Inverse Problems Leveraging Pre-trained Contrastive Representations

Sriram Ravula, Georgios Smyrnis, Matt Jordan +1

We study a new family of inverse problems for recovering representations of corrupted data. We assume access to a pre-trained representation learning network R(x) that operates on…