Christian Hernandes

Bregman Divergences and Graph Hashing for Deep Generative Models – We present an efficient framework for learning image representations using Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs). We establish two strong connections between CNNs and CNNs: a first one is how CNNs learn the latent representations of images and how CNNs learn the […]