Williams (United States)

Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions Through Logical Reasoning

Abstract End-to-end deep neural networks have achieved remarkable success across various domains but are often criticized for their lack of interpretability. While post hoc explanation methods attempt to address this issue, they often fail to accurately represent these black-box...