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Anirudh Sridhar
Anirudh Sridhar
Postdoc at MIT Math
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
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
292021
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
222021
Correlated randomly growing graphs
MZ Rácz, A Sridhar
Annals of Applied Probability 32 (2), 1058-1111, 2022
172022
Client-cash: Protecting master passwords against offline attacks
J Blocki, A Sridhar
Proceedings of the 11th ACM on Asia Conference on Computer and …, 2016
162016
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
122021
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
122021
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
112022
Sequential estimation of network cascades
A Sridhar, HV Poor
2020 54th Asilomar Conference on Signals, Systems, and Computers, 1507-1511, 2020
102020
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
82021
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
82020
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
62023
Quickest inference of network cascades with noisy information
A Sridhar, HV Poor
IEEE Transactions on Information Theory 69 (4), 2494-2522, 2022
42022
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
32023
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
32023
Local canonical labeling of Erd\H {o} s--R\'enyi random graphs
J Gaudio, MZ Rácz, A Sridhar
arXiv preprint arXiv:2211.16454, 2022
32022
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
22023
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
22023
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
12023
On the accuracy of deterministic models for viral spread on networks
A Sridhar, S Kar
arXiv preprint arXiv:2104.04913, 2021
12021
Finding Super-spreaders in Network Cascades
E Mossel, A Sridhar
arXiv preprint arXiv:2403.03205, 2024
2024
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