| 2025 | Linearithmic Clean-up for Vector-Symbolic Key-Value Memory with Kroneker Rotation Products. | Ruipeng Liu, Qinru Qiu, Simon Khan, Garrett Ethan Katz |
| 2025 | Neurosymbolic Tag-Based Annotation for Interpretable Avatar Creation. | Minghao Liu, Zeyu Cheng, Shen Sang, Jing Liu, James Davis |
| 2025 | Understanding the Expressive Capabilities of Knowledge Base Embeddings under Box Semantics. | Mena Leemhuis, Oliver Kutz |
| 2025 | Ontology-based box embeddings and knowledge graphs for predicting phenotypic traits in Saccharomyces cerevisiae. | Filip Kronstrm, Daniel Brunnsker, Ievgeniia A. Tiukova, Ross D. King |
| 2025 | Neurosymbolic Reasoning Shortcuts under the Independence Assumption. | Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari |
| 2025 | Neurosymbolic Association Rule Mining from Tabular Data. | Erkan Karabulut, Paul Groth, Victoria Degeler |
| 2025 | Neurosymbolic models based on hybrids of convolutional neural networks and decision trees. | Rasul Kairgeldin, Miguel . Carreira-Perpin |
| 2025 | Object-Centric Neuro-Argumentative Learning. | Abdul Rahman Jacob, Avinash Kori, Emanuele De Angelis, Ben Glocker, Maurizio Proietti, Francesca Toni |
| 2025 | A Neurosymbolic Approach to Counterfactual Fairness. | Xenia Heilmann, Chiara Manganini, Mattia Cerrato, Vaishak Belle |
| 2025 | KEA Explain: Explanations of Hallucinations using Graph Kernel Analysis. | Reilly Haskins, Benjamin Adams |
| 2025 | SymRAG: Efficient Neuro-Symbolic Retrieval Through Adaptive Query Routing. | Safayat Bin Hakim, Muhammad Adil, Alvaro Velasquez, Houbing Herbert Song |
| 2025 | Neuro-Argumentative Learning with Case-Based Reasoning. | Adam Gould, Francesca Toni |
| 2025 | Neurosymbolic Learning in Structured Probability Spaces: A Case Study. | Ole Fenske, Sebastian Bader, Thomas Kirste |
| 2025 | Explainable Zero-Shot Visual Question Answering via Logic-Based Reasoning. | Thomas Eiter, Jan Hadl, Nelson Higuera Ruiz, Lukas Lange, Johannes Oetsch, Bileam Scheuvens, Jannik Strtgen |
| 2025 | A Comparative Analysis of Neurosymbolic Methods for Link Prediction. | Guillaume Delplanque, Luisa Werner, Nabil Layada, Pierre Genevs |
| 2025 | Neuro-Symbolic Inverse Constrained Reinforcement Learning. | Oliver Deane, Oliver Ray |
| 2025 | Bridging Neural and Symbolic Computation: A Learnability Study of RNNs on Counter and Dyck Languages. | Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur Mali |
| 2025 | MC3G: Model Agnostic Causally Constrained Counterfactual Generation. | Sopam Dasgupta, Sadaf Md. Halim, Joaqun Arias, Elmer Salazar, Gopal Gupta |
| 2025 | Exploring Verification Frameworks for Social Choice Alignment. | Jessica Ciupa, Vaishak Belle, Ekaterina Komendantskaya |
| 2025 | CRAFT: A Neuro-Symbolic Framework for Visual Functional Affordance Grounding. | Zhou Chen, Joe Lin, Sathyanarayanan N. Aakur |
| 2025 | A Comparative Study of Neurosymbolic AI Approaches to Interpretable Logical Reasoning. | Michael K. Chen |
| 2025 | Learning and Reasoning with Model-Grounded Symbolic Artificial Intelligence Systems. | Aniruddha Chattopadhyay, Raj Dandekar, Kaushik Roy |
| 2025 | Practical Lessons on Vector-Symbolic Architectures in Deep Learning-Inspired Environments. | Francesco S. Carzaniga, Michael Hersche, Kaspar Schindler, Abbas Rahimi |
| 2025 | Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty? | Giacomo Camposampiero, Michael Hersche, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi |
| 2025 | The ART of Link Prediction with KGEs. | Yannick Brunink, Michael Cochez, Jacopo Urbani |