Anirudh Sridhar

32 papers A* 4A 1B 2C 1Misc 4Journal 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Finding Super-spreaders in SIS Epidemics. CoRR Anirudh Sridhar, Arnob Ghosh
2024	A*	`conf`	Finding Super-spreaders in Network Cascades. COLT Elchanan Mossel, Anirudh Sridhar
2024	J	`jnl`	Finding Super-spreaders in Network Cascades. CoRR Elchanan Mossel, Anirudh Sridhar
2023	J	`jnl`	Matching Correlated Inhomogeneous Random Graphs using the $k$-core Estimator. CoRR Miklós Z. Rácz, Anirudh Sridhar
2023	B	`conf`	Matching Correlated Inhomogeneous Random Graphs using the k-core Estimator. ISIT Miklós Z. Rácz, Anirudh Sridhar
2023	J	`jnl`	Mean-Field Approximations for Stochastic Population Processes with Heterogeneous Interactions. SIAM J. Control. Optim. Anirudh Sridhar, Soummya Kar
2023	J	`jnl`	Quickest Inference of Network Cascades With Noisy Information. IEEE Trans. Inf. Theory Anirudh Sridhar, H. Vincent Poor
2023	B	`conf`	Quickest Inference of Susceptible-Infected Cascades in Sparse Networks. ISIT Anirudh Sridhar, Tirza Routtenberg, H. Vincent Poor
2023	J	`jnl`	Quickest Inference of Susceptible-Infected Cascades in Sparse Networks. CoRR Anirudh Sridhar, Tirza Routtenberg, H. Vincent Poor
2023	A*	`conf`	Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach. AAAI Sergio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos
2022	A*	`conf`	Exact Community Recovery in Correlated Stochastic Block Models. COLT Julia Gaudio, Miklós Z. Rácz, Anirudh Sridhar
2022	J	`jnl`	Exact Community Recovery in Correlated Stochastic Block Models. CoRR Julia Gaudio, Miklós Z. Rácz, Anirudh Sridhar
2022	J	`jnl`	Local canonical labeling of Erdős-Rényi random graphs. CoRR Julia Gaudio, Miklós Z. Rácz, Anirudh Sridhar
2022	J	`jnl`	Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach. CoRR Sergio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos
2022	J	`jnl`	Spreading Processes with Mutations over Multi-layer Networks. CoRR Mansi Sood, Anirudh Sridhar, Rashad Eletreby, Chai Wah Wu, Simon A. Levin, H. Vincent Poor, Osman Yagan
2021	C	`conf`	Analysis of the Impact of Mask-wearing in Viral Spread: Implications for COVID-19. ACC Yurun Tian, Anirudh Sridhar, Osman Yagan, H. Vincent Poor
2021	Misc	`conf`	Bayes-Optimal Methods for Finding the Source of a Cascade. ICASSP Anirudh Sridhar, H. Vincent Poor
2021	A*	`conf`	Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities. NeurIPS Miklós Z. Rácz, Anirudh Sridhar
2021	J	`jnl`	Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities. CoRR Miklós Z. Rácz, Anirudh Sridhar
2021	Misc	`conf`	Leveraging A Multiple-Strain Model with Mutations in Analyzing the Spread of Covid-19. ICASSP Anirudh Sridhar, Osman Yagan, Rashad Eletreby, Simon A. Levin, Joshua B. Plotkin, H. Vincent Poor
2021	J	`jnl`	Mean-field Approximation for Stochastic Population Processes in Networks under Imperfect Information. CoRR Anirudh Sridhar, Soummya Kar
2021	J	`jnl`	On the Accuracy of Deterministic Models for Viral Spread on Networks. CoRR Anirudh Sridhar, Soummya Kar
2021	J	`jnl`	Quickest Inference of Network Cascades with Noisy Information. CoRR Anirudh Sridhar, H. Vincent Poor
2021	J	`jnl`	The Role of Masks in Mitigating Viral Spread on Networks. CoRR Yurun Tian, Anirudh Sridhar, H. Vincent Poor, Osman Yagan
2020	J	`jnl`	Analysis of the Impact of Mask-wearing in Viral Spread: Implications for COVID-19. CoRR Yurun Tian, Anirudh Sridhar, Osman Yagan, H. Vincent Poor
2020	J	`jnl`	Correlated randomly growing graphs. CoRR Miklós Z. Rácz, Anirudh Sridhar
2020	Misc	`conf`	On Distributed Stochastic Gradient Algorithms for Global Optimization. ICASSP Brian Swenson, Anirudh Sridhar, H. Vincent Poor
2020	Misc	`conf`	Sequential Estimation of Network Cascades. ACSSC Anirudh Sridhar, H. Vincent Poor
2019	J	`jnl`	On Distributed Stochastic Gradient Algorithms for Global Optimization. CoRR Brian Swenson, Anirudh Sridhar, H. Vincent Poor
2019	J	`jnl`	Sequential Estimation of Network Cascades. CoRR Anirudh Sridhar, H. Vincent Poor
2016	A	`conf`	Client-CASH: Protecting Master Passwords against Offline Attacks. AsiaCCS Jeremiah Blocki, Anirudh Sridhar
2016	J	`jnl`	Client-CASH: Protecting Master Passwords against Offline Attacks. CoRR Jeremiah Blocki, Anirudh Sridhar