발행물

논문
저서
컨퍼런스

전체 논문

71

21

Customization of latent space in semi-supervised Variational AutoEncoder
Seunghwan An, Jong‐June Jeon
Pattern Recognition Letters, 2023

22

Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Kyungwoo Song, Changdae Oh, 전종준
Advances in Neural Information Processing Systems, 2023

23

Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation
Seunghwan An, Jong‐June Jeon
arXiv (Cornell University), 2023

24

Causally Disentangled Generative Variational AutoEncoder
Seunghwan An, Kyungwoo Song, Jong‐June Jeon
Frontiers in artificial intelligence and applications, 2023

25

Quantile estimation for encrypted data
Minje Park, Jae-Seon Kim, Sung-Chul Shin, Cheolwoo Park, Jong‐June Jeon, Soon-Sun Kwon, Hosik Choi
Applied Intelligence, 2023

26

Customized Latent Space: Practical Usage of Variational Autoencoder
Seunghwan An, Jong‐June Jeon
SSRN Electronic Journal, 2023

27

Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms
Sunghcul Hong, Yunjin Choi, Jong‐June Jeon
arXiv (Cornell University), 2023

28

Uniform Pessimistic Risk and its Optimal Portfolio
Sungchul Hong, Jong‐June Jeon
arXiv (Cornell University), 2023

29

Joint Distributional Learning via Cramer-Wold Distance
Seunghwan An, Jong‐June Jeon
arXiv (Cornell University), 2023

30

Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance
Seunghwan An, Sungchul Hong, Jong‐June Jeon
arXiv (Cornell University), 2023