Priya Narasimhan

Behavioral INR reveals that self-supervised learning can effectively disentangle complex, overlapping policies from unlabeled behavioral data, outperforming traditional methods in high-dimensional settings.

MCPS reveals that analyzing football passes through a Monte Carlo framework can significantly improve the understanding of pass effectiveness and decision-making in real-time scenarios.