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Yeongmin Kim
Yeongmin Kim
KAIST
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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
502022
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
32022
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
12023
Training Unbiased Diffusion Models From Biased Dataset
Y Kim, B Na, M Park, JH Jang, D Kim, W Kang, IC Moon
arXiv preprint arXiv:2403.01189, 2024
2024
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
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
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