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Anirudh Sridhar
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2020 – today
- 2024
- [c12]Elchanan Mossel, Anirudh Sridhar:
Finding Super-spreaders in Network Cascades. COLT 2024: 3874-3914 - [i17]Elchanan Mossel, Anirudh Sridhar:
Finding Super-spreaders in Network Cascades. CoRR abs/2403.03205 (2024) - 2023
- [j2]Anirudh Sridhar, Soummya Kar:
Mean-Field Approximations for Stochastic Population Processes with Heterogeneous Interactions. SIAM J. Control. Optim. 61(6): 3442-3466 (2023) - [j1]Anirudh Sridhar, H. Vincent Poor:
Quickest Inference of Network Cascades With Noisy Information. IEEE Trans. Inf. Theory 69(4): 2494-2522 (2023) - [c11]Sergio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos:
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach. AAAI 2023: 9038-9046 - [c10]Anirudh Sridhar, Tirza Routtenberg, H. Vincent Poor:
Quickest Inference of Susceptible-Infected Cascades in Sparse Networks. ISIT 2023: 102-107 - [c9]Miklós Z. Rácz, Anirudh Sridhar:
Matching Correlated Inhomogeneous Random Graphs using the k-core Estimator. ISIT 2023: 2499-2504 - [i16]Miklós Z. Rácz, Anirudh Sridhar:
Matching Correlated Inhomogeneous Random Graphs using the $k$-core Estimator. CoRR abs/2302.05407 (2023) - [i15]Anirudh Sridhar, Tirza Routtenberg, H. Vincent Poor:
Quickest Inference of Susceptible-Infected Cascades in Sparse Networks. CoRR abs/2302.05418 (2023) - 2022
- [c8]Julia Gaudio, Miklós Z. Rácz, Anirudh Sridhar:
Exact Community Recovery in Correlated Stochastic Block Models. COLT 2022: 2183-2241 - [i14]Julia Gaudio, Miklós Z. Rácz, Anirudh Sridhar:
Exact Community Recovery in Correlated Stochastic Block Models. CoRR abs/2203.15736 (2022) - [i13]Sergio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos:
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach. CoRR abs/2208.04405 (2022) - [i12]Mansi Sood, Anirudh Sridhar, Rashad Eletreby, Chai Wah Wu, Simon A. Levin, H. Vincent Poor, Osman Yagan:
Spreading Processes with Mutations over Multi-layer Networks. CoRR abs/2210.05051 (2022) - [i11]Julia Gaudio, Miklós Z. Rácz, Anirudh Sridhar:
Local canonical labeling of Erdős-Rényi random graphs. CoRR abs/2211.16454 (2022) - 2021
- [c7]Yurun Tian, Anirudh Sridhar, Osman Yagan, H. Vincent Poor:
Analysis of the Impact of Mask-wearing in Viral Spread: Implications for COVID-19. ACC 2021: 3132-3137 - [c6]Anirudh Sridhar, H. Vincent Poor:
Bayes-Optimal Methods for Finding the Source of a Cascade. ICASSP 2021: 5190-5194 - [c5]Anirudh Sridhar, Osman Yagan, Rashad Eletreby, Simon A. Levin, Joshua B. Plotkin, H. Vincent Poor:
Leveraging A Multiple-Strain Model with Mutations in Analyzing the Spread of Covid-19. ICASSP 2021: 8163-8167 - [c4]Miklós Z. Rácz, Anirudh Sridhar:
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities. NeurIPS 2021: 22259-22273 - [i10]Anirudh Sridhar, Soummya Kar:
Mean-field Approximation for Stochastic Population Processes in Networks under Imperfect Information. CoRR abs/2101.09644 (2021) - [i9]Anirudh Sridhar, Soummya Kar:
On the Accuracy of Deterministic Models for Viral Spread on Networks. CoRR abs/2104.04913 (2021) - [i8]Miklós Z. Rácz, Anirudh Sridhar:
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities. CoRR abs/2107.06767 (2021) - [i7]Yurun Tian, Anirudh Sridhar, H. Vincent Poor, Osman Yagan:
The Role of Masks in Mitigating Viral Spread on Networks. CoRR abs/2110.04398 (2021) - [i6]Anirudh Sridhar, H. Vincent Poor:
Quickest Inference of Network Cascades with Noisy Information. CoRR abs/2110.08115 (2021) - 2020
- [c3]Anirudh Sridhar, H. Vincent Poor:
Sequential Estimation of Network Cascades. ACSSC 2020: 1507-1511 - [c2]Brian Swenson, Anirudh Sridhar, H. Vincent Poor:
On Distributed Stochastic Gradient Algorithms for Global Optimization. ICASSP 2020: 8594-8598 - [i5]Miklós Z. Rácz, Anirudh Sridhar:
Correlated randomly growing graphs. CoRR abs/2004.13537 (2020) - [i4]Yurun Tian, Anirudh Sridhar, Osman Yagan, H. Vincent Poor:
Analysis of the Impact of Mask-wearing in Viral Spread: Implications for COVID-19. CoRR abs/2011.04208 (2020)
2010 – 2019
- 2019
- [i3]Brian Swenson, Anirudh Sridhar, H. Vincent Poor:
On Distributed Stochastic Gradient Algorithms for Global Optimization. CoRR abs/1910.09587 (2019) - [i2]Anirudh Sridhar, H. Vincent Poor:
Sequential Estimation of Network Cascades. CoRR abs/1912.03800 (2019) - 2016
- [c1]Jeremiah Blocki, Anirudh Sridhar:
Client-CASH: Protecting Master Passwords against Offline Attacks. AsiaCCS 2016: 165-176 - [i1]Jeremiah Blocki, Anirudh Sridhar:
Client-CASH: Protecting Master Passwords against Offline Attacks. CoRR abs/1603.00913 (2016)
Coauthor Index
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