Jong-June Jeon

According to our database, Jong-June Jeon authored at least 16 papers between 2017 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

2023

Quantile estimation for encrypted data.

Minje Park, Jaeseon Kim, Sungchul Shin, Cheolwoo Park, Jong-June Jeon, Soon-Sun Kwon, Hosik Choi

Appl. Intell., November, 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

Uniform Pessimistic Risk and Optimal Portfolio.

Sungchul Hong, Jong-June Jeon

CoRR, 2023

Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms.

Sungchul Hong, Yunjin Choi, Jong-June Jeon

CoRR, 2023

Distributional Variational AutoEncoder To Infinite Quantiles and Beyond Gaussianity.

SeungHwan An, Jong-June Jeon

CoRR, 2023

Geodesic Multi-Modal Mixup for Robust Fine-Tuning.

Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song

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

Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression.

Gunwoong Park, Sang Jun Moon, Sion Park, Jong-June Jeon

J. Mach. Learn. Res., 2021

Learning Multiple Quantiles With Neural Networks.

Sang Jun Moon, Jong-June Jeon, Jason Sang Hun Lee, Yongdai Kim

J. Comput. Graph. Stat., 2021

EXoN: EXplainable encoder Network.

SeungHwan An, Hosik Choi, Jong-June Jeon

CoRR, 2021

2020

Primal path algorithm for compositional data analysis.

Jong-June Jeon, Yongdai Kim, Sungho Won, Hosik Choi

Comput. Stat. Data Anal., 2020

2018

The sparse Luce model.

Jong-June Jeon, Hosik Choi

Appl. Intell., 2018

2017

Homogeneity detection for the high-dimensional generalized linear model.

Jong-June Jeon, Sunghoon Kwon, Hosik Choi

Comput. Stat. Data Anal., 2017