| 2024 | Towards Learning Abductive Reasoning Using VSA Distributed Representations. | Giacomo Camposampiero, Michael Hersche, Aleksandar Terzic, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi |
| 2024 | Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation. | Jakub Bednarek, Krzysztof Krawiec |
| 2024 | Concept Induction Using LLMs: A User Experiment for Assessment. | Adrita Barua, Cara Leigh Widmer, Pascal Hitzler |
| 2024 | Embed2Rule Scalable Neuro-Symbolic Learning via Latent Space Weak-Labelling. | Yaniv Aspis, Mohammad Albinhassan, Jorge Lobo, Alessandra Russo |
| 2024 | Bayesian Inverse Graphics for Few-Shot Concept Learning. | Octavio Arriaga, Jichen Guo, Rebecca Adam, Sebastian Houben, Frank Kirchner |
| 2024 | TIC: Translate-Infer-Compile for Accurate "Text to Plan" Using LLMs and Logical Representations. | Sudhir Agarwal, Anu Sreepathy |
| 2023 | From Axioms over Graphs to Vectors, and Back Again: Evaluating the Properties of Graph-based Ontology Embeddings. | Fernando Zhapa-Camacho, Robert Hoehndorf |
| 2023 | Safe Reinforcement Learning via Probabilistic Logic Shields. | Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt |
| 2023 | Knowledge-Guided Colorization: Overview, Prospects and Challenges. | Rory Ward, Muhammad Jaleed Khan, John G. Breslin, Edward Curry |
| 2023 | Visual Reward Machines. | Elena Umili, Francesco Argenziano, Aymeric Barbin, Roberto Capobianco |
| 2023 | Explainable Classification of Internet Memes. | Abhinav Kumar Thakur, Filip Ilievski, Hng-n Sandlin, Zhivar Sourati, Luca Luceri, Riccardo Tommasini, Alain Mermoud |
| 2023 | Exploiting T-norms for Deep Learning in Autonomous Driving. | Mihaela C. Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz |
| 2023 | Challenge Problems in Developing a Neuro-Symbolic OODA Loop. | Alberto Speranzon, Christian H. Debrunner, David Rosenbluth, Mauricio Castillo-Effen, Anthony R. Nowicki, Kevin Alcedo, Andrzej Banaszuk |
| 2023 | The Roles of Symbols in Neural-based AI: They are Not What You Think! | Daniel L. Silver, Tom M. Mitchell |
| 2023 | Neural-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes. | Jingyuan Sha, Hikaru Shindo, Kristian Kersting, Devendra Singh Dhami |
| 2023 | Causality Prediction with Neural-Symbolic Systems: A Case Study in Smart Grids. | Katrin Schreiberhuber, Marta Sabou, Fajar J. Ekaputra, Peter Knees, Peb Ruswono Aryan, Alfred Einfalt, Ralf Mosshammer |
| 2023 | Towards Invertible Semantic-Preserving Embeddings of Logical Formulae. | Gaia Saveri, Luca Bortolussi |
| 2023 | A Roadmap for Neuro-argumentative Learning. | Maurizio Proietti, Francesca Toni |
| 2023 | Is the Proof Length a Good Indicator of Hardness for Reason-able Embeddings? | Jedrzej Potoniec |
| 2023 | Inductive Future Time Prediction on Temporal Knowledge Graphs with Interval Time. | Roxana Pop, Egor V. Kostylev |
| 2023 | A Hybrid System for Systematic Generalization in Simple Arithmetic Problems. | Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti |
| 2023 | PhysWM: Physical World Models for Robot Learning. | Marc Otto, Octavio Arriaga, Chandandeep Singh, Jichen Guo, Frank Kirchner |
| 2023 | How to Think About Benchmarking Neurosymbolic AI? | Johanna Ott, Arthur Ledaguenel, Cline Hudelot, Mattis Hartwig |
| 2023 | Generalizable Neuro-Symbolic Systems for Commonsense Question Answering. | Alessandro Oltramari, Jonathan Francis, Filip Ilievski, Kaixin Ma, Roshanak Mirzaee |
| 2023 | Closing the Neural-Symbolic Cycle: Knowledge Extraction, User Intervention and Distillation from Convolutional Neural Networks. | Kwun Ho Ngan, James Phelan, Esma Mansouri-Benssassi, Joe Townsend, Artur S. d'Avila Garcez |