III: Small: Neural Probabilistic Circuits: Towards Compositional and Interpretable Neuro-Symbolic AI

Despite the superior performance achieved by end-to-end deep neural networks, many of them are black-box models composed of complex operators with massive number of parameters, making it hard to interpret and understand how a decision is made. Existing methods often provide post-hoc explanations to explain the black-box model, but they are not…