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Il-Chul Moon

15 papers at tracked venues · 15 at CORE A* · active 2024–2025

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Venues

ICLR ×8NeurIPS ×3ICML ×2AAAI ×1ACL ×1

Frequent coauthors

Byeonghu Na
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Yeongmin Kim
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Hyungho Na
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Donghyeok Shin
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HeeSun Bae
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Youngjae Cho
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Seungjae Shin
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Papers

  1. Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models
    NeurIPS 2025 ·
    Byeonghu Na
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  2. Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
    ICLR 2025 ·
    Yeongmin Kim
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  3. Distilling Dataset into Neural Field
    ICLR 2025 ·
    Donghyeok Shin
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  4. Preference Optimization by Estimating the Ratio of the Data Distribution
    NeurIPS 2025 ·
    Yeongmin Kim
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  5. Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models
    NeurIPS 2025 ·
    Byeonghu Na
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  6. Trajectory-Class-Aware Multi-Agent Reinforcement Learning
    ICLR 2025 ·
    Hyungho Na
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  7. Diffusion Rejection Sampling
    ICML 2024 ·
    Byeonghu Na
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  8. Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
    ICLR 2024 ·
    HeeSun Bae
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  9. Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
    ICLR 2024 ·
    Hyungho Na
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  10. LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
    ICML 2024 ·
    Hyungho Na
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  11. Label-Noise Robust Diffusion Models
    ICLR 2024 ·
    Byeonghu Na
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  12. Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
    AAAI 2024 ·
    Youngjae Cho
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  13. Reward-based Input Construction for Cross-document Relation Extraction
    ACL 2024 ·
    Byeonghu Na
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  14. Training Unbiased Diffusion Models From Biased Dataset
    ICLR 2024 ·
    Yeongmin Kim
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  15. Unknown Domain Inconsistency Minimization for Domain Generalization
    ICLR 2024 ·
    Seungjae Shin
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