1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2025
Informative Post-Hoc Explanations Only Exist for Simple Functions
Eric Günther, Balázs Szabados, Robi Bhattacharjee +2
Many researchers have suggested that local post-hoc explanation algorithms can be used to gain insights into the behavior of complex machine learning models. However, theoretical g…
cs.LG2024★ 1 cited
Disentangling Interactions and Dependencies in Feature Attribution
Gunnar König, Eric Günther, Ulrike von Luxburg
In explainable machine learning, global feature importance methods try to determine how much each individual feature contributes to predicting the target variable, resulting in one…