Conference Publications

[C14] Training-Free Safe Denoisers for Safe Use of Diffusion Models [pdf]

• Mingyu Kim*, Dongjun Kim*, Amman Yusuf, Stefano Ermon, Mijung Park

• Neural Information Processing Systems (NeurIPS) 2025

[C13] Exploring Diffusion Transformer Designs via Grafting [pdf][code][project]

• Keshigeyan Chandrasegaran, Michael Poli, Daniel Y Fu, Dongjun Kim, Lea M. Hadzic, Manling Li, Agrim Gupta, Stefano Massaroli, Azalia Mirhoseini, Juan Carlos Niebles, Stefano Ermon, Li Fei-Fei

• Neural Information Processing Systems (NeurIPS) 2025

• Oral Presentation (Top 0.36%)

[C12] SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation [pdf][code][project]

• Koichi Saito, Dongjun Kim, Takashi Shibuya, Chieh-Hsin Lai, Zhi Zhong, Yuhta Takida, and Yuki Mitsufuji

• International Conference on Learning Representations (ICLR) 2025

[C11] Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning [pdf]

• Ayano Hiranaka*, Shang-Fu Chen*, Chieh-Hsin Lai*, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, and Yuki Mitsufuji

• International Conference on Learning Representations (ICLR) 2025

[C10] PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher [pdf][code][blog]

• Dongjun Kim*, Chieh-Hsin Lai*, Wei-Hsiang Liao, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, and Stefano Ermon

• Neural Information Processing Systems (NeurIPS) 2024

[C9] Mean-field Chaos Diffusion Models [pdf]

• Sungwoo Park, Dongjun Kim, Ahmed Alaa

• International Conference on Machine Learning (ICML) 2024

• Oral Presentation (Top 1.65%)

[C8] Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion [pdf][code][project][blog]

• Dongjun Kim*, Chieh-Hsin Lai*, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, and Stefano Ermon

• International Conference on Learning Representations (ICLR) 2024

[C7] Manifold Preserving Guided Diffusion [pdf][code]

• Yutong He*, Naoki Murata*,  Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J Zico Kolter, Ruslan Salakhutdinov, and Stefano Ermon

• International Conference on Learning Representations (ICLR) 2024

[C6] Training Unbiased Diffusion Models from Biased Dataset [pdf][code]

• Yeongmin Kim, Byeonghu Na, JoonHo Jang, Minsang Park, Dongjun Kim, Wanmo Kang, and Il-Chul Moon

• International Conference on Learning Representations (ICLR) 2024

[C5] Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models [pdf][code][press]

• Dongjun Kim*, Yeongmin Kim*, Se Jung Kwon, Wanmo Kang, and Il-Chul Moon

• International Conference on Machine Learning (ICML) 2023

• Oral Presentation (Top 2.37%)

[C4] Maximum Likelihood Training of Implicit Nonlinear Diffusion Models [pdf][code]

• Dongjun Kim*, Byeonghu Na*, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, and Il-Chul Moon

• Neural Information Processing Systems (NeurIPS) 2022

[C3] Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation [pdf][code]

• Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, and Il-Chul Moon

• International Conference on Machine Learning (ICML) 2022

[C2] Implicit Kernel Attention [pdf][code]

• Kyungwoo Song, Yohan Jung, Dongjun Kim, and Il-Chul Moon

• Association for the Advancement of Artificial Intelligence (AAAI) 2021

[C1] Data-Driven Automatic Calibration for Validation of Agent-Based Social Simulations [pdf][code]

• Il-Chul Moon, Dongjun Kim, Tae-Sub Yun, Jang Won Bae, Dong-Oh Kang, and Euihyun Paik

• International Conference on Systems, Man, and Cybernetics (SMC) 2018

Journal Publications

[J6] Generalized Gumbel-Softmax gradient estimator for generic discrete random variables [pdf]

• Weonyoung Joo, Dongjun Kim, Seungjae Shin, and Il-Chul Moon

• Pattern Recognition Letters  (PRL) 2025

[J5] Sequential Neural Joint Estimation for Likelihood-Free Inference [pdf][code]

• Dongjun Kim, Kyungwoo Song, Seungjae Shin, Wanmo Kang, Il-Chul Moon, and Weonyoung Joo

• Journal of the Korean Statistical Society (JKSS) 2025

[J4] Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model [pdf]

• Zhuo Zheng, Stefano Ermon, Dongjun Kim, Liangpei Zhang, and Yanfei Zhong

• Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024

[J3] Sequential Likelihood-Free Inference with Neural Proposal [pdf][code]

• Dongjun Kim, Kyungwoo Song, YoonYeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, and Weonyoung Joo

• 1. 1. • Pattern Recognition Letters (PRL) 2023

[J2] Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Models [pdf][code]

• Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, and Jang Won Bae

  1. 1. • Journal of Autonomous Agents and Multi-Agent Systems (AAMAS) 2022

[J1] Agent-Based Model for Urban Administration: Focusing on the Traffic Aspect [pdf]

• Tae-Sub Yun, Dongjun Kim, Il-Chul Moon, and Jang Won Bae

• Journal of Artificial Societies and Social Simulation (JASSS) 2022