Dongjun Kim

According to our database, Dongjun Kim authored at least 27 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Digital twin for autonomous collaborative robot by using synthetic data and reinforcement learning.

Dongjun Kim, Minho Choi, Jumyung Um

Robotics Comput. Integr. Manuf., February, 2024

Training Unbiased Diffusion Models From Biased Dataset.

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

CoRR, 2024

Poster: ImpacTile: Tile-level Localization for the Visually Impaired using Structural Uniqueness.

Cherry Kim, Seongjin Wang, Dongjun Kim, Shijia Pan, Jun Han

Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications, 2024

ImpacTile: Tile-level Localization for the Visually Impaired using Structural Uniqueness.

Cherry Kim, Seongjin Wang, Dongjun Kim, Shijia Pan, Jun Han

Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications, 2024

2023

Sequential Likelihood-Free Inference with Neural Proposal.

Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo

Pattern Recognit. Lett., May, 2023

Manifold Preserving Guided Diffusion.

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

CoRR, 2023

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion.

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

CoRR, 2023

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models.

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

Proceedings of the International Conference on Machine Learning, 2023

2022

Agent-Based Model for Urban Administration: A Case Study of Bridge Construction and its Traffic Dispersion Effect.

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

J. Artif. Soc. Soc. Simul., 2022

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models.

Dongjun Kim, Yeongmin Kim, Wanmo Kang, Il-Chul Moon

CoRR, 2022

Maximum Likelihood Training of Implicit Nonlinear Diffusion Models.

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

CoRR, 2022

Maximum Likelihood Training of Implicit Nonlinear Diffusion Model.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation.

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

Proceedings of the International Conference on Machine Learning, 2022

Automatic Calibration Framework of Agent-based Models for Dynamic and Heterogeneous Parameters.

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

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Score Matching Model for Unbounded Data Score.

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

CoRR, 2021

Posterior-Aided Regularization for Likelihood-Free Inference.

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

CoRR, 2021

Automatic calibration of dynamic and heterogeneous parameters in agent-based models.

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

Auton. Agents Multi Agent Syst., 2021

Implicit Kernel Attention.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Sequential Likelihood-Free Inference with Implicit Surrogate Proposal.

Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Il-Chul Moon

CoRR, 2020

Adversarial Likelihood-Free Inference on Black-Box Generator.

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

CoRR, 2020

Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables.

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

CoRR, 2020

Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence.

Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model.

Dongjun Kim, Tae-Sub Yun, Il-Chul Moon

CoRR, 2019

2018

Data-Driven Automatic Calibration for Validation of Agent-Based Social Simulations.

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

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2016

A novel density-based clustering method using word embedding features for dialogue intention recognition.

Jungsun Jang, Yeonsoo Lee, Seolhwa Lee, Dongwon Shin, Dongjun Kim, Hae-Chang Rim

Clust. Comput., 2016

2008

Enhancement of image degraded by fog using cost function based on human visual model.

Dongjun Kim, Changwon Jeon, Bonghyup Kang, Hanseok Ko

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008

2007

Human Sensibility Evaluation Using Neural Network and Multiple-Template Method on Electroencephalogram (EEG).

Dongjun Kim, Seungjin Woo, Jeong-Whan Lee, Kyeong-Seop Kim

Proceedings of the Advances in Neural Networks, 2007