0f0c4f3d83c58df58380af3b0729354c-Supplemental-Conference.pdf

AMissing Details453 A.1 Motivations for working with model latent space454 In Section 3, we introduced the confusion density matrix that allows us to categorize suspicious455 examples at testing time. Crucially, this density matrix relies on kernel density estimations in the456 latent space H associated to the model f through Assumption 1. Why are we performing a kernel457 density estimation in latent space rather than in input space X? The answer is fairly straightforward:458 we want our density estimation to be coupled to the model and its predictions.459 Let us now make this point more rigorous.