publications

Publications in reversed chronological order.

2024

  1. [J] Frontiers
    Orthogonality and graph divergence losses promote disentanglement in generative models
    Ankita Shukla, Rishi Dadhich, Rajhans Singh, Anirudh Rayas, Pouria Saidi, and 3 more authors
    Frontiers in Computer Science, 2024
    PDF
  2. [P] Preprint
    Learning Networks from Wide-Sense Stationary Stochastic Processes
    Anirudh Rayas, Jiajun Cheng, Rajasekhar Anguluri, Deepjyoti Deka, and Gautam Dasarathy
    arXiv preprint arXiv:2412.03768, 2024
    arXiv Code
  3. [P] Preprint
    Structure Learning in Gaussian Graphical Models from Glauber Dynamics
    Vignesh Tirukkonda, Anirudh Rayas, and Gautam Dasarathy
    arXiv preprint arXiv:2412.18594, 2024
    arXiv

2023

  1. [C] ICASSP
    Differential Analysis for Networks Obeying Conservation Laws
    Anirudh Rayas, Rajasekhar Anguluri, Jiajun Cheng, and Gautam Dasarathy
    ICASSP, 2023
    arXiv PDF

2022

  1. [J] NeurIPS
    Learning the Structure of Large Networked Systems Obeying Conservation Laws
    Anirudh Rayas, Rajasekhar Anguluri, and Gautam Dasarathy
    NeurIPS, 2022
    arXiv PDF Code