Adaptive Adversarial Augmentation for Molecular Property Prediction
Cho, S., Hong, S., and Jeon, J. J.
Publications.
Explore the lab’s papers and preprints by year, with links to publications and related resources.
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Does a Large Language Model Really Speak in Human‐Like Language?
Park, M, Choi, Y., and Jeon J. J.
Dynamic High-Order Relations and event-driven temporal model for stock price forecasting
Park, K, Hong, S., and Jeon J. J.
Improving SMOTE via Fusing Conditional VAE for Noise Adaptive Sampling
Hong S., An, S. and Jeon J. J.
Variational AutoEncoder for Distributional Learning via Quantile Function Estimation
An S., Hong, S., and Jeon J. J.
CHEM: Causally and Hierarchically Explaining Molecules
Woo, K., Cho, S., Kim, D., Kim, C., Na, K., Choi, J. and Jeon, J.J.
Unicorn: U-Net for Sea Ice Forecasting with Convolutional Neural Ordinary Differential Equations
Park, J., Cho, Y., and J. J. Jeon, J., Park, H.-C. Kim and Hong, S.
Revisiting IPS in Recommendation Models: Unveiling Its Impact on Model Performance
Shin, W. and Jeon J. J.
Impute Missing Entries with Uncertainty
Lim, J, An, S. and Jeon J. J.
Interpretable Transformer for Water Level Forecasting
Hong, S., Choi Y. , Jeon J. J.
Multivariate Cryptocurrency Price Forecasting using Distributional Variational AutoEncoder
Hong S., An, S. and Jeon J. J.
Inhalation toxicity screening of consumer products chemicals using OECD TG data based machine learning models
Kim D., Cho. S. Jeon J. J. and Choi J.
Geodesic Multi-Modal Mixup for Robust Fine-Tuning,
Oh C., So J., Byun H., Lim Y., Shin M., Jeon J., Song.K
Distributional Variational AutoEncoder To Infinite Quantiles and Beyond Gaussianity
An, S. and Jeon J. J.