Jong-June Jeon

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Causal Relationships

Language Modeling

Conditional Density Estimation

Top Venues

Comput. Stat. Data Anal.

Publications

Sungchul Hong, SeungHwan An, Jong-June Jeon
Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering. CoRR (2024)
Jaesung Park, Sungchul Hong, Yoonseo Cho, Jong-June Jeon
Unicorn: U-Net for Sea Ice Forecasting with Convolutional Neural Ordinary Differential Equations. CoRR (2024)
SeungHwan An, Gyeongdong Woo, Jaesung Lim, ChangHyun Kim, Sungchul Hong, Jong-June Jeon
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis. CoRR (2024)
SeungHwan An, Jong-June Jeon
Customization of latent space in semi-supervised Variational AutoEncoder. Pattern Recognit. Lett. 177 (2024)
SeungHwan An, Jong-June Jeon
Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation. NeurIPS (2023)
SeungHwan An, Kyungwoo Song, Jong-June Jeon
Causally Disentangled Generative Variational AutoEncoder. ECAI (2023)
Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song
Geodesic Multi-Modal Mixup for Robust Fine-Tuning. NeurIPS (2023)
SeungHwan An, Sungchul Hong, Jong-June Jeon
Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance. CoRR (2023)
SeungHwan An, Kyungwoo Song, Jong-June Jeon
Causally Disentangled Generative Variational AutoEncoder. CoRR (2023)
SeungHwan An, Jong-June Jeon
Distributional Variational AutoEncoder To Infinite Quantiles and Beyond Gaussianity. CoRR (2023)
Sungchul Hong, Jong-June Jeon
Uniform Pessimistic Risk and Optimal Portfolio. CoRR (2023)
SeungHwan An, Jong-June Jeon
Joint Distributional Learning via Cramer-Wold Distance. CoRR (2023)
Sunghcul Hong, Yunjin Choi, Jong-June Jeon
Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms. CoRR (2023)
Minje Park, Jaeseon Kim, Sungchul Shin, Cheolwoo Park, Jong-June Jeon, Soon-Sun Kwon, Hosik Choi
Quantile estimation for encrypted data. Appl. Intell. 53 (21) (2023)
Gunwoong Park, Sang Jun Moon, Sion Park, Jong-June Jeon
Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression. J. Mach. Learn. Res. 22 (2021)
Sang Jun Moon, Jong-June Jeon, Jason Sang Hun Lee, Yongdai Kim
Learning Multiple Quantiles With Neural Networks. J. Comput. Graph. Stat. 30 (4) (2021)
SeungHwan An, Hosik Choi, Jong-June Jeon
EXoN: EXplainable encoder Network. CoRR (2021)
Jong-June Jeon, Yongdai Kim, Sungho Won, Hosik Choi
Primal path algorithm for compositional data analysis. Comput. Stat. Data Anal. 148 (2020)
Jong-June Jeon, Hosik Choi
The sparse Luce model. Appl. Intell. 48 (8) (2018)
Jong-June Jeon, Yongdai Kim, Sungho Won, Hosik Choi
Primal path algorithm for compositional data analysis. CoRR (2018)
Jong-June Jeon, Sunghoon Kwon, Hosik Choi
Homogeneity detection for the high-dimensional generalized linear model. Comput. Stat. Data Anal. 114 (2017)