This article presents a comprehensive survey of the advancements and techniques in the field of tractable probabilistic generative modeling, with a focus on Probabilistic Circuits (PCs). The authors discuss the trade-offs between expressivity and tractability, design principles, and algorithmic extensions of PCs. They also explore recent efforts to build deep and hybrid PCs by fusing notions from deep neural models. The paper outlines the challenges and open questions that can guide future research in this evolving field.

 

Publication date: 1 Feb 2024
Project Page: https://arxiv.org/abs/2402.00759v1
Paper: https://arxiv.org/pdf/2402.00759

Post Views: 195