Yoon-Yeong Kim

According to our database, Yoon-Yeong Kim authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

PDE-regularized Dynamics-informed Diffusion with Uncertainty-aware Filtering for Long-Horizon Dynamics.

Min Young Baeg, Yoon-Yeong Kim

CoRR, April, 2026

2025

ARES: Auxiliary Range Expansion for Outlier Synthesis.

Eui-Soo Jung, Hae-Hun Seo, Hyun-Woo Jung, Je-Geon Oh, Yoon-Yeong Kim

CoRR, January, 2025

Automatic Seed Word Selection for Topic Modeling.

Dahyun Jeong, Jeongin Hwang, Yunjin Choi, Yoon-Yeong Kim

IEEE Access, 2025

2024

Unknown Domain Inconsistency Minimization for Domain Generalization.

Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Sequential Likelihood-Free Inference with Neural Proposal.

Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo

Pattern Recognit. Lett., May, 2023

SAAL: Sharpness-Aware Active Learning.

Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

Proceedings of the International Conference on Machine Learning, 2023

2021

Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles.

Yoon-Yeong Kim, Hyemi Kim, Wonsung Lee, Han-Lim Choi, Il-Chul Moon

J. Aerosp. Inf. Syst., April, 2021

LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning.

Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-Chul Moon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning.

Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-Chul Moon

CoRR, 2020

Sequential Likelihood-Free Inference with Implicit Surrogate Proposal.

Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Il-Chul Moon

CoRR, 2020

Deep Generative Positive-Unlabeled Learning under Selection Bias.

Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, Il-Chul Moon

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Sequential Recommendation with Relation-Aware Kernelized Self-Attention.

Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020