| Dirichlet Variational Autoencoder W Joo, W Lee, S Park, IC Moon Pattern Recognition 107, 107514, 2020 | 114 | 2020 |
| Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder H Kim, S Shin, JH Jang, K Song, W Joo, W Kang, IC Moon Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8128-8136, 2021 | 62 | 2021 |
| Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling W Lee, S Park, W Joo, IC Moon 2018 IEEE International Conference on Data Mining (ICDM), 1104-1109, 2018 | 40 | 2018 |
| Sequential Recommendation with Relation-Aware Kernelized Self-Attention M Ji, W Joo, K Song, YY Kim, IC Moon arXiv preprint arXiv:1911.06478, https://arxiv.org/abs/1911.06478, 2019 | 38 | 2019 |
| Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation S Shin, K Song, JH Jang, H Kim, W Joo, IC Moon arXiv preprint arXiv:2004.03133, 2020 | 30 | 2020 |
| Deep Generative Positive-Unlabeled Learning under Selection Bias B Na, H Kim, K Song, W Joo, YY Kim, IC Moon Proceedings of the 29th ACM International Conference on Information …, 2020 | 25 | 2020 |
| Loss-Curvature Matching for Dataset Selection and Condensation S Shin, H Bae, D Shin, W Joo, IC Moon International Conference on Artificial Intelligence and Statistics, 8606-8628, 2023 | 24 | 2023 |
| Generalized Gumbel-Softmax Gradient Estimator for Generic Discrete Random Variables W Joo, D Kim, S Shin, I Moon arXiv preprint arXiv:2003.01847, 2020 | 14 | 2020 |
| Constructing a Personalized Recommender System for Life Insurance Products with Machine‐Learning Techniques H Kong, W Yun, W Joo, JH Kim, KK Kim, IC Moon, WC Kim Intelligent Systems in Accounting, Finance and Management 29 (4), 242-253, 2022 | 11 | 2022 |
| The Layer Number of α-Evenly Distributed Point Sets I Choi, W Joo, M Kim Discrete Mathematics 343 (10), 112029, 2020 | 6 | 2020 |
| Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior Y Cho, HS Bae, S Shin, YD Youn, W Joo, IC Moon Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11552 …, 2024 | 2 | 2024 |
| Sequential Likelihood-Free Inference with Neural Proposal D Kim, K Song, YY Kim, Y Shin, W Kang, IC Moon, W Joo Pattern Recognition Letters 169, 102-109, 2023 | 2* | 2023 |
| Neural Posterior Regularization for Likelihood-Free Inference D Kim, K Song, S Shin, W Kang, IC Moon, W Joo arXiv preprint arXiv:2102.07770, 2021 | 2* | 2021 |
| Adversarial Likelihood-Free Inference on Black-Box Generator D Kim, W Joo, S Shin, K Song, IC Moon arXiv preprint arXiv:2004.05803, 2020 | 2 | 2020 |
| Counterfactual Image Generation by Disentangling Data Attributes with Deep Generative Models J Lim, W Joo Communications for Statistical Applications and Methods 30 (6), 589-603, 2023 | | 2023 |
| 조건부 변분오토인코더 및 협업필터링을 활용한 복지 프로그램 추천 김성은， 지민기， 문일철， 주원영 대한산업공학회지 49 (1), 28-36, 2023 | | 2023 |
| 협업 필터링을 이용한 개인 맞춤형 보험 상품 추천 공형우， 김우창， 김경국， 문일철， 주원영， 김주현 한국경영과학회 추계학술대회, 2020 | | 2020 |
| 강화학습과 어텐션 기반의 뉴럴 네트워크를 사용한 토공사 작업 경로 생성 자동화 지민기， 주원영， 송경우， 박진규， 문일철 대한산업공학회 춘계공동학술대회 논문집, 911-941, 2019 | | 2019 |
Il-Chul MoonAssociate Professor, Department of Industrial and Systems Engineering, KAISTkaist.ac.kr의 이메일 확인됨
