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

Sampling the Riemann-Theta Boltzmann machine. - Stefano Carrazza; Daniel Krefl (Comput. Phys. Commun., 2020)

Riemann-Theta Boltzmann machine. - Daniel Krefl; Stefano Carrazza; Babak Haghighat; Jens Kahlen (Neurocomputing, 2020)

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

Cross-GWAS coherence test at the gene and pathway level. - Daniel Krefl; Sven Bergmann (PLoS Comput. Biol., 2022)

Product Jacobi-Theta Boltzmann machines with score matching. - Andrea Di Pasquale; Daniel Krefl; Stefano Carrazza; Frank Nielsen (CoRR, 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)

PascalX: a Python library for GWAS gene and pathway enrichment tests. - Daniel Krefl; Alessandro Brandulas Cammarata; Sven Bergmann (Bioinform., 2023)

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