.edu - Homepage
Title
Cited by
Cited by
Year
Graphsaint: Graph sampling based inductive learning method
H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna
arXiv preprint arXiv:1907.04931, 2019
4732019
Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios—United States, April–September 2021
RK Borchering, C Viboud, E Howerton, CP Smith, S Truelove, MC Runge, ...
Morbidity and Mortality Weekly Report 70 (19), 719, 2021
992021
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, AJC Rivadeneira, ...
Medrxiv, 2021
712021
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
572019
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), 1-16, 2021
47*2021
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
452018
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
43*2021
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
412022
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
362015
Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJ Model
A Srivastava, T Xu, VK Prasanna
arXiv preprint arXiv:2007.05180, 2020
312020
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
202015
Influence in social networks: A unified model?
A Srivastava, C Chelmis, VK Prasanna
2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014
202014
Computational models of technology adoption at the workplace
C Chelmis, A Srivastava, VK Prasanna
Social Network Analysis and Mining 4 (1), 1-18, 2014
192014
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
162022
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
162019
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
142020
The unified model of social influence and its application in influence maximization
A Srivastava, C Chelmis, VK Prasanna
Social Network Analysis and Mining 5 (1), 1-15, 2015
142015
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
132021
Learning to Forecast and Forecasting to Learn from the COVID-19 Pandemic
A Srivastava, VK Prasanna
arXiv preprint arXiv:2004.11372, 2020
122020
Oscar: Optimizing scratchpad reuse for graph processing
SG Singapura, A Srivastava, R Kannan, VK Prasanna
2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2017
122017
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