2 citations · 2 across the 3 of their papers we have counts for
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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…
cs.AI2017
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…