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Weonyoung Joo
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Cited by
Year
Dirichlet Variational Autoencoder
W Joo, W Lee, S Park, IC Moon
Pattern Recognition 107, 107514, 2020
1012020
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
462021
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
372018
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
322019
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
272020
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
232020
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
122023
Generalized Gumbel-Softmax Gradient Estimator for Generic Discrete Random Variables
W Joo, D Kim, S Shin, I Moon
arXiv preprint arXiv:2003.01847, 2020
122020
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
62022
The Layer Number of α-Evenly Distributed Point Sets
I Choi, W Joo, M Kim
Discrete Mathematics 343 (10), 112029, 2020
52020
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
22020
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
arXiv preprint arXiv:2401.06799, 2024
2024
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
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