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ORCID18th NeSy 2024: Barcelona, Spain - Part I
- Tarek R. Besold
, Artur d'Avila Garcez, Ernesto Jiménez-Ruiz, Roberto Confalonieri, Pranava Madhyastha, Benedikt Wagner:
Neural-Symbolic Learning and Reasoning - 18th International Conference, NeSy 2024, Barcelona, Spain, September 9-12, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14979, Springer 2024, ISBN 978-3-031-71166-4
NeSy 2024 Papers (Part 1)
- Binxia Xu, Antonis Bikakis, Daniel Onah, Andreas Vlachidis, Luke Dickens:
Context Helps: Integrating Context Information with Videos in a Graph-Based HAR Framework. 3-28 - Paulo Pirozelli, Marcos Menon José, Paulo de Tarso P. Filho, Anarosa A. F. Brandão, Fábio Gagliardi Cozman:
Assessing Logical Reasoning Capabilities of Encoder-Only Transformer Models. 29-46 - Yin Jun Phua, Katsumi Inoue:
Variable Assignment Invariant Neural Networks for Learning Logic Programs. 47-61 - Patrick Takenaka, Johannes Maucher, Marco F. Huber:
ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios Using Procedural Knowledge. 62-83 - Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo:
The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning. 84-100 - Simon Flügel, Martin Glauer, Till Mossakowski, Fabian Neuhaus:
A Fuzzy Loss for Ontology Classification. 101-118 - Gudmund Grov, Jonas Halvorsen, Magnus Wiik Eckhoff, Bjørn Jervell Hansen, Martin Eian, Vasileios Mavroeidis:
On the Use of Neurosymbolic AI for Defending Against Cyber Attacks. 119-140 - Octavio Arriaga, Jichen Guo, Rebecca Adam, Sebastian Houben, Frank Kirchner:
Bayesian Inverse Graphics for Few-Shot Concept Learning. 141-165 - Alessandro Daniele, Tommaso Campari, Sagar Malhotra, Luciano Serafini:
Simple and Effective Transfer Learning for Neuro-Symbolic Integration. 166-179 - Jessica Ciupa, Vaishak Belle:
Ethical Reward Machine. 180-194 - Yaniv Aspis, Mohammad Albinhassan, Jorge Lobo, Alessandra Russo:
Embed2Rule Scalable Neuro-Symbolic Learning via Latent Space Weak-Labelling. 195-218 - Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia:
ULLER: A Unified Language for Learning and Reasoning. 219-239 - Krzysztof Krawiec, Antoni Nowinowski:
Disentangling Visual Priors: Unsupervised Learning of Scene Interpretations with Compositional Autoencoder. 240-256 - Francesco Manigrasso, Stefan F. Schouten, Lia Morra, Peter Bloem:
Probing LLMs for Logical Reasoning. 257-278 - Majlinda Llugiqi, Fajar J. Ekaputra, Marta Sabou:
Enhancing Machine Learning Predictions Through Knowledge Graph Embeddings. 279-295 - Jonathan Thomm, Michael Hersche, Giacomo Camposampiero, Aleksandar Terzic, Bernhard Schölkopf, Abbas Rahimi:
Terminating Differentiable Tree Experts. 296-311 - Ying Jiao, Luc De Raedt, Giuseppe Marra:
Valid Text-to-SQL Generation with Unification-Based DeepStochLog. 312-330 - Olga Mashkova, Fernando Zhapa-Camacho, Robert Hoehndorf:
Enhancing Geometric Ontology Embeddings for Eℒ++ with Negative Sampling and Deductive Closure Filtering. 331-354 - Fernando Zhapa-Camacho, Robert Hoehndorf:
Lattice-Preserving ALC Ontology Embeddings. 355-369 - Giacomo Camposampiero, Michael Hersche, Aleksandar Terzic, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi:
Towards Learning Abductive Reasoning Using VSA Distributed Representations. 370-385 - Jakub Bednarek, Krzysztof Krawiec:
Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation. 386-402 - Michele Collevati, Thomas Eiter, Nelson Higuera:
Leveraging Neurosymbolic AI for Slice Discovery. 403-418
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