Hrithik Suresh

Tractable Sharpness-Aware Learning of Probabilistic Circuits

Probabilistic Circuits (PCs) are a class of generative models that allow exact and tractable inference for a wide range of queries. While recent developments have enabled the learning of deep and expressive PCs, this increased capacity can often lead to overfitting, especially when data is limited.