publications

Publications sorted in reverse chronological order.

2023

  1. Preprint
    Average-case and Smoothed Analysis of Graph Isomorphism
    Julia Gaudio, Miklós Z. Rácz, and Anirudh Sridhar
    Preprint, Sep 2023
  2. ISIT 2023
    Quickest Inference of Susceptible-Infected Cascades in Sparse Networks
    Anirudh Sridhar, Tirza Routtenberg, and H. Vincent Poor
    In Proceedings of the 2023 IEEE International Symposium on Information Theory, Jul 2023
  3. ISIT 2023
    Matching Correlated Inhomogeneous Random Graphs using the k-core Estimator
    Miklós Z. Rácz, and Anirudh Sridhar
    In Proceedings of the 2023 IEEE International Symposium on Information Theory, Jul 2023
  4. AAAI 2023
    Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach
    Sérgio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, and Augusto Santos
    In Proceedings of the 37th AAAI Conference on Artificial Intelligence, Feb 2023
  5. SICON
    Mean-field Approximations for Stochastic Population Processes with Heterogeneous Interactions
    Anirudh Sridhar, and Soummya Kar
    SIAM Journal on Control and Optimization, Nov 2023
  6. PhysRevE
    The Role of Masks in Mitigating Viral Spread on Networks
    Yurun Tian, Anirudh Sridhar, Chai Wah Wu, Simon A. Levin, Kathleen M. Carley, H. Vincent Poor, and Osman Yagan
    Physical Review E, Jul 2023
  7. PNAS
    Spreading Processes with Mutations over Multi-Layer Networks
    Mansi Sood, Anirudh Sridhar, Rashad Eletreby, Chai Wah Wu, Simon A. Levin, H. Vincent Poor, and Osman Yagan
    Proceedings of the National Academy of Sciences, Jun 2023
  8. IEEE-IT
    Quickest Inference of Network Cascades with Noisy Information
    Anirudh Sridhar, and H. Vincent Poor
    IEEE Transactions on Information Theory, Apr 2023

2022

  1. COLT 2022
    Exact Community Recovery in Correlated Stochastic Block Models
    Julia Gaudio, Miklós Z. Rácz, and Anirudh Sridhar
    In Proceedings of the 35th Annual Conference on Learning Theory, Jul 2022
  2. AAP
    Correlated Randomly Growing Graphs
    Miklós Z. Rácz, and Anirudh Sridhar
    The Annals of Applied Probability, Apr 2022

2021

  1. ICASSP 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, and H. Vincent Poor
    In Proceedings of the 46th IEEE International Conference on Acoustics, Speech, and Signal Processing, Jun 2021
  2. ICASSP 2021
    Bayes-Optimal Methods for Finding the Source of a Cascade
    Anirudh Sridhar, and H. Vincent Poor
    In Proceedings of the 46th IEEE International Conference on Acoustics, Speech, and Signal Processing, Jun 2021
  3. ACC 2021
    Analysis of the Impact of Mask-wearing in Viral Spread: Implications for COVID-19.
    Yurun Tian, Anirudh Sridhar, Osman Yagan, and H. Vincent Poor
    In Proceedings of the 2021 American Control Conference, May 2021
  4. NeurIPS 2021
    Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
    Miklós Z. Rácz, and Anirudh Sridhar
    In Proceedings of the 35th Conference on Neural Information Processing Systems, Dec 2021
  5. HDSR
    Modeling and Analysis of the Spread of COVID-19 under a Multiple-Strain Model with Mutations
    Osman Yagan, Anirudh Sridhar, Simon A. Levin, Joshua A. Plotkin, and H. Vincent Poor
    Harvard Data Science Review, Apr 2021

2020

  1. Asilomar 2020
    Sequential Estimation of Network Cascades
    Anirudh Sridhar, and H. Vincent Poor
    In Proceedings of the 54th Asilomar Conference on Signals, Systems and Computers, Nov 2020
  2. ICASSP 2020
    On Distributed Stochastic Gradient Algorithms for Global Optimization
    Brian Swenson, Anirudh Sridhar, and H. Vincent Poor
    In Proceedings of the 45th IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2020

2016

  1. AsiaCCS 2016
    Client-CASH: Protecting Master Passwords Against Offline Attacks
    Jeremiah Blocki, and Anirudh Sridhar
    In Proceedings of the 11th ACM Asia Conference on Computer and Communications Security, May 2016