Il-Chul Moon

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 98

Top Venues

Publications

Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
Label-Noise Robust Diffusion Models. CoRR (2024)
Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-Chul Moon
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning. CoRR (2024)
HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning. CoRR (2024)
Hyungho Na, Yunkyeong Seo, Il-Chul Moon
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning. CoRR (2024)
Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon
Training Unbiased Diffusion Models From Biased Dataset. CoRR (2024)
Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon
Reward-based Input Construction for Cross-document Relation Extraction. CoRR (2024)
Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon
Unknown Domain Inconsistency Minimization for Domain Generalization. CoRR (2024)
Hyungho Na, Il-Chul Moon
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning. CoRR (2024)
Hyungho Na, Yunkyeong Seo, Il-Chul Moon
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning. ICLR (2024)
Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
Label-Noise Robust Diffusion Models. ICLR (2024)
Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon
Reward-based Input Construction for Cross-document Relation Extraction. ACL (1) (2024)
Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior. CoRR (2024)
HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning. ICLR (2024)
Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon
Training Unbiased Diffusion Models From Biased Dataset. ICLR (2024)
Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior. AAAI (2024)
Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon
Diffusion Rejection Sampling. CoRR (2024)
Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon
Unknown Domain Inconsistency Minimization for Domain Generalization. ICLR (2024)
Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon
Loss-Curvature Matching for Dataset Selection and Condensation. AISTATS (2023)
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 (2023)
Hyungho Na, Jaemyung Ahn, Il-Chul Moon
Weapon-Target Assignment by Reinforcement Learning with Pointer Network. J. Aerosp. Inf. Syst. 20 (1) (2023)
Tae-Sub Yun, Minsang Park, Il-Chul Moon
Modeling and Calibrating Digital Twin of Automatic Garbage Collection System in Sejong City. ANNSIM (2023)
Suhyeon Jo, DongHyeok Shin, Byeonghu Na, JoonHo Jang, Il-Chul Moon
Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy. CIKM (2023)
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)
DongHyeok Shin, Seungjae Shin, Il-Chul Moon
Frequency Domain-based Dataset Distillation. CoRR (2023)
Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon
Loss-Curvature Matching for Dataset Selection and Condensation. CoRR (2023)
DongHyeok Shin, Seungjae Shin, Il-Chul Moon
Frequency Domain-Based Dataset Distillation. NeurIPS (2023)
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)
Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models. CoRR (2022)
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)
Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model. NeurIPS (2022)
HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model. ICML (2022)
HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model. CoRR (2022)
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)
Dongjun Kim, Yeongmin Kim, Wanmo Kang, Il-Chul Moon
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models. CoRR (2022)
Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, Jang Won Bae
Automatic Calibration Framework of Agent-Based Models for Dynamic and Heterogeneous Parameters. CoRR (2022)
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)
JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation. CoRR (2022)
Hyeongwoo Kong, Wonje Yun, Weonyoung Joo, Ju-Hyun Kim, Kyoung-Kuk Kim, Il-Chul Moon, Woo Chang Kim
Constructing a personalized recommender system for life insurance products with machine-learning techniques. Intell. Syst. Account. Finance Manag. 29 (4) (2022)
JoonHo Jang, Byeonghu Na, DongHyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation. NeurIPS (2022)
