11 citations · 20 across the 4 of their papers we have counts for
4 papers
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis
Seunghwan An, Gyeongdong Woo, Jaesung Lim +3
In this paper, our goal is to generate synthetic data for heterogeneous (mixed-type) tabular datasets with high machine learning utility (MLu). Since the MLu performance depends on…
Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering
Sungchul Hong, Seunghwan An, Jong-June Jeon
Recent advances in a generative neural network model extend the development of data augmentation methods. However, the augmentation methods based on the modern generative models fa…
Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance
Seunghwan An, Sungchul Hong, Jong-June Jeon
In the process of training a generative model, it becomes essential to measure the discrepancy between two high-dimensional probability distributions: the generative distribution a…
Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms
Sungchul Hong, Yunjin Choi, Jong-June Jeon
Accurate forecasting of river water levels is vital for effectively managing traffic flow and mitigating the risks associated with natural disasters. This task presents challenges…