1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Unifying Attribution-Based Explanations Using Functional Decomposition
Arne Gevaert, Yvan Saeys
The black box problem in machine learning has led to the introduction of an ever-increasing set of explanation methods for complex models. These explanations have different propert…
cs.LG2022★ 1 cited
PDD-SHAP: Fast Approximations for Shapley Values using Functional Decomposition
Arne Gevaert, Yvan Saeys
Because of their strong theoretical properties, Shapley values have become very popular as a way to explain predictions made by black box models. Unfortuately, most existing techni…