9 citations · 32 across the 9 of their papers we have counts for
9 papers
Hyperbolic VAE via Latent Gaussian Distributions
Seunghyuk Cho, Juyong Lee, Dongwoo Kim
We propose a Gaussian manifold variational auto-encoder (GM-VAE) whose latent space consists of a set of Gaussian distributions. It is known that the set of the univariate Gaussian…
Style-Agnostic Reinforcement Learning
Juyong Lee, Seokjun Ahn, Jaesik Park
We present a novel method of learning style-agnostic representation using both style transfer and adversarial learning in the reinforcement learning framework. The style, here, ref…
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning
Seunghyuk Cho, Juyong Lee, Jaesik Park +1
We present a rotated hyperbolic wrapped normal distribution (RoWN), a simple yet effective alteration of a hyperbolic wrapped normal distribution (HWN). The HWN expands the domain…
Semi-supervised Image Classification with Grad-CAM Consistency
Juyong Lee, Seunghyuk Cho
Consistency training, which exploits both supervised and unsupervised learning with different augmentations on image, is an effective method of utilizing unlabeled data in semi-sup…
National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?
Juyong Lee, Youngsang Cho
As the volatility of electricity demand increases owing to climate change and electrification, the importance of accurate peak load forecasting is increasing. Traditional peak load…
Roughly Collected Dataset for Contact Force Sensing Catheter
Seunghyuk Cho, Minsoo Koo, Dongwoo Kim +4
With rise of interventional cardiology, Catheter Ablation Therapy (CAT) has established itself as a first-line solution to treat cardiac arrhythmia. Although CAT is a promising tec…
Efficient discovery of multiple minimum action pathways using Gaussian process
JaeHwan Shim, Juyong Lee, Jaejun Yu
We present a new efficient transition pathway search method based on the least action principle and the Gaussian process regression method. Most pathway search methods developed so…
Link community detection through global optimization and the inverse resolution limit of partition density
Juyong Lee, Zhong-Yuan Zhang, Jooyoung Lee +2
We investigate the possibility of global optimization-based overlapping community detection, using link community framework. We first show that partition density, the original qual…
MOCSA: multiobjective optimization by conformational space annealing
Sangjin Sim, Juyong Lee, Jooyoung Lee
We introduce a novel multiobjective optimization algorithm based on the conformational space annealing (CSA) algorithm, MOCSA. It has three characteristic features: (a) Dominance r…