3 citations · 4 across the 7 of their papers we have counts for
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cs.LG2024★ 1 cited
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
Lorenzo Basile, Santiago Acevedo, Luca Bortolussi +2
To gain insight into the mechanisms behind machine learning methods, it is crucial to establish connections among the features describing data points. However, these correlations o…
cs.LG2024★ 3 cited
When Can You Trust Your Explanations? A Robustness Analysis on Feature Importances
Ilaria Vascotto, Alex Rodriguez, Alessandro Bonaita +1
Recent legislative regulations have underlined the need for accountable and transparent artificial intelligence systems and have contributed to a growing interest in the Explainabl…