Modelling conditional probabilities with Riemann-Theta Boltzmann Machines. - Stefano Carrazza; Daniel Krefl; Andrea Papaluca (CoRR, 2019)

Pretrained Knowledge Base Embeddings for improved Sentential Relation Extraction. - Andrea Papaluca; Daniel Krefl; Hanna Suominen; Artem Lenskiy (ACL (student), 2022)

Quantum circuit noise simulation with reinforcement learning (Short Paper). - Simone Bordoni; Andrea Papaluca; Piergiorgio Buttarini; Alejandro Sopena; Stefano Carrazza; Stefano Giagu (AIQxQIA@AI*IA, 2023)

Zero- and Few-Shots Knowledge Graph Triplet Extraction with Large Language Models. - Andrea Papaluca; Daniel Krefl; Sergio Mendez Rodriguez; Artem Lenskiy; Hanna Suominen (CoRR, 2023)

Contrastive Language-Entity Pre-training for Richer Knowledge Graph Embedding. - Andrea Papaluca; Daniel Krefl; Artem Lensky; Hanna Suominen (ICPRAI (1), 2024)