Provable concept learning for interpretable predictions using variational autoencoders

Armeen Taeb, Nicolo Ruggeri, Carina Schnuck +1

In safety-critical applications, practitioners are reluctant to trust neural networks when no interpretable explanations are available. Many attempts to provide such explanations r…