Christopher K.I. Williams

Inverting Supervised Representations with Autoregressive Neural Density Models

We present a method for feature interpretation that makes use of recent advances in autoregressive density estimation models to invert model representations. We train generative inversion models to express a distribution over input features conditioned on intermediate model representations. Insights…