xAI

Counterfactual explanations, engineered alterations of classifier inputs that change predictions, are widely used for interpreting classifier decisions. In this work, we extend counterfactual generation to point cloud data, addressing the challenges …

Conditional Variational Auto Encoders (VAE) are gathering significant attention as an Explainable Artificial Intelligence (XAI) tool. The codes in the latent space provide a theoretically sound way to produce counterfactuals, i.e. alterations …