[Lisa_teatalk] [TeaTalk] Talk by Laurent Dinh: Density estimation using Real NVP

Junyoung Chung elecegg at gmail.com
Thu Nov 10 16:04:30 EST 2016


Hi, this is a reminder.

We will have a tea talk tomorrow.
Laurent will give the talk, which will be also presented at NIPS DL
symposium.

Best,
--Junyoung

On Mon, Nov 7, 2016 at 7:47 PM, Junyoung Chung <elecegg at gmail.com> wrote:

> 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
>
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