13 citations · 29 across the 6 of their papers we have counts for
4 papers · 1 filter
Minimal Width for Universal Property of Deep RNN
Chang hoon Song, Geonho Hwang, Jun ho Lee +1
A recurrent neural network (RNN) is a widely used deep-learning network for dealing with sequential data. Imitating a dynamical system, an infinite-width RNN can approximate any op…
Universal Approximation Property of Fully Convolutional Neural Networks with Zero Padding
Geonho Hwang, Myungjoo Kang
The Convolutional Neural Network (CNN) is one of the most prominent neural network architectures in deep learning. Despite its widespread adoption, our understanding of its univers…
Finding the global semantic representation in GAN through Frechet Mean
Jaewoong Choi, Geonho Hwang, Hyunsoo Cho +1
The ideally disentangled latent space in GAN involves the global representation of latent space with semantic attribute coordinates. In other words, considering that this disentang…
Analyzing the Latent Space of GAN through Local Dimension Estimation
Jaewoong Choi, Geonho Hwang, Hyunsoo Cho +1
The impressive success of style-based GANs (StyleGANs) in high-fidelity image synthesis has motivated research to understand the semantic properties of their latent spaces. In this…