| 2022 | Inductive Logic Programming - 30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings Nikos Katzouris, Alexander Artikis |
| 2021 | A First Step Towards Even More Sparse Encodings of Probability Distributions. Florian Andreas Marwitz, Tanya Braun, Ralf Möller |
| 2021 | A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics. Patrick Westphal, Sahar Vahdati, Jens Lehmann |
| 2021 | Answer-Set Programs for Reasoning About Counterfactual Interventions and Responsibility Scores for Classification. Leopoldo E. Bertossi, Gabriela Reyes |
| 2021 | Automatic Conjecturing of P-Recursions Using Lifted Inference. Jáchym Barvínek, Timothy van Bremen, Yuyi Wang, Filip Zelezný, Ondrej Kuzelka |
| 2021 | Embedding Models for Knowledge Graphs Induced by Clusters of Relations and Background Knowledge. Claudia d'Amato, Nicola Flavio Quatraro, Nicola Fanizzi |
| 2021 | Feature Learning by Least Generalization. Hien D. Nguyen, Chiaki Sakama |
| 2021 | Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits. Fabrizio Ventola, Devendra Singh Dhami, Kristian Kersting |
| 2021 | Human-Like Rule Learning from Images Using One-Shot Hypothesis Derivation. Dany Varghese, Roman Bauer, Daniel Baxter-Beard, Stephen H. Muggleton, Alireza Tamaddoni-Nezhad |
| 2021 | Learning Logic Programs Using Neural Networks by Exploiting Symbolic Invariance. Yin Jun Phua, Katsumi Inoue |
| 2021 | Learning and Revising Dynamic Temporal Theories in the Full Discrete Event Calculus. Oliver Ray |
| 2021 | Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation. Didac Barroso-Bergada, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton, Corinne Vacher, Nika Galic, David A. Bohan |
| 2021 | Mapping Across Relational Domains for Transfer Learning with Word Embeddings-Based Similarity. Thais Luca, Aline Paes, Gerson Zaverucha |
| 2021 | Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem. Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan |
| 2021 | Online Learning of Logic Based Neural Network Structures. Victor Guimarães, Vítor Santos Costa |
| 2021 | Ontology Graph Embeddings and ILP for Financial Forecasting. Can Erten, Dimitar Kazakov |
| 2021 | Programmatic Policy Extraction by Iterative Local Search. Rasmus Larsen, Mikkel Nørgaard Schmidt |
| 2021 | Synthetic Datasets and Evaluation Tools for Inductive Neural Reasoning. Cristina Cornelio, Veronika Thost |
| 2021 | Transfer Learning for Boosted Relational Dependency Networks Through Genetic Algorithm. Leticia Freire de Figueiredo, Aline Paes, Gerson Zaverucha |
| 2021 | Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design. Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Arijit Roy |