Learning the Structure of Large Networked Systems Obeying Conservation Laws. - Anirudh Rayas; Rajasekhar Anguluri; Gautam Dasarathy (NeurIPS, 2022)

Differential Analysis for Networks Obeying Conservation Laws. - Anirudh Rayas; Rajasekhar Anguluri; Jiajun Cheng; Gautam Dasarathy (ICASSP, 2023)

The Sample Complexity of Differential Analysis for Networks that Obey Conservation Laws. - Jiajun Cheng; Anirudh Rayas; Rajasekhar Anguluri; Gautam Dasarathy (IEEECONF, 2024)

Structure Learning in Gaussian Graphical Models from Glauber Dynamics. - Vignesh Tirukkonda; Anirudh Rayas; Gautam Dasarathy (CoRR, 2024)

Orthogonality and graph divergence losses promote disentanglement in generative models. - Ankita Shukla; Rishi Dadhich; Rajhans Singh; Anirudh Rayas; Pouria Saidi; Gautam Dasarathy; Visar Berisha; Pavan K. Turaga (Frontiers Comput. Sci., 2024)

Learning Networks From Wide-Sense Stationary Stochastic Processes. - Anirudh Rayas; Jiajun Cheng; Rajasekhar Anguluri; Deepjyoti Deka; Gautam Dasarathy (IEEE Trans. Signal Inf. Process. over Networks, 2025)