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Dongjun Kim
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2020 – today
- 2024
- [j5]Dongjun Kim, Minho Choi, Jumyung Um:
Digital twin for autonomous collaborative robot by using synthetic data and reinforcement learning. Robotics Comput. Integr. Manuf. 85: 102632 (2024) - [c18]Han Cho, Dongjun Kim, Seungeon Hwang, Jongsun Park:
SpARC: Token Similarity-Aware Sparse Attention Transformer Accelerator via Row-wise Clustering. DAC 2024: 181:1-181:6 - [c17]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:
Manifold Preserving Guided Diffusion. ICLR 2024 - [c16]Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon:
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion. ICLR 2024 - [c15]Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon:
Training Unbiased Diffusion Models From Biased Dataset. ICLR 2024 - [c14]Sungwoo Park, Dongjun Kim, Ahmed Alaa:
Mean-field Chaos Diffusion Models. ICML 2024 - [c13]Dongjun Kim, Han Cho, Jongsun Park:
iSPADE: End-to-end Sparse Architecture for Dense DNN Acceleration via Inverted-bit Representation. ISLPED 2024: 1-6 - [c12]Dongjun Kim, Juhyun Kim, Seungbin You, Eunho Sung, Jaeheung Park:
Preliminary Study and Analysis of MUAT: Modularized Ultralight Arm Tracker for Humanoid Teleoperation. UR 2024: 635-641 - [c11]Cherry Kim, Seongjin Wang, Dongjun Kim, Shijia Pan, Jun Han:
ImpacTile: Tile-level Localization for the Visually Impaired using Structural Uniqueness. HotMobile 2024: 86-92 - [c10]Cherry Kim, Seongjin Wang, Dongjun Kim, Shijia Pan, Jun Han:
Poster: ImpacTile: Tile-level Localization for the Visually Impaired using Structural Uniqueness. HotMobile 2024: 148 - [i19]Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon:
Training Unbiased Diffusion Models From Biased Dataset. CoRR abs/2403.01189 (2024) - [i18]Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon:
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher. CoRR abs/2405.14822 (2024) - [i17]Koichi Saito, Dongjun Kim, Takashi Shibuya, Chieh-Hsin Lai, Zhi Zhong, Yuhta Takida, Yuki Mitsufuji:
SoundCTM: Uniting Score-based and Consistency Models for Text-to-Sound Generation. CoRR abs/2405.18503 (2024) - [i16]Sungwoo Park, Dongjun Kim, Ahmed Alaa:
Mean-field Chaos Diffusion Models. CoRR abs/2406.05396 (2024) - [i15]Zhuo Zheng, Stefano Ermon, Dongjun Kim, Liangpei Zhang, Yanfei Zhong:
Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model. CoRR abs/2406.17998 (2024) - [i14]Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, Yuki Mitsufuji:
Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning. CoRR abs/2410.05116 (2024) - 2023
- [j4]Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo:
Sequential Likelihood-Free Inference with Neural Proposal. Pattern Recognit. Lett. 169: 102-109 (2023) - [c9]Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon:
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models. ICML 2023: 16567-16598 - [i13]Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon:
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion. CoRR abs/2310.02279 (2023) - [i12]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:
Manifold Preserving Guided Diffusion. CoRR abs/2311.16424 (2023) - 2022
- [j3]Tae-Sub Yun, Dongjun Kim, Il-Chul Moon, Jang Won Bae:
Agent-Based Model for Urban Administration: A Case Study of Bridge Construction and its Traffic Dispersion Effect. J. Artif. Soc. Soc. Simul. 25(4) (2022) - [c8]Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, Jang Won Bae:
Automatic Calibration Framework of Agent-based Models for Dynamic and Heterogeneous Parameters. AAMAS 2022: 1941-1943 - [c7]Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon:
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation. ICML 2022: 11201-11228 - [c6]Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon:
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model. NeurIPS 2022 - [i11]Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, Jang Won Bae:
Automatic Calibration Framework of Agent-Based Models for Dynamic and Heterogeneous Parameters. CoRR abs/2203.03147 (2022) - [i10]Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon:
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models. CoRR abs/2205.13699 (2022) - [i9]Dongjun Kim, Yeongmin Kim, Wanmo Kang, Il-Chul Moon:
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models. CoRR abs/2211.17091 (2022) - 2021
- [j2]Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, Jang Won Bae:
Automatic calibration of dynamic and heterogeneous parameters in agent-based models. Auton. Agents Multi Agent Syst. 35(2): 46 (2021) - [c5]Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon:
Implicit Kernel Attention. AAAI 2021: 9713-9721 - [i8]Dongjun Kim, Kyungwoo Song, Seungjae Shin, Wanmo Kang, Il-Chul Moon:
Posterior-Aided Regularization for Likelihood-Free Inference. CoRR abs/2102.07770 (2021) - [i7]Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon:
Score Matching Model for Unbounded Data Score. CoRR abs/2106.05527 (2021) - 2020
- [c4]Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo:
Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence. CVPR 2020: 5800-5809 - [i6]Weonyoung Joo, Dongjun Kim, Seungjae Shin, Il-Chul Moon:
Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables. CoRR abs/2003.01847 (2020) - [i5]Dongjun Kim, Weonyoung Joo, Seungjae Shin, Il-Chul Moon:
Adversarial Likelihood-Free Inference on Black-Box Generator. CoRR abs/2004.05803 (2020) - [i4]Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo:
Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence. CoRR abs/2005.05207 (2020) - [i3]Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon:
Implicit Kernel Attention. CoRR abs/2006.06147 (2020) - [i2]Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Il-Chul Moon:
Sequential Likelihood-Free Inference with Implicit Surrogate Proposal. CoRR abs/2010.07604 (2020)
2010 – 2019
- 2019
- [i1]Dongjun Kim, Tae-Sub Yun, Il-Chul Moon:
Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model. CoRR abs/1908.03309 (2019) - 2018
- [c3]Il-Chul Moon, Dongjun Kim, Tae-Sub Yun, Jang Won Bae, Dong-oh Kang, Euihyun Paik:
Data-Driven Automatic Calibration for Validation of Agent-Based Social Simulations. SMC 2018: 1605-1610 - 2016
- [j1]Jungsun Jang, Yeonsoo Lee, Seolhwa Lee, Dongwon Shin, Dongjun Kim, Hae-Chang Rim:
A novel density-based clustering method using word embedding features for dialogue intention recognition. Clust. Comput. 19(4): 2315-2326 (2016)
2000 – 2009
- 2008
- [c2]Dongjun Kim, Changwon Jeon, Bonghyup Kang, Hanseok Ko:
Enhancement of image degraded by fog using cost function based on human visual model. MFI 2008: 64-67 - 2007
- [c1]Dongjun Kim, Seungjin Woo, Jeong-Whan Lee, Kyeong-Seop Kim:
Human Sensibility Evaluation Using Neural Network and Multiple-Template Method on Electroencephalogram (EEG). ISNN (2) 2007: 1187-1193
Coauthor Index
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last updated on 2024-12-02 22:29 CET by the dblp team
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