International Conference on Neurosymbolic Learning and Reasoning
NeSy
C
CORE rank
CORE rank (raw)
C
Fields of research
Artificial Intelligence · Machine Learning · Theory of Computation
Papers indexed
250
2008–2025
Papers per year
200858 peak2025
Most published authors
NeSy papers
250 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2023 | Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification. | Lia Morra, Alberto Azzari, Letizia Bergamasco, Marco Braga, Luigi Capogrosso, Federico Delrio, Giuseppe Di Giacomo, Simone Eiraudo, Giorgia Ghione, Rocco Giudice, Alkis Koudounas, Luca Piano, Daniele Rege Cambrin, Matteo Risso, Marco Rondina, Alessandro Sebastian Russo, Marco Russo, Francesco Taioli, Lorenzo Vaiani, Chiara Vercellino |
| 2023 | VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. | Eleonora Misino, Giuseppe Marra, Emanuele Sansone |
| 2023 | Neuro-Symbolic Reasoning Shortcuts: Mitigation Strategies and their Limitations. | Emanuele Marconato, Stefano Teso, Andrea Passerini |
| 2023 | GlanceNets: Interpretable, Leak-proof Concept-based Models. | Emanuele Marconato, Andrea Passerini, Stefano Teso |
| 2023 | The Challenge of Learning Symbolic Representations. | Luca Salvatore Lorello, Marco Lippi |
| 2023 | Continual Reasoning: Non-monotonic Reasoning in Neurosymbolic AI using Continual Learning. | Sofoklis Kyriakopoulos, Artur S. d'Avila Garcez |
| 2023 | Neural Class Expression Synthesis. | N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo |
| 2023 | Exploring Mathematical Conjecturing with Large Language Models. | Moa Johansson, Nicholas Smallbone |
| 2023 | FB15k-CVT: A Challenging Dataset for Knowledge Graph Embedding Models. | Mouloud Iferroudjene, Victor Charpenay, Antoine Zimmermann |
| 2023 | Semantic Interpretability of Convolutional Neural Networks by Taxonomy Extraction. | Vitor A. C. Horta, Robin Sobczyk, Maarten C. Stol, Alessandra Mileo |
| 2023 | Solving Raven's Progressive Matrices via a Neuro-vector-symbolic Architecture. | Michael Hersche, Mustafa Zeqiri, Luca Benini, Abu Sebastian, Abbas Rahimi |
| 2023 | Decoding Superpositions of Bound Symbols Represented by Distributed Representations. | Michael Hersche, Zuzanna Opala, Geethan Karunaratne, Abu Sebastian, Abbas Rahimi |
| 2023 | On the Benefits of OWL-based Knowledge Graphs for Neural-Symbolic Systems. | David Herron, Ernesto Jimnez-Ruiz, Tillman Weyde |
| 2023 | What's Wrong with Gradient-based Complex Query Answering? | Ouns El Harzli, Samy Badreddine, Tarek R. Besold |
| 2023 | Large Language Models Need Symbolic AI. | Kristian J. Hammond, David B. Leake |
| 2023 | A Modular Neurosymbolic Approach for Visual Graph Question Answering. | Thomas Eiter, Nelson Higuera Ruiz, Johannes Oetsch |
| 2023 | Towards Explainable Decision Making with Neural Program Synthesis and Library Learning. | Manuel Eberhardinger, Johannes Maucher, Setareh Maghsudi |
| 2023 | RL-Net: Interpretable Rule Learning with Neural Networks. | Lucile Dierckx, Rosana Veroneze, Siegfried Nijssen |
| 2023 | Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions. | Alessandro Daniele, Tommaso Campari, Sagar Malhotra, Luciano Serafini |
| 2023 | Learning Where and When to Reason in Neuro-Symbolic Inference. | Cristina Cornelio, Jan Sthmer, Shell Xu Hu, Timothy M. Hospedales |
| 2023 | Logic Explained Networks. | Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Li, Marco Maggini, Stefano Melacci |
| 2023 | VSA-based Positional Encoding Can Replace Recurrent Networks in Emergent Symbol Binding. | Francesco S. Carzaniga, Michael Hersche, Kaspar Schindler, Abbas Rahimi |
| 2023 | Implementing Trustworthy AI in Real-world Medical Imaging using the SimpleMind Software Environment. | Matthew S. Brown, M. Wasil Wahi-Anwar, Youngwon Choi, Morgan Daly, Liza Shrestha, Koon-Pong Wong, Jonathan G. Goldin, Dieter R. Enzmann |
| 2023 | Combining Machine Learning and Semantic Web: A Systematic Mapping Study. | Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Marta Sabou, Andreas Ekelhart, Andreea Iana, Heiko Paulheim, Jan Portisch, Artem Revenko, Frank van Harmelen, Annette ten Teije |
| 2023 | Preliminary Results on a State-Driven Method for Rule Construction in Neural-Symbolic Reinforcement Learning. | Davide Beretta, Stefania Monica, Federico Bergenti |
126–150 of 250← PreviousNext →
Comparable venues
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- AGECCOGenetic and Evolutionary Computations