2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
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…
Preference fusion and Condorcet's Paradox under uncertainty
Yiru Zhang, Tassadit Bouadi, Arnaud Martin
Facing an unknown situation, a person may not be able to firmly elicit his/her preferences over different alternatives, so he/she tends to express uncertain preferences. Given a co…