Hi everyone,
on this Friday, Laurent will talk about his work "Density estimation using
Real NVP".
This work will be presented as an oral talk at NIPS Deep Learning Symposium.
Let's give him some helpful feedbacks.
Who: Laurent Dinh
When: Nov. 11th (Friday) 11AM
Where: AA6214
Title: Density estimation using Real NVP
Abstract: Unsupervised learning of probabilistic models is a central yet
challenging problem in machine learning. Specifically, designing models
with tractable learning, sampling, inference and evaluation is crucial in
solving this task. We extend the space of such models using real-valued
non-volume preserving (real NVP) transformations, a set of powerful
invertible and learnable transformations, resulting in an unsupervised
learning algorithm with exact log-likelihood computation, exact sampling,
exact inference of latent variables, and an interpretable latent space. We
demonstrate its ability to model natural images on four datasets through
sampling, log-likelihood evaluation and latent variable manipulations.
Cheers,
--Junyoung