Weonyoung Joo

Weonyoung Joo

KAIST

H-index: 7

Asia-South Korea

About Weonyoung Joo

Weonyoung Joo, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at KAIST, specializes in the field of Machine Learning, Generative Models, Representation Learning, Statistical Inference.

His recent articles reflect a diverse array of research interests and contributions to the field:

Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior

조건부 변분오토인코더 및 협업필터링을 활용한 복지 프로그램 추천

Counterfactual Image Generation by Disentangling Data Attributes with Deep Generative Models

Loss-Curvature Matching for Dataset Selection and Condensation

Sequential Likelihood-Free Inference with Neural Proposal

Constructing a Personalized Recommender System for Life Insurance Products with Machine‐Learning Techniques

Neural Posterior Regularization for Likelihood-Free Inference

Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder

Weonyoung Joo Information

University

Position

___

Citations(all)

277

Citations(since 2020)

277

Cited By

39

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Weonyoung Joo Skills & Research Interests

Machine Learning

Generative Models

Representation Learning

Statistical Inference

Top articles of Weonyoung Joo

Title

Journal

Author(s)

Publication Date

Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior

arXiv preprint arXiv:2401.06799

Youngjae Cho

HeeSun Bae

Seungjae Shin

Yeo Dong Youn

Weonyoung Joo

...

2024/1/9

조건부 변분오토인코더 및 협업필터링을 활용한 복지 프로그램 추천

대한산업공학회지

김성은, 지민기, 문일철, 주원영

2023/2

Counterfactual Image Generation by Disentangling Data Attributes with Deep Generative Models

Communications for Statistical Applications and Methods

Jieon Lim

Weonyoung Joo

2023/11/30

Loss-Curvature Matching for Dataset Selection and Condensation

Seungjae Shin

Heesun Bae

Donghyeok Shin

Weonyoung Joo

Il-Chul Moon

2023/4/11

Sequential Likelihood-Free Inference with Neural Proposal

Pattern Recognition Letters

Dongjun Kim

Kyungwoo Song

Yoon-Yeong Kim

Yongjin Shin

Wanmo Kang

...

2023/5/1

Constructing a Personalized Recommender System for Life Insurance Products with Machine‐Learning Techniques

Intelligent Systems in Accounting, Finance and Management

Hyeongwoo Kong

Wonje Yun

Weonyoung Joo

Ju‐Hyun Kim

Kyoung‐Kuk Kim

...

2022/10

Neural Posterior Regularization for Likelihood-Free Inference

arXiv preprint arXiv:2102.07770

Dongjun Kim

Kyungwoo Song

Seungjae Shin

Wanmo Kang

Il-Chul Moon

...

2021/2/15

Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder

Proceedings of the AAAI Conference on Artificial Intelligence

Hyemi Kim

Seungjae Shin

JoonHo Jang

Kyungwoo Song

Weonyoung Joo

...

2021/5/18

협업 필터링을 이용한 개인 맞춤형 보험 상품 추천

공형우, 김우창, 김경국, 문일철, 주원영, 김주현

2020/10/30

Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation

arXiv preprint arXiv:2004.03133

Seungjae Shin

Kyungwoo Song

JoonHo Jang

Hyemi Kim

Weonyoung Joo

...

2020/4/7

Deep Generative Positive-Unlabeled Learning under Selection Bias

Byeonghu Na

Hyemi Kim

Kyungwoo Song

Weonyoung Joo

Yoon-Yeong Kim

...

2020/10/19

The Layer Number of α-Evenly Distributed Point Sets

Discrete Mathematics

Ilkyoo Choi

Weonyoung Joo

Minki Kim

2020/10/1

Generalized Gumbel-Softmax Gradient Estimator for Generic Discrete Random Variables

arXiv preprint arXiv:2003.01847

Weonyoung Joo

Dongjun Kim

Seungjae Shin

Il-Chul Moon

2020/3/4

Dirichlet Variational Autoencoder

Pattern Recognition

Weonyoung Joo

Wonsung Lee

Sungrae Park

Il-Chul Moon

2020/11/1

Adversarial Likelihood-Free Inference on Black-Box Generator

arXiv preprint arXiv:2004.05803

Dongjun Kim

Weonyoung Joo

Seungjae Shin

Kyungwoo Song

Il-Chul Moon

2020/4/13

See List of Professors in Weonyoung Joo University(KAIST)

Co-Authors

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