Deep Generative Models (DGMs) are probabilistic frameworks that use deep neural networks to approximate the underlying distribution of high-dimensional data, denoted as p_data(x).

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 (1)

• deep neural networks concept