Grace Villacrés

Improved Variational Inference in Discrete VAEs using Error Correcting Codes

Despite advances in deep probabilistic models, learning discrete latent representations remains challenging. This work introduces a novel method to improve inference in discrete Variational Autoencoders by reframing the inference problem through a generative perspective. We conceptualize the model a