Modeling PU learning using probabilistic logic programming KU LeuvenVictor Verreet, Luc De Raedt, Jessa Bekker
From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey KU LeuvenGiuseppe Marra, Robin Manhaeve, Luc De Raedt
Semirings for probabilistic and neuro-symbolic logic programming KU LeuvenVincent Derkinderen, Robin Manhaeve, Luc De Raedt
smProbLog: Stable Model Semantics in ProbLog for Probabilistic Argumentation KU LeuvenPietro Totis, Luc De Raedt, Angelika Kimmig
Safe Reinforcement learning via Probabilistic Logic Shields KU LeuvenWen-Chi Yang, Giuseppe Marra, Luc De Raedt
DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings KU LeuvenAngelika Kimmig
Lifted Reasoning for Combinatorial Counting KU LeuvenPietro Totis, Jesse Davis, Luc De Raedt, Angelika Kimmig
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation KU LeuvenMohit Kumar Mohit Kumar, Samuel Kolb, Luc De Raedt
First-Order Context-Specific Likelihood Weighting in Hybrid Probabilistic Logic Programs KU LeuvenLuc De Raedt