Jang Won Bae, Il-Chul Moon
Practical Formalism-Based Approaches for Multi-Resolution Modeling and Simulation. Syst. 10 (5) (2022)
Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon
Score Matching Model for Unbounded Data Score. CoRR (2021)
Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-Chul Moon
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning. NeurIPS (2021)
Dongjun Kim, Kyungwoo Song, Seungjae Shin, Wanmo Kang, Il-Chul Moon
Posterior-Aided Regularization for Likelihood-Free Inference. CoRR (2021)
Yeongmin Kim, Youngjae Cho, Hanbit Lee, Il-Chul Moon
Predict Sequential Credit Card Delinquency with VaDE-Seq2Seq. SMC (2021)
Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, Il-Chul Moon
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation. CoRR (2021)
Yoon-Yeong Kim, Hyemi Kim, Wonsung Lee, Han-Lim Choi, Il-Chul Moon
Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles. J. Aerosp. Inf. Syst. 18 (4) (2021)
Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon
Implicit Kernel Attention. AAAI (2021)
Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, Il-Chul Moon
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation. CVPR (2021)
Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. AAAI (2021)
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) (2021)
Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, Il-Chul Moon
Deep Generative Positive-Unlabeled Learning under Selection Bias. CIKM (2020)
Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon
Bivariate Beta-LSTM. AAAI (2020)
Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation. EMNLP (Findings) (2020)
Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation. CoRR (2020)
Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon
Dirichlet Variational Autoencoder. Pattern Recognit. 107 (2020)
Tae-Sub Yun, Il-Chul Moon
Housing Market Agent-Based Simulation with Loan-To-Value and Debt-To-Income. J. Artif. Soc. Soc. Simul. 23 (4) (2020)
Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon
Sequential Recommendation with Relation-Aware Kernelized Self-Attention. AAAI (2020)
Weonyoung Joo, Dongjun Kim, Seungjae Shin, Il-Chul Moon
Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables. CoRR (2020)
Yongjin Shin, Gihun Lee, Seungjae Shin, Seyoung Yun, Il-Chul Moon
FEWER: Federated Weight Recovery. DistributedML@CoNEXT (2020)
Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-Chul Moon
LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning. CoRR (2020)
Jang Won Bae, Junseok Lee, Do-Hyung Kim, Kanghoon Lee, Jongmin Lee, Kee-Eung Kim, Il-Chul Moon
Layered Behavior Modeling via Combining Descriptive and Prescriptive Approaches: A Case Study of Infantry Company Engagement. IEEE Trans. Syst. Man Cybern. Syst. 50 (7) (2020)
Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Il-Chul Moon
Sequential Likelihood-Free Inference with Implicit Surrogate Proposal. CoRR (2020)
Su-Jin Shin, Kyungwoo Song, Il-Chul Moon
Hierarchically Clustered Representation Learning. AAAI (2020)
Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon
Implicit Kernel Attention. CoRR (2020)
Dongjun Kim, Weonyoung Joo, Seungjae Shin, Il-Chul Moon
Adversarial Likelihood-Free Inference on Black-Box Generator. CoRR (2020)
Tae-Sub Yun, Il-Chul Moon, Young-Chul Kim, Ki-Sung Jin
Agent-Based Modeling and Simulation on Residential Population Movement Patterns: The Case of Sejong City. WSC (2020)
JoonHo Jang, Seungjae Shin, Hyunjin Lee, Il-Chul Moon
Forecasting the Concentration of Particulate Matter in the Seoul Metropolitan Area Using a Gaussian Process Model. Sensors 20 (14) (2020)
Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. CoRR (2020)
Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon
Sequential Recommendation with Relation-Aware Kernelized Self-Attention. CoRR (2019)
Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon
Bivariate Beta LSTM. CoRR (2019)
Su-Jin Shin, Kyungwoo Song, Il-Chul Moon
Hierarchically Clustered Representation Learning. CoRR (2019)
Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon
Adversarial Dropout for Recurrent Neural Networks. AAAI (2019)
Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon
