Integrating Domain Knowledge into Learning Probabilistic Circuits for Improved Generalization and Robustness

A unified framework that can effectively integrate diverse types of probabilistic domain knowledge into the parameter learning of Probabilistic Circuits, enabling improved generalization and robustness in data-scarce and noisy settings.