13 citations · 17 across the 6 of their papers we have counts for
10 papers
Detecting Abrupt Changes in Point Processes: Fundamental Limits and Applications
Anna Brandenberger, Elchanan Mossel, Anirudh Sridhar
We consider the problem of detecting abrupt changes (i.e., large jump discontinuities) in the rate function of a point process. The rate function is assumed to be fully unknown, no…
Exact Community Recovery in Correlated Stochastic Block Models
Julia Gaudio, Miklos Z. Racz, Anirudh Sridhar
We consider the problem of learning latent community structure from multiple correlated networks. We study edge-correlated stochastic block models with two balanced communities, fo…
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
Miklos Z. Racz, Anirudh Sridhar
We consider the task of learning latent community structure from multiple correlated networks. First, we study the problem of learning the latent vertex correspondence between two…
On the Accuracy of Deterministic Models for Viral Spread on Networks
Anirudh Sridhar, Soummya Kar
We consider the emergent behavior of viral spread when agents in a large population interact with each other over a contact network. When the number of agents is large and the cont…
Analysis of the Impact of Mask-wearing in Viral Spread: Implications for COVID-19
Yurun Tian, Anirudh Sridhar, Osman Yagan +1
Masks are used as part of a comprehensive strategy of measures to limit transmission and save lives during the COVID-19 pandemic. Research about the impact of mask-wearing in the C…
Correlated randomly growing graphs
Miklos Z. Racz, Anirudh Sridhar
We introduce a new model of correlated randomly growing graphs and study the fundamental questions of detecting correlation and estimating aspects of the correlated structure. The…