8 citations · 20 across the 9 of their papers we have counts for
12 papers
Neural Dependency Coding inspired Multimodal Fusion
Shiv Shankar
Information integration from different modalities is an active area of research. Human beings and, in general, biological neural systems are quite adept at using a multitude of sig…
Adversarial Stein Training for Graph Energy Models
Shiv Shankar
Learning distributions over graph-structured data is a challenging task with many applications in biology and chemistry. In this work we use an energy-based model (EBM) based on mu…
Sibling Regression for Generalized Linear Models
Shiv Shankar, Daniel Sheldon
Field observations form the basis of many scientific studies, especially in ecological and social sciences. Despite efforts to conduct such surveys in a standardized way, observati…
High-Confidence Off-Policy (or Counterfactual) Variance Estimation
Yash Chandak, Shiv Shankar, Philip S. Thomas
Many sequential decision-making systems leverage data collected using prior policies to propose a new policy. For critical applications, it is important that high-confidence guaran…
Bosonic Random Walk Networks for Graph Learning
Shiv Shankar, Don Towsley
The development of Graph Neural Networks (GNNs) has led to great progress in machine learning on graph-structured data. These networks operate via diffusing information across the…
Three-quarter Sibling Regression for Denoising Observational Data
Shiv Shankar, Daniel Sheldon, Tao Sun +2
Many ecological studies and conservation policies are based on field observations of species, which can be affected by systematic variability introduced by the observation process.…