| 2024 | Probing LLMs for Logical Reasoning. | Francesco Manigrasso, Stefan F. Schouten, Lia Morra, Peter Bloem |
| 2024 | Enhancing Machine Learning Predictions Through Knowledge Graph Embeddings. | Majlinda Llugiqi, Fajar J. Ekaputra, Marta Sabou |
| 2024 | ULLER: A Unified Language for Learning and Reasoning. | Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia |
| 2024 | Disentangling Visual Priors: Unsupervised Learning of Scene Interpretations with Compositional Autoencoder. | Krzysztof Krawiec, Antoni Nowinowski |
| 2024 | Valid Text-to-SQL Generation with Unification-Based DeepStochLog. | Ying Jiao, Luc De Raedt, Giuseppe Marra |
| 2024 | Assessing LLMs Suitability for Knowledge Graph Completion. | Vasile Ionut-Remus Iga, Gheorghe Cosmin Silaghi |
| 2024 | On the Use of Neurosymbolic AI for Defending Against Cyber Attacks. | Gudmund Grov, Jonas Halvorsen, Magnus Wiik Eckhoff, Bjrn Jervell Hansen, Martin Eian, Vasileios Mavroeidis |
| 2024 | Large-Scale Knowledge Integration for Enhanced Molecular Property Prediction. | Yasir Ghunaim, Robert Hoehndorf |
| 2024 | WineGraph: A Graph Representation for Food-Wine Pairing. | Zuzanna Gawrysiak, Agata Zywot, Agnieszka Lawrynowicz |
| 2024 | LENs for Analyzing the Quality of Life of People with Intellectual Disability. | Diego Fraile-Parra, Vicent Costa, Pilar Dellunde |
| 2024 | A Fuzzy Loss for Ontology Classification. | Simon Flgel, Martin Glauer, Till Mossakowski, Fabian Neuhaus |
| 2024 | ECATS: Explainable-by-Design Concept-Based Anomaly Detection for Time Series. | Irene Ferfoglia, Gaia Saveri, Laura Nenzi, Luca Bortolussi |
| 2024 | Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language. | Hossein Rajaby Faghihi, Aliakbar Nafar, Andrzej Uszok, Hamid R. Karimian, Parisa Kordjamshidi |
| 2024 | Reasoning in Transformers - Mitigating Spurious Correlations and Reasoning Shortcuts. | Daniel Enstrm, Viktor Kjellberg, Moa Johansson |
| 2024 | Commonsense Ontology Micropatterns. | Andrew Eells, Brandon Dave, Pascal Hitzler, Cogan Shimizu |
| 2024 | Logic Supervised Learning for Time Series - Continual Learning for Appliance Detection. | Benjamin Duppe |
| 2024 | Bringing Back Semantics to Knowledge Graph Embeddings: An Interpretability Approach. | Antoine Domingues, Nitisha Jain, Albert Meroo-Peuela, Elena Simperl |
| 2024 | Parameter Learning Using Approximate Model Counting. | Lucile Dierckx, Alexandre Dubray, Siegfried Nijssen |
| 2024 | Towards Understanding the Impact of Graph Structure on Knowledge Graph Embeddings. | Brandon Dave, Antrea Christou, Cogan Shimizu |
| 2024 | Simple and Effective Transfer Learning for Neuro-Symbolic Integration. | Alessandro Daniele, Tommaso Campari, Sagar Malhotra, Luciano Serafini |
| 2024 | Error-Margin Analysis for Hidden Neuron Activation Labels. | Abhilekha Dalal, Rushrukh Rayan, Pascal Hitzler |
| 2024 | On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis. | Abhilekha Dalal, Rushrukh Rayan, Adrita Barua, Eugene Y. Vasserman, Md. Kamruzzaman Sarker, Pascal Hitzler |
| 2024 | The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning. | Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo |
| 2024 | Leveraging Neurosymbolic AI for Slice Discovery. | Michele Collevati, Thomas Eiter, Nelson Higuera |
| 2024 | Ethical Reward Machine. | Jessica Ciupa, Vaishak Belle |