no code implementations • 29 May 2024 • Ioannis Emiris, Dimitris Fotakis, Giorgos Giannopoulos, Dimitrios Gunopulos, Loukas Kavouras, Kleopatra Markou, Eleni Psaroudaki, Dimitrios Rontogiannis, Dimitris Sacharidis, Nikolaos Theologitis, Dimitrios Tomaras, Konstantinos Tsopelas
Counterfactual explanations have emerged as an important tool to understand, debug, and audit complex machine learning models.
no code implementations • 20 Apr 2024 • Kleopatra Markou, Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos
The imminent need to interpret the output of a Machine Learning model with counterfactual (CF) explanations - via small perturbations to the input - has been notable in the research community.