337 citations · 369 across the 21 of their papers we have counts for
4 papers · 1 filter
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.…
Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint
Vihari Piratla, Shiv Shankar
Data augmentation is a popular pre-processing trick to improve generalization accuracy. It is believed that by processing augmented inputs in tandem with the original ones, the mod…
Optimizing for the Future in Non-Stationary MDPs
Yash Chandak, Georgios Theocharous, Shiv Shankar +3
Most reinforcement learning methods are based upon the key assumption that the transition dynamics and reward functions are fixed, that is, the underlying Markov decision process i…