Anirudh Sridhar

Orcid: 0000-0001-8732-7708

According to our database1, Anirudh Sridhar authored at least 20 papers between 2016 and 2024.

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Bibliography

2024
Finding Super-spreaders in Network Cascades.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Mean-Field Approximations for Stochastic Population Processes with Heterogeneous Interactions.
SIAM J. Control. Optim., December, 2023

Quickest Inference of Network Cascades With Noisy Information.
IEEE Trans. Inf. Theory, April, 2023

Quickest Inference of Susceptible-Infected Cascades in Sparse Networks.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Matching Correlated Inhomogeneous Random Graphs using the k-core Estimator.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Local canonical labeling of Erdős-Rényi random graphs.
CoRR, 2022

Spreading Processes with Mutations over Multi-layer Networks.
CoRR, 2022

Exact Community Recovery in Correlated Stochastic Block Models.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021
The Role of Masks in Mitigating Viral Spread on Networks.
CoRR, 2021

On the Accuracy of Deterministic Models for Viral Spread on Networks.
CoRR, 2021

Mean-field Approximation for Stochastic Population Processes in Networks under Imperfect Information.
CoRR, 2021

Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Leveraging A Multiple-Strain Model with Mutations in Analyzing the Spread of Covid-19.
Proceedings of the IEEE International Conference on Acoustics, 2021

Bayes-Optimal Methods for Finding the Source of a Cascade.
Proceedings of the IEEE International Conference on Acoustics, 2021

Analysis of the Impact of Mask-wearing in Viral Spread: Implications for COVID-19.
Proceedings of the 2021 American Control Conference, 2021

2020
Correlated randomly growing graphs.
CoRR, 2020

On Distributed Stochastic Gradient Algorithms for Global Optimization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Sequential Estimation of Network Cascades.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2016
Client-CASH: Protecting Master Passwords against Offline Attacks.
Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security, 2016


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