EungGu Yun
EungGu Yun
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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
Scale mixtures of neural network Gaussian processes
H Lee, E Yun, H Yang, J Lee
arXiv preprint arXiv:2107.01408, 2021
Probabilistic imputation for time-series classification with missing data
SH Kim, H Kim, E Yun, H Lee, J Lee, J Lee
International Conference on Machine Learning, 16654-16667, 2023
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
A Generative Self-Supervised Framework using Functional Connectivity in fMRI Data
J Choi, S Keum, EG Yun, BH Kim, J Lee
arXiv preprint arXiv:2312.01994, 2023
Traversing between modes in function space for fast ensembling
EG Yun, H Lee, G Nam, J Lee
International Conference on Machine Learning, 40555-40577, 2023
Martingale Posterior Neural Processes
H Lee, E Yun, G Nam, E Fong, J Lee
arXiv preprint arXiv:2304.09431, 2023
Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers
BH Kim, J Choi, EG Yun, K Kim, X Li, J Lee
arXiv preprint arXiv:2312.14939, 2023
On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations
E Jung, J Choi, EG Yun, W Rhee
arXiv preprint arXiv:2401.09518, 2024
Martingale Posterior Neural Processes
CHE Fong, H Lee, EG Yun, G Nam, J Lee
International Conference on Learning Representations (ICLR 2023)(01/05/2023 …, 2023
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
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