Paper ID: 2410.13871

Explaining an image classifier with a generative model conditioned by uncertainty

Adrien Le Coz, Stéphane Herbin, Faouzi Adjed

We propose to condition a generative model by a given image classifier uncertainty in order to analyze and explain its behavior. Preliminary experiments on synthetic data and a corrupted version of MNIST dataset illustrate the idea.

Submitted: Oct 2, 2024