Abstract: Permutation entropy (PE) is a widely used metric for quantifying the complexity of time series data. Recent efforts have extended PE to graph signals, resulting in the graph permutation ...

Abstract: Physics-embedded neural networks have recently gained significant interest in robotics due to the benefits of combining data-driven machine learning approaches with physics-based modeling ...