| Fine-tuning diffusion models with limited data T Moon, M Choi, G Lee, JW Ha, J Lee NeurIPS 2022 Workshop on Score-Based Methods, 2022 | 19 | 2022 |
| Towards safe self-distillation of internet-scale text-to-image diffusion models S Kim, S Jung, B Kim, M Choi, J Shin, J Lee ICML 2023 Workshop on Challenges in Deployable Generative AI, 2023 | 14 | 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 Modeling, 2023 | 7 | 2023 |
| Selecting optimal locations of public charging stations for electric vehicles using the big data of driving behaviors: A case study of Seoul, Korea J Jung, M Choi, DJ Lee Local Energy, Global Markets, 42nd IAEE International Conference, May 29 …, 2019 | 2 | 2019 |
| Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning M Choi, H Lee, G Nam, J Lee The Twelfth International Conference on Learning Representations (ICLR), 2024 | | 2024 |
| Equal Experience in Recommender Systems J Cho, M Choi, C Suh arXiv preprint arXiv:2210.05936, 2022 | | 2022 |
| Diffusion Forecasting Of Electric Vehicles Based On Consumers’ Preferences: A Korean Case M Choi, DJ Lee, J Shin, R Piao Energy Resources of the Caspian and Central Asia: Regional and Global …, 2019 | | 2019 |
| 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 | | |
