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Ajitesh Srivastava
Ajitesh Srivastava
Research Assistant Professor, University of Southern California
Verifierad e-postadress på usc.edu - Startsida
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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
9502019
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
159*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
1582022
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
1462021
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
902021
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
782019
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
75*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
532018
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
482021
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
392015
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
372023
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
362022
Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJ Model
A Srivastava, T Xu, VK Prasanna
arXiv preprint arXiv:2007.05180, 2020
352020
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
342019
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
262015
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
242023
Influence in social networks: A unified model?
A Srivastava, C Chelmis, VK Prasanna
2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014
212014
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
202020
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
202020
Computational models of technology adoption at the workplace
C Chelmis, A Srivastava, VK Prasanna
Social Network Analysis and Mining 4, 1-18, 2014
192014
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Artiklar 1–20