| 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 | 8 | 2022 |
| Scale mixtures of neural network Gaussian processes H Lee, E Yun, H Yang, J Lee arXiv preprint arXiv:2107.01408, 2021 | 7 | 2021 |
| 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 | 4 | 2023 |
| 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 | 4 | 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 | 2 | 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 | 2 | 2023 |
| Martingale Posterior Neural Processes H Lee, E Yun, G Nam, E Fong, J Lee arXiv preprint arXiv:2304.09431, 2023 | 2 | 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 | 1 | 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 | | 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 | | 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 | | 2022 |
Juho LeeAssociate professor, KAISTVerified email at kaist.ac.kr
