Demeester, Thomas

DeepProbLog: Neural Probabilistic Logic Programming

Manhaeve, R., Dumančić, S., Kimmig, A., Demeester, T., & De Raedt, L. (2018) · arXiv

Logic, Reasoning, and KnowledgeBayesian Modeling and Causal Inference

Cited by 239

Neural probabilistic logic programming in DeepProbLog

Manhaeve, R., Dumančić, S., Kimmig, A., Demeester, T., & De Raedt, L. (2021) · Artificial Intelligence

Logic, Reasoning, and KnowledgeBayesian Modeling and Causal Inference

Cited by 131

Biolord-2023: Semantic textual representations fusing large language models and clinical knowledge graph insights

Remy, F., Demuynck, K., & Demeester, T. (2024) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 64

ePC: Fast and Deep Predictive Coding in Digital Simulation

Goemaere, C., Oliviers, G., Bogacz, R., & Demeester, T. (2025) · arXiv

Neural Networks and ApplicationsAdvanced Memory and Neural Computing

Cited by 2

Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation

Remy, F., Delobelle, P., Berendt, B., Demuynck, K., & Demeester, T. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0