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Jongmin Yoon
Jongmin Yoon
PhD student, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Adversarial purification with Score-based generative models
J Yoon, SJ Hwang, J Lee
International Conference on Machine Learning 2021, 2021
1102021
Diversity Matters When Learning From Ensembles
G Nam, J Yoon, Y Lee, J Lee
Advances in Neural Information Processing Systems 34, 2021
362021
Benefits of stochastic weight averaging in developing neural network radiation scheme for numerical weather prediction
HJ Song, S Roh, J Lee, G Nam, E Yun, J Yoon, PS Kim
Journal of Advances in Modeling Earth Systems 14 (10), e2021MS002921, 2022
82022
Early exiting for accelerated inference in diffusion models
T Moon, M Choi, EG Yun, J Yoon, G Lee, J Lee
ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023
62023
Fast Ensembling with Diffusion Schrödinger Bridge
H Kim, J Yoon, J Lee
2024 International Conference on Learning Representations, https …, 2024
2024
Sequential Flow Straightening for Generative Modeling
J Yoon, J Lee
arXiv preprint arXiv:2402.06461, 2024
2024
Recent advances of radiative transfer emulator in WRF model
HJ Song, S Roh, PS Kim, J Lee, G Nam, E Yun, J Yoon
한국기상학회 학술대회 논문집, 244-244, 2022
2022
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
T Moon, M Choi, EG Yun, J Yoon, G Lee, J Cho, J Lee
Forty-first International Conference on Machine Learning, 0
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Articles 1–8