Ajitesh Srivastava
Cited by
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Graphsaint: Graph sampling based inductive learning method
H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna
arXiv preprint arXiv:1907.04931, 2019
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
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
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
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
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
EY Cramer, VK Lopez, J Niemi, GE George, JC Cegan, ID Dettwiller, ...
medRxiv, 2021
Computational models of technology adoption at the workplace
C Chelmis, A Srivastava, VK Prasanna
Social Network Analysis and Mining 4 (1), 199, 2014
Influence in social networks: A unified model?
A Srivastava, C Chelmis, VK Prasanna
2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014
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
Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJ Model
A Srivastava, T Xu, VK Prasanna
arXiv preprint arXiv:2007.05180, 2020
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
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
Effects of a soft cut-off on node-degree in the Twitter social network
S Ghosh, A Srivastava, N Ganguly
Computer Communications 35 (7), 784-795, 2012
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
Learning to Forecast and Forecasting to Learn from the COVID-19 Pandemic
A Srivastava, VK Prasanna
arXiv preprint arXiv:2004.11372, 2020
Degree distributions of evolving alphabetic bipartite networks and their projections
N Ganguly, S Ghosh, T Krueger, A Srivastava
Theoretical Computer Science 466, 20-36, 2012
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
On predicting crime with heterogeneous spatial patterns: methods and evaluation
C Xiong, A Srivastava, R Kannan, O Damle, V Prasanna, E Southers
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019
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
Rapid data integration and analysis for upstream oil and gas applications
CM Cheung, P Goyal, G Harris, O Patri, A Srivastava, Y Zhang, ...
SPE Annual Technical Conference and Exhibition, 2015
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Articles 1–20