Lorenzo Loconte

According to our database, Lorenzo Loconte authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Better Later Than Sooner: Neuro-Symbolic Knowledge Graph Construction via Ontology-grounded Post-extraction Correction.

Lorenzo Loconte, Timothy M. Hospedales, Cristina Cornelio

CoRR, May, 2026

2025

How to Square Tensor Networks and Circuits Without Squaring Them.

Lorenzo Loconte, Adrián Javaloy, Antonio Vergari

CoRR, December, 2025

Fast and Expressive Multi-Token Prediction with Probabilistic Circuits.

Andreas Grivas, Lorenzo Loconte, Emile van Krieken, Piotr Nawrot, Yu Zhao, Euan Wielewski, Pasquale Minervini, Edoardo Maria Ponti, Antonio Vergari

CoRR, November, 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

Is Complex Query Answering Really Complex?

Cosimo Gregucci, Bo Xiong, Daniel Hernández, Lorenzo Loconte, Pasquale Minervini, Steffen Staab, Antonio Vergari

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Sum of Squares Circuits.

Lorenzo Loconte, Stefan Mengel, Antonio Vergari

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

On Faster Marginalization with Squared Circuits via Orthonormalization.

Lorenzo Loconte, Antonio Vergari

CoRR, 2024

Subtractive Mixture Models via Squaring: Representation and Learning.

Lorenzo Loconte, Aleksanteri M. Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

How to Turn Your Knowledge Graph Embeddings into Generative Models.

Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

DeeProb-kit: a Python Library for Deep Probabilistic Modelling.

Lorenzo Loconte, Gennaro Gala

CoRR, 2022