2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Generating robust counterfactual explanations
Victor Guyomard, Françoise Fessant, Thomas Guyet +2
Counterfactual explanations have become a mainstay of the XAI field. This particularly intuitive statement allows the user to understand what small but necessary changes would have…
cs.AI2022★ 2 cited
VCNet: A self-explaining model for realistic counterfactual generation
Victor Guyomard, Françoise Fessant, Thomas Guyet +2
Counterfactual explanation is a common class of methods to make local explanations of machine learning decisions. For a given instance, these methods aim to find the smallest modif…