| 2023 | A Constrained Optimization Approach to Set the Parameters of Probabilistic Answer Set Programs. Damiano Azzolini |
| 2023 | A Review of Inductive Logic Programming Applications for Robotic Systems. Youssef Mahmoud Youssef, Martin E. Müller |
| 2023 | An Experimental Overview of Neural-Symbolic Systems. Arne Vermeulen, Robin Manhaeve, Giuseppe Marra |
| 2023 | Few-Shot Learning of Diagnostic Rules for Neurodegenerative Diseases Using Inductive Logic Programming. Dany Varghese, Roman Bauer, Alireza Tamaddoni-Nezhad |
| 2023 | GNN Based Extraction of Minimal Unsatisfiable Subsets. Sota Moriyama, Koji Watanabe, Katsumi Inoue |
| 2023 | Inductive Logic Programming - 32nd International Conference, ILP 2023, Bari, Italy, November 13-15, 2023, Proceedings Elena Bellodi, Francesca Alessandra Lisi, Riccardo Zese |
| 2023 | Learning Strategies of Inductive Logic Programming Using Reinforcement Learning. Takeru Isobe, Katsumi Inoue |
| 2023 | Meta-interpretive Learning from Fractal Images. Daniel Cyrus, James Trewern, Alireza Tamaddoni-Nezhad |
| 2023 | Regularization in Probabilistic Inductive Logic Programming. Elisabetta Gentili, Alice Bizzarri, Damiano Azzolini, Riccardo Zese, Fabrizio Riguzzi |
| 2023 | Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning. Thais Luca, Aline Paes, Gerson Zaverucha |
| 2023 | Statistical Relational Structure Learning with Scaled Weight Parameters. Felix Weitkämper, Dmitriy Ravdin, Ramona Fabry |
| 2023 | Towards ILP-Based LTL f Passive Learning. Antonio Ielo, Mark Law, Valeria Fionda, Francesco Ricca, Giuseppe De Giacomo, Alessandra Russo |
| 2023 | What Do Counterfactuals Say About the World? Reconstructing Probabilistic Logic Programs from Answers to "What If?" Queries. Kilian Rückschloß, Felix Weitkämper |