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Il-Chul Moon
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Publications
- 2025
[c72]Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-Chul Moon:
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning. ICLR 2025
[i42]Yeongmin Kim, HeeSun Bae, Byeonghu Na, Il-Chul Moon:
Preference Optimization by Estimating the Ratio of the Data Distribution. CoRR abs/2505.19601 (2025)
[i41]Yeongmin Kim, Donghyeok Shin, Mina Kang, Byeonghu Na, Il-Chul Moon:
Distillation of Large Language Models via Concrete Score Matching. CoRR abs/2509.25837 (2025)
[i40]Donghyeok Shin, Yeongmin Kim, Suhyeon Jo, Byeonghu Na, Il-Chul Moon:
AMiD: Knowledge Distillation for LLMs with α-mixture Assistant Distribution. CoRR abs/2510.15982 (2025)- 2024
[c68]Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon:
Reward-based Input Construction for Cross-document Relation Extraction. ACL (1) 2024: 9254-9270
[c66]Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon:
Training Unbiased Diffusion Models From Biased Dataset. ICLR 2024
[c65]Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon:
Label-Noise Robust Diffusion Models. ICLR 2024
[c62]Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon:
Diffusion Rejection Sampling. ICML 2024: 37097-37121
[i35]Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon:
Label-Noise Robust Diffusion Models. CoRR abs/2402.17517 (2024)
[i33]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)
[i30]Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-Chul Moon:
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning. CoRR abs/2405.17111 (2024)
[i29]Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon:
Diffusion Rejection Sampling. CoRR abs/2405.17880 (2024)
[i27]Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon:
Reward-based Input Construction for Cross-document Relation Extraction. CoRR abs/2405.20649 (2024)- 2023
[c56]Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon:
SAAL: Sharpness-Aware Active Learning. ICML 2023: 16424-16440
[c55]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- 2022
[i20]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
[c43]Yeongmin Kim, Youngjae Cho, Hanbit Lee
, Il-Chul Moon:
Predict Sequential Credit Card Delinquency with VaDE-Seq2Seq. SMC 2021: 1159-1164

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