| Refining generative process with discriminator guidance in score-based diffusion models D Kim, Y Kim, SJ Kwon, W Kang, IC Moon arXiv preprint arXiv:2211.17091, 2022 | 62 | 2022 |
| Training unbiased diffusion models from biased dataset Y Kim, B Na, M Park, JH Jang, D Kim, W Kang, IC Moon The Twelfth International Conference on Learning Representations, 2024 | 6 | 2024 |
| Unsupervised controllable generation with score-based diffusion models: Disentangled latent code guidance Y Kim, D Kim, HM Lee, I Moon NeurIPS 2022 Workshop on Score-Based Methods, 2022 | 4 | 2022 |
| Saal: sharpness-aware active learning YY Kim, Y Cho, JH Jang, B Na, Y Kim, K Song, W Kang, IC Moon International Conference on Machine Learning, 16424-16440, 2023 | 2 | 2023 |
| Label-Noise Robust Diffusion Models B Na, Y Kim, HS Bae, JH Lee, SJ Kwon, W Kang, IC Moon arXiv preprint arXiv:2402.17517, 2024 | 1 | 2024 |
| Reward-based Input Construction for Cross-document Relation Extraction B Na, S Jo, Y Kim, IC Moon arXiv preprint arXiv:2405.20649, 2024 | | 2024 |
| Diffusion Rejection Sampling B Na, Y Kim, M Park, D Shin, W Kang, IC Moon arXiv preprint arXiv:2405.17880, 2024 | | 2024 |
| Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Y Kim, K Lee, M Park, B Na, IC Moon arXiv preprint arXiv:2405.17111, 2024 | | 2024 |
| Predict Sequential Credit Card Delinquency with VaDE-Seq2Seq Y Kim, Y Cho, H Lee, IC Moon 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | | 2021 |
Il-Chul MoonAssociate Professor, Department of Industrial and Systems Engineering, KAIST在 kaist.ac.kr 的电子邮件经过验证
