Moon, Il-Chul

37 publications

NeurIPS 2025 Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models Byeonghu Na, Minsang Park, Gyuwon Sim, Donghyeok Shin, HeeSun Bae, Mina Kang, Se Jung Kwon, Wanmo Kang, Il-chul Moon

ICLR 2025 Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-chul Moon

ICLR 2025 Distilling Dataset into Neural Field Donghyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, Il-chul Moon

NeurIPS 2025 Preference Optimization by Estimating the Ratio of the Data Distribution Yeongmin Kim, HeeSun Bae, Byeonghu Na, Il-chul Moon

NeurIPS 2025 Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models Byeonghu Na, Mina Kang, Jiseok Kwak, Minsang Park, Jiwoo Shin, SeJoon Jun, Gayoung Lee, Jin-Hwa Kim, Il-chul Moon

ICLR 2025 Trajectory-Class-Aware Multi-Agent Reinforcement Learning Hyungho Na, Kwanghyeon Lee, Sumin Lee, Il-chul Moon

ICMLW 2024 DPO-Finetuned Large Multi-Modal Planner with Retrieval-Augmented Generation @ EgoPlan Challenge ICML 2024 Kwanghyeon Lee, Mina Kang, Hyungho Na, HeeSun Bae, Byeonghu Na, Doyun Kwon, Seungjae Shin, Yeongmin Kim, Kim Taewoo, Seungmin Yun, Il-chul Moon

ICML 2024 Diffusion Rejection Sampling Byeonghu Na, Yeongmin Kim, Minsang Park, Donghyeok Shin, Wanmo Kang, Il-Chul Moon

ICLR 2024 Dirichlet-Based Per-Sample Weighting by Transition Matrix for Noisy Label Learning HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-chul Moon

ICLR 2024 Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning Hyungho Na, Yunkyeong Seo, Il-chul Moon

ICML 2024 LAGMA: LAtent Goal-Guided Multi-Agent Reinforcement Learning Hyungho Na, Il-Chul Moon

ICLR 2024 Label-Noise Robust Diffusion Models Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-chul Moon

AAAI 2024 Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon

ICLR 2024 Training Unbiased Diffusion Models from Biased Dataset Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-chul Moon

ICLR 2024 Unknown Domain Inconsistency Minimization for Domain Generalization Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-chul Moon

NeurIPS 2023 Frequency Domain-Based Dataset Distillation Donghyeok Shin, Seungjae Shin, Il-chul Moon

AISTATS 2023 Loss-Curvature Matching for Dataset Selection and Condensation Seungjae Shin, Heesun Bae, Donghyeok Shin, Weonyoung Joo, Il-Chul Moon

ICML 2023 Refining Generative Process with Discriminator Guidance in Score-Based Diffusion Models Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon

ICML 2023 SAAL: Sharpness-Aware Active Learning Yoon-Yeong Kim, Youngjae Cho, Joonho Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

ICML 2022 From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model Heesun Bae, Seungjae Shin, Byeonghu Na, Joonho Jang, Kyungwoo Song, Il-Chul Moon

ICMLW 2022 Improving Group-Based Robustness and Calibration via Ordered Risk and Confidence Regularization Seungjae Shin, Byeonghu Na, HeeSun Bae, JoonHo Jang, Hyemi Kim, Kyungwoo Song, Youngjae Cho, Il-chul Moon

NeurIPS 2022 Maximum Likelihood Training of Implicit Nonlinear Diffusion Model Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-chul Moon

ICML 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

NeurIPS 2022 Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation JoonHo Jang, Byeonghu Na, Dong Hyeok Shin, Mingi Ji, Kyungwoo Song, Il-chul Moon

NeurIPSW 2022 Unsupervised Controllable Generation with Score-Based Diffusion Models: Disentangled Latent Code Guidance Yeongmin Kim, Dongjun Kim, HyeonMin Lee, Il-chul Moon

AAAI 2021 Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon

AAAI 2021 Implicit Kernel Attention Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon

NeurIPS 2021 LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-chul Moon

CVPR 2021 Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, Il-Chul Moon

AAAI 2020 Bivariate Beta-LSTM Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon

AAAI 2020 Hierarchically Clustered Representation Learning Su-Jin Shin, Kyungwoo Song, Il-Chul Moon

AAAI 2020 Sequential Recommendation with Relation-Aware Kernelized Self-Attention Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon

AAAI 2019 Adversarial Dropout for Recurrent Neural Networks Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon

AAAI 2019 Hierarchical Context Enabled Recurrent Neural Network for Recommendation Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon

AAAI 2018 Adversarial Dropout for Supervised and Semi-Supervised Learning Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon

AAAI 2018 Neural Ideal Point Estimation Network Kyungwoo Song, Wonsung Lee, Il-Chul Moon

IJCAI 2016 Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping Wonsung Lee, Youngmin Lee, Heeyoung Kim, Il-Chul Moon