Correlated stochastic block models: Exact graph matching with applications to recovering communities M Racz, A Sridhar Advances in Neural Information Processing Systems 34, 22259-22273, 2021 | 39 | 2021 |
Modeling and analysis of the spread of COVID-19 under a multiple-strain model with mutations O Yagan, A Sridhar, R Eletreby, S Levin, JB Plotkin, HV Poor Harv. Data Sci. Rev 4, 2021 | 28 | 2021 |
Correlated randomly growing graphs MZ Rácz, A Sridhar Annals of Applied Probability 32 (2), 1058-1111, 2022 | 22 | 2022 |
Exact Community Recovery in Correlated Stochastic Block Models J Gaudio, MZ Racz, A Sridhar Proceedings of Thirty Fifth Conference on Learning Theory 178, 2183-2241, 2022 | 18 | 2022 |
Client-cash: Protecting master passwords against offline attacks J Blocki, A Sridhar Proceedings of the 11th ACM on Asia Conference on Computer and …, 2016 | 17 | 2016 |
Leveraging a multiple-strain model with mutations in analyzing the spread of COVID-19 A Sridhar, O Yağan, R Eletreby, SA Levin, JB Plotkin, HV Poor ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 13 | 2021 |
Analysis of the impact of mask-wearing in viral spread: Implications for COVID-19 Y Tian, A Sridhar, O Yağan, HV Poor 2021 American Control Conference (ACC), 3132-3137, 2021 | 13 | 2021 |
Sequential estimation of network cascades A Sridhar, HV Poor 2020 54th Asilomar Conference on Signals, Systems, and Computers, 1507-1511, 2020 | 10 | 2020 |
Role of masks in mitigating viral spread on networks Y Tian, A Sridhar, CW Wu, SA Levin, KM Carley, HV Poor, O Yağan Physical Review E 108 (1), 014306, 2023 | 9 | 2023 |
Spreading processes with mutations over multilayer networks M Sood, A Sridhar, R Eletreby, CW Wu, SA Levin, O Yağan, HV Poor Proceedings of the National Academy of Sciences 120 (24), e2302245120, 2023 | 9 | 2023 |
On distributed stochastic gradient algorithms for global optimization B Swenson, A Sridhar, HV Poor ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 9 | 2020 |
Matching correlated inhomogeneous random graphs using the k-core estimator MZ Rácz, A Sridhar 2023 IEEE International Symposium on Information Theory (ISIT), 2499-2504, 2023 | 8 | 2023 |
Bayes-optimal methods for finding the source of a cascade A Sridhar, HV Poor ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 8 | 2021 |
Quickest inference of network cascades with noisy information A Sridhar, HV Poor IEEE Transactions on Information Theory 69 (4), 2494-2522, 2022 | 6 | 2022 |
Quickest inference of susceptible-infected cascades in sparse networks A Sridhar, T Routtenberg, HV Poor 2023 IEEE International Symposium on Information Theory (ISIT), 102-107, 2023 | 5 | 2023 |
Recovering the graph underlying networked dynamical systems under partial observability: a deep learning approach S Machado, A Sridhar, P Gil, J Henriques, JMF Moura, A Santos Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 9038-9046, 2023 | 4 | 2023 |
Local canonical labeling of Erd\H {o} s--R\'enyi random graphs J Gaudio, MZ Rácz, A Sridhar arXiv preprint arXiv:2211.16454, 2022 | 4 | 2022 |
Mean-Field Approximations for Stochastic Population Processes with Heterogeneous Interactions A Sridhar, S Kar SIAM Journal on Control and Optimization 61 (6), 3442-3466, 2023 | 3 | 2023 |
Average-case and smoothed analysis of graph isomorphism J Gaudio, MZ Rácz, A Sridhar arXiv preprint arXiv:2211.16454, 2022 | 2 | 2022 |
On the accuracy of deterministic models for viral spread on networks A Sridhar, S Kar arXiv preprint arXiv:2104.04913, 2021 | 2 | 2021 |