Hierarchical Context enabled Recurrent Neural Network for Recommendation. CoRR (2019)
Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon
Hierarchical Context Enabled Recurrent Neural Network for Recommendation. AAAI (2019)
Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon
Adversarial Dropout for Recurrent Neural Networks. CoRR (2019)
Su-Jin Shin, Ahram Kang, Doyun Kim, Junseok Lee, Jang Won Bae, Il-Chul Moon
Improving counterfire operations with enhanced command and control structure. Comput. Math. Organ. Theory 25 (4) (2019)
Dongjun Kim, Tae-Sub Yun, Il-Chul Moon
Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model. CoRR (2019)
Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon
Dirichlet Variational Autoencoder. CoRR (2019)
Kyungwoo Song, Wonsung Lee, Il-Chul Moon
Neural Ideal Point Estimation Network. CoRR (2019)
Wonsung Lee, Sungrae Park, Weonyoung Joo, Il-Chul Moon
Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling. ICDM (2018)
Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon
Adversarial Dropout for Supervised and Semi-Supervised Learning. AAAI (2018)
Jang Won Bae, Kyohong Shin, Hyun-Rok Lee, Hyun Jin Lee, Taesik Lee, Chu Hyun Kim, Won Chul Cha, Gi Woon Kim, Il-Chul Moon
Evaluation of Disaster Response System Using Agent-Based Model With Geospatial and Medical Details. IEEE Trans. Syst. Man Cybern. Syst. 48 (9) (2018)
Su-Jin Shin, Je-Yong Oh, Sungrae Park, Minki Kim, Il-Chul Moon
Hierarchical prescription pattern analysis with symptom labels. Pattern Recognit. Lett. 111 (2018)
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)
Seongcheol Woo, Juneyeong Yeon, Mingi Ji, Il-Chul Moon, Jinkyoo Park
Deep Reinforcement Learning with Fully Convolutional Neural Network to Solve an Earthwork Scheduling Problem. SMC (2018)
Kyungwoo Song, Wonsung Lee, Il-Chul Moon
Neural Ideal Point Estimation Network. AAAI (2018)
Su-Jin Shin, Il-Chul Moon
Guided HTM: Hierarchical Topic Model with Dirichlet Forest Priors. IEEE Trans. Knowl. Data Eng. 29 (2) (2017)
Sungrae Park, Doosup Choi, Minki Kim, Won Chul Cha, Chu Hyun Kim, Il-Chul Moon
Identifying prescription patterns with a topic model of diseases and medications. J. Biomed. Informatics 75 (2017)
Jun-Keon Park, YeongYeon Na, Il-Chul Moon
Text augmented automatic statistician for predicting approval rates of politicians. SMC (2017)
Wonsung Lee, Kyungwoo Song, Il-Chul Moon
Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information. CIKM (2017)
Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon
Adversarial Dropout for Supervised and Semi-supervised Learning. CoRR (2017)
Jang Won Bae, Bowon Nam, Kee-Eung Kim, Junseok Lee, Il-Chul Moon
Hybrid modeling and simulation of tactical maneuvers in computer generated force. SMC (2017)
Kyungwoo Song, Sang-Hyeon Kim, Jinhyung Tak, Han-Lim Choi, Il-Chul Moon
Data-driven ballistic coefficient learning for future state prediction of high-speed vehicles. FUSION (2016)
Jang Won Bae, Il-Chul Moon
LDEF Formalism for Agent-Based Model Development. IEEE Trans. Syst. Man Cybern. Syst. 46 (6) (2016)
Jang Won Bae, J. H. Kim, Il-Chul Moon, Tag Gon Kim
Accelerated simulation of hierarchical military operations with tabulation technique. J. Simulation 10 (1) (2016)
Jang Won Bae, Sang Won Bae, Il-Chul Moon, Tag Gon Kim
Efficient Flattening Algorithm for Hierarchical and Dynamic Structure Discrete Event Models. ACM Trans. Model. Comput. Simul. 26 (4) (2016)
Taesik Lee, Kyohong Shin, Hyun-Rok Lee, Hyun Jin Lee, Inkyung Sung, Junseok Lee, Il-Chul Moon, Jang Won Bae
Characterizing emergency responses in localities with different social infrastructures using EMSSim. WSC (2016)
Wonsung Lee, Youngmin Lee, Heeyoung Kim, Il-Chul Moon
Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping. IJCAI (2016)
Su-Jin Shin, Je-Yong Oh, Sungrae Park, Minki Kim, Il-Chul Moon
Hierarchical Prescription Pattern Analysis with Symptom Labels. ICDM Workshops (2015)
SeHoon Lee, Jeong-Hee Hong, Jang Won Bae, Il-Chul Moon
Impact of Population Relocation to City Commerce: Micro-Level Estimation with Validated Agent-Based Model. J. Artif. Soc. Soc. Simul. 18 (2) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Il-Chul Moon