#model interpretability

Explore how SHAP-IQ leverages Shapley Interaction Indices to reveal complex feature interactions in machine learning models, enhancing interpretability beyond traditional Shapley values.

Researchers reveal a new method using latent vector fields to understand how neural autoencoders balance memorization and generalization, enhancing interpretability without modifying models.