Anirudh Sridhar

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

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Finding Super-spreaders in Network Cascades.

Elchanan Mossel, Anirudh Sridhar

CoRR, 2024

2023

Mean-Field Approximations for Stochastic Population Processes with Heterogeneous Interactions.

Anirudh Sridhar, Soummya Kar

SIAM J. Control. Optim., December, 2023

Quickest Inference of Network Cascades With Noisy Information.

Anirudh Sridhar, H. Vincent Poor

IEEE Trans. Inf. Theory, April, 2023

Quickest Inference of Susceptible-Infected Cascades in Sparse Networks.

Anirudh Sridhar, Tirza Routtenberg, H. Vincent Poor

Proceedings of the IEEE International Symposium on Information Theory, 2023

Matching Correlated Inhomogeneous Random Graphs using the k-core Estimator.

Miklós Z. Rácz, Anirudh Sridhar

Proceedings of the IEEE International Symposium on Information Theory, 2023

Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach.

Sergio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Local canonical labeling of Erdős-Rényi random graphs.

Julia Gaudio, Miklós Z. Rácz, Anirudh Sridhar

CoRR, 2022

Spreading Processes with Mutations over Multi-layer Networks.

Mansi Sood, Anirudh Sridhar, Rashad Eletreby, Chai Wah Wu, Simon A. Levin, H. Vincent Poor, Osman Yagan

CoRR, 2022

Exact Community Recovery in Correlated Stochastic Block Models.

Julia Gaudio, Miklós Z. Rácz, Anirudh Sridhar

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.

Yurun Tian, Anirudh Sridhar, H. Vincent Poor, Osman Yagan

CoRR, 2021

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

Anirudh Sridhar, Soummya Kar

CoRR, 2021

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

Anirudh Sridhar, Soummya Kar

CoRR, 2021

Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities.

Miklós Z. Rácz, Anirudh Sridhar

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.

Anirudh Sridhar, Osman Yagan, Rashad Eletreby, Simon A. Levin, Joshua B. Plotkin, H. Vincent Poor

Proceedings of the IEEE International Conference on Acoustics, 2021

Bayes-Optimal Methods for Finding the Source of a Cascade.

Anirudh Sridhar, H. Vincent Poor

Proceedings of the IEEE International Conference on Acoustics, 2021

Analysis of the Impact of Mask-wearing in Viral Spread: Implications for COVID-19.

Yurun Tian, Anirudh Sridhar, Osman Yagan, H. Vincent Poor

Proceedings of the 2021 American Control Conference, 2021

2020

Correlated randomly growing graphs.

Miklós Z. Rácz, Anirudh Sridhar

CoRR, 2020

On Distributed Stochastic Gradient Algorithms for Global Optimization.

Brian Swenson, Anirudh Sridhar, H. Vincent Poor

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Sequential Estimation of Network Cascades.

Anirudh Sridhar, H. Vincent Poor

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2016

Client-CASH: Protecting Master Passwords against Offline Attacks.

Jeremiah Blocki, Anirudh Sridhar

Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security, 2016