He et al. (2024), Arrotta et al. (2023), Xu et al. (2018), and Arrotta et al. (2024) proposed loss functions suitable for Neuro-Symbolic Learning, while Ahmed et al. (2022b) proposed a regularization method suitable for neuro-symbolic learning.

Authors

• Person: Not available Organization: arXiv
  Neuro-Symbolic AI: Explainability, Challenges, and Future Trends

Sources

• Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org arXiv via serper

Referenced by nodes (1)

• Neuro-Symbolic Learning concept