The integration of probabilistic programming languages with deep learning faces challenges, specifically regarding the efficiency of inference when neural likelihoods are involved and the difficulty of allowing gradients to flow through discrete sampling operations.

Authors

• Person: Not available Organization: Springer
  A Comprehensive Review of Neuro-symbolic AI for Robustness ...

Sources

• A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Springer via serper

Referenced by nodes (2)

• deep learning concept
• probabilistic programming concept