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 arXiv preprint arXiv:2106.05527, 2021 | 84* | 2021 |
Refining generative process with discriminator guidance in score-based diffusion models D Kim, Y Kim, SJ Kwon, W Kang, IC Moon arXiv preprint arXiv:2211.17091, 2022 | 52 | 2022 |
Maximum likelihood training of implicit nonlinear diffusion model D Kim, B Na, SJ Kwon, D Lee, W Kang, I Moon Advances in Neural Information Processing Systems 35, 32270-32284, 2022 | 32 | 2022 |
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, ... arXiv preprint arXiv:2310.02279, 2023 | 20 | 2023 |
Implicit kernel attention K Song, Y Jung, D Kim, IC Moon Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9713-9721, 2021 | 12 | 2021 |
Generalized gumbel-softmax gradient estimator for various discrete random variables W Joo, D Kim, S Shin, IC Moon arXiv preprint arXiv:2003.01847, 2020 | 12 | 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 35 (2), 46, 2021 | 7 | 2021 |
Manifold preserving guided diffusion Y He, N Murata, CH Lai, Y Takida, T Uesaka, D Kim, WH Liao, Y Mitsufuji, ... arXiv preprint arXiv:2311.16424, 2023 | 6 | 2023 |
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 25 (4), 2022 | 6 | 2022 |
Data-driven automatic calibration for validation of agent-based social simulations IC Moon, D Kim, TS Yun, JW Bae, DO Kang, E Paik 2018 IEEE international conference on systems, man, and cybernetics (SMC …, 2018 | 4 | 2018 |
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 | 3 | 2022 |
Sequential Likelihood-Free Inference with Neural Proposal D Kim, K Song, YY Kim, Y Shin, W Kang, IC Moon, W Joo Pattern Recognition Letters 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 |
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 |
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 29 (1), 39-46, 2020 | 2 | 2020 |
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 30 (1), 139-152, 2021 | 1 | 2021 |