Provable concept learning for interpretable predictions using variational autoencoders

2 code implementations • 1 Apr 2022 • Armeen Taeb, Nicolo Ruggeri, Carina Schnuck, Fanny Yang

In safety-critical applications, practitioners are reluctant to trust neural networks when no interpretable explanations are available.

Variational Inference