SeungHwan An

According to our database, SeungHwan An authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Customization of latent space in semi-supervised Variational AutoEncoder.

SeungHwan An, Jong-June Jeon

Pattern Recognit. Lett., January, 2024

Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis.

SeungHwan An, Gyeongdong Woo, Jaesung Lim, ChangHyun Kim, Sungchul Hong, Jong-June Jeon

CoRR, 2024

Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering.

Sungchul Hong, SeungHwan An, Jong-June Jeon

CoRR, 2024

Cryptocurrency Price Forecasting using Variational Autoencoder with Versatile Quantile Modeling.

Sungchul Hong, SeungHwan An, Jong-June Jeon

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance.

SeungHwan An, Sungchul Hong, Jong-June Jeon

CoRR, 2023

Joint Distributional Learning via Cramer-Wold Distance.

SeungHwan An, Jong-June Jeon

CoRR, 2023

Distributional Variational AutoEncoder To Infinite Quantiles and Beyond Gaussianity.

SeungHwan An, Jong-June Jeon

CoRR, 2023

Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation.

SeungHwan An, Jong-June Jeon

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causally Disentangled Generative Variational AutoEncoder.

SeungHwan An, Kyungwoo Song, Jong-June Jeon

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2021

EXoN: EXplainable encoder Network.

SeungHwan An, Hosik Choi, Jong-June Jeon

CoRR, 2021