DeeProb-kit: a Python Library for Deep Probabilistic Modelling. - Lorenzo Loconte; Gennaro Gala (CoRR, 2022)

How to Turn Your Knowledge Graph Embeddings into Generative Models. - Lorenzo Loconte; Nicola Di Mauro; Robert Peharz; Antonio Vergari (NeurIPS, 2023)

How to Turn Your Knowledge Graph Embeddings into Generative Models via Probabilistic Circuits. - Lorenzo Loconte; Nicola Di Mauro; Robert Peharz; Antonio Vergari (CoRR, 2023)

Subtractive Mixture Models via Squaring: Representation and Learning. - Lorenzo Loconte; Aleksanteri M. Sladek; Stefan Mengel; Martin Trapp 001; Arno Solin; Nicolas Gillis; Antonio Vergari (ICLR, 2024)

Is Complex Query Answering Really Complex? - Cosimo Gregucci; Bo Xiong; Daniel Hernández 002; Lorenzo Loconte; Pasquale Minervini; Steffen Staab; Antonio Vergari (CoRR, 2024)

On Faster Marginalization with Squared Circuits via Orthonormalization. - Lorenzo Loconte; Antonio Vergari (CoRR, 2024)

Sum of Squares Circuits. - Lorenzo Loconte; Stefan Mengel; Antonio Vergari (AAAI, 2025)

What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? - Lorenzo Loconte; Antonio Mari; Gennaro Gala; Robert Peharz; Cassio de Campos; Erik Quaeghebeur; Gennaro Vessio; Antonio Vergari (Trans. Mach. Learn. Res., 2025)