| Consistency trajectory models: Learning probability flow ode trajectory of diffusion D Kim, CH Lai, WH Liao, N Murata, Y Takida, T Uesaka, Y He, Y Mitsufuji, ... International Conference on Learning Representations (ICLR24), 2023 | 121 | 2023 |
| Soft truncation: A universal training technique of score-based diffusion model for high precision score estimation D Kim, S Shin, K Song, W Kang, IC Moon International Conference on Machine Learning (ICML22), 2021 | 108* | 2021 |
| Refining generative process with discriminator guidance in score-based diffusion models D Kim, Y Kim, SJ Kwon, W Kang, IC Moon International Conference on Machine Learning (ICML23), 2022 | 86 | 2022 |
| Maximum likelihood training of implicit nonlinear diffusion model D Kim, B Na, SJ Kwon, D Lee, W Kang, IC Moon Neural Information Processing Systems (NeurIPS22), 2022 | 48 | 2022 |
| Manifold preserving guided diffusion Y He, N Murata, CH Lai, Y Takida, T Uesaka, D Kim, WH Liao, Y Mitsufuji, ... International Conference on Learning Representations (ICLR24), 2023 | 32 | 2023 |
| Implicit kernel attention K Song, Y Jung, D Kim, IC Moon Proceedings of the AAAI Conference on Artificial Intelligence (AAAI21), 2021 | 15 | 2021 |
| Changen2: Multi-temporal remote sensing generative change foundation model Z Zheng, S Ermon, D Kim, L Zhang, Y Zhong Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 | 14 | 2024 |
| Generalized gumbel-softmax gradient estimator for various discrete random variables W Joo, D Kim, S Shin, IC Moon arXiv preprint arXiv:2003.01847, 2020 | 14 | 2020 |
| Automatic calibration of dynamic and heterogeneous parameters in agent-based models D Kim, TS Yun, IC Moon, JW Bae Autonomous Agents and Multi-Agent Systems (AAMAS) 35 (2), 46, 2021 | 12 | 2021 |
| Agent-based model for urban administration: A case study of bridge construction and its traffic dispersion effect TS Yun, D Kim, IC Moon, JW Bae Journal of Artificial Societies and Social Simulation (JASSS) 25 (4), 2022 | 8 | 2022 |
| PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher D Kim, CH Lai, WH Liao, Y Takida, N Murata, T Uesaka, Y Mitsufuji, ... Neural Information Processing Systems (NeurIPS24), 2024 | 7 | 2024 |
| Training unbiased diffusion models from biased dataset Y Kim, B Na, M Park, JH Jang, D Kim, W Kang, IC Moon International Conference on Learning Representations (ICLR24), 2024 | 5 | 2024 |
| 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 | 5 | 2022 |
| Modeling and simulation on One-vs-One air combat with deep reinforcement learning IC Moon, M Jung, D Kim Journal of the Korea Society for Simulation (JKSS) 29 (1), 39-46, 2020 | 5 | 2020 |
| Data-driven automatic calibration for validation of agent-based social simulations IC Moon, D Kim, TS Yun, JW Bae, DO Kang, E Paik IEEE international conference on systems, man, and cybernetics (SMC18), 2018 | 5 | 2018 |
| SoundCTM: Uniting Score-based and Consistency Models for Text-to-Sound Generation K Saito, D Kim, T Shibuya, CH Lai, Z Zhong, Y Takida, Y Mitsufuji arXiv preprint arXiv:2405.18503, 2024 | 3 | 2024 |
| Sequential Likelihood-Free Inference with Neural Proposal D Kim, K Song, YY Kim, Y Shin, W Kang, IC Moon, W Joo Pattern Recognition Letters (PRL) 169, 102-109, 2023 | 2* | 2023 |
| Neural posterior regularization for likelihood-free inference D Kim, K Song, S Shin, W Kang, IC Moon, W Joo arXiv preprint arXiv:2102.07770, 2021 | 2* | 2021 |
| Virtual-Constructive Simulation Interoperation for Aircombat Battle Experiment D Kim, Y Shin, KS An, YG Kim, IC Moon, JW Bae Journal of the Korea Society for Simulation (JKSS) 30 (1), 139-152, 2021 | 2 | 2021 |
| Adversarial likelihood-free inference on black-box generator D Kim, W Joo, S Shin, K Song, IC Moon arXiv preprint arXiv:2004.05803, 2020 | 2 | 2020 |
Il-Chul MoonAssociate Professor, Department of Industrial and Systems Engineering, KAISTkaist.ac.kr의 이메일 확인됨
