MPCC: Matching priors and conditional for clustering

July 7, 2022 in Generative models, clustering, GANs, VAEs, ECCV2020

Generative adversarial model for clustering. This model is derived from a KL Divergence perspective between inference and generative distributions.

Generative-inference models: Theory and empirical analysis (Part II)

July 6, 2022 in Generative models, representation learning, GANs, VAEs, work in progress

Many Generative models have an infertence counter part. In this work we explore how they are formulated. We also studied their representation learning and generative capabilities theoretically and empirically.

Generative-inference models: Theory and empirical analysis (Part I)

July 5, 2022 in Generative models, representation learning, GANs, VAEs, work in progress

Nicolás Astorga

I am an ML researcher that is passionate, really passionate, about machine learning. I want to develop models capable of extracting the most information from the available data sources, and at the same time, can generalize to multiple tasks or target data distribution..

Research Scientist / ML Engineer

Chile