1 citations · 2 across the 5 of their papers we have counts for
5 papers
MiGHT-EHR: A Multi-task Graph Transformer for Heterogeneous Temporal Electronic Health Records
Anirudh Rayas, Yuan Wang, Pavan Turaga
Learning from Electronic Health Records (EHRs) has gained significant attention due to its potential to improve clinical prediction. However, effective learning remains challenging…
Local and Mixing-Based Algorithms for Gaussian Graphical Model Selection from Glauber Dynamics
Vignesh Tirukkonda, Anirudh Rayas, Gautam Dasarathy
Gaussian graphical model selection is usually studied under independent sampling, but in many applications observations arise from dependent dynamics. We study structure learning w…
Learning Networks from Wide-Sense Stationary Stochastic Processes
Anirudh Rayas, Jiajun Cheng, Rajasekhar Anguluri +2
Complex networked systems driven by latent inputs are common in fields like neuroscience, finance, and engineering. A key inference problem here is to learn edge connectivity from…
Differential Analysis for Networks Obeying Conservation Laws
Anirudh Rayas, Rajasekhar Anguluri, Jiajun Cheng +1
Networked systems that occur in various domains, such as the power grid, the brain, and opinion networks, are known to obey conservation laws. For instance, electric networks obey…
Learning the Structure of Large Networked Systems Obeying Conservation Laws
Anirudh Rayas, Rajasekhar Anguluri, Gautam Dasarathy
Many networked systems such as electric networks, the brain, and social networks of opinion dynamics are known to obey conservation laws. Examples of this phenomenon include the Ki…