國立清華大學資訊工程學系

Department of Computer Science

National Tsing Hua University

專題演講

SEMINAR

主講人：Dr. Haw-ren Fang

SPEAKER

題　目：A Tutorial on Deep Normalizing Flows.

TOPIC  

時  間： 108年04月11日(四)上午10點至12點

DATE　　

地　點：台達館615室

PLACE

Abstract: In deep learning, generative models is a rapidly growing research field, where GAN (generative adversarial nets) and VAE (variational autoencoder) are two of the most popular approaches.

Given a data set, GAN models the probability density only implicitly, and VAE involves approximation from dimensional reduction. Learning the explicit probability density function is a hard task. In this tutorial, we will talk about how to tackle this problem by deep normalizing flows, with applications to outlier detection by density estimation, data characterization by latent variable inference, and completing the missing features such as image inpainting.

聯絡人：李哲榮 教授