Neural-Symbolic Learning and Reasoning 18th International Conference, NeSy 2024, Barcelona, Spain, September 9–12, 2024, Proceedings, Part I /
This book constitutes the refereed proceedings of the 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, held in Barcelona, Spain during September 9-12th, 2024. The 30 full papers and 18 short papers were carefully reviewed and selected from 89 submissions, which pre...
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| Autor Corporativo: | |
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| Outros Autores: | , , , , , |
| Formato: | Recurso Electrónico livro electrónico |
| Idioma: | inglês |
| Publicado em: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Edição: | 1st ed. 2024. |
| Colecção: | Lecture Notes in Artificial Intelligence,
14979 |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/978-3-031-71167-1 |
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Sumário:
- -- Context Helps: Integrating context information with videos in a graph-based HAR framework.
- Assessing Logical Reasoning Capabilities of Encoder-Only Transformer Models.
- Variable Assignment Invariant Neural Networks for Learning Logic Programs.
- ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios using Procedural Knowledge.
- The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning.
- A semantic loss for ontology classification.
- On the use of Neurosymbolic AI for Defending against Cyber Attacks.
- Bayesian Inverse Graphics for Few-Shot Concept Learning.
- Simple and Effective Transfer Learning for Neuro-Symbolic Integration.
- Ethical Reward Machines.
- Embed2Rule - Scalable Neuro-Symbolic Learning via Latent Space Weak-Labelling.
- ULLER: A Unified Language for Learning and Reasoning.
- Disentangling Visual Priors: Unsupervised Learning of Scene Interpretations with Compositional Autoencoder.
- Probing LLMs for logical reasoning.
- Enhancing Machine Learning Predictions through Knowledge Graph Embeddings.
- Terminating Differentiable Tree Experts.
- Valid Text-to-SQL Generation with Unification-based DeepStochLog.
- Enhancing Geometric Ontology Embeddings for EL++ with Negative Sampling and Deductive Closure Filtering.
- Lattice-preserving ALC ontology embeddings.
- Towards Learning Abductive Reasoning using VSA Distributed Representations.
- Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation.
- Leveraging Neurosymbolic AI for Slice Discovery. .