On casting importance weighted autoencoder to an EM algorithm to learn deep generative models. - Dongha Kim; Jaesung Hwang; Yongdai Kim (AISTATS, 2020)

ODIM: an efficient method to detect outliers via inlier-memorization effect of deep generative models. - Dongha Kim; Jaesung Hwang; Jongjin Lee; Kunwoong Kim; Yongdai Kim (CoRR, 2023)

ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models. - Dongha Kim; Jaesung Hwang; Jongjin Lee; Kunwoong Kim; Yongdai Kim (ICML, 2024)

ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect. - Seoyoung Cho; Jaesung Hwang; Kwan-Young Bak; Dongha Kim (AAAI, 2025)

Considering Length Diversity in Retrieval-Augmented Summarization. - Juseon-Do; Jaesung Hwang; Jingun Kwon; Hidetaka Kamigaito; Manabu Okumura (NAACL (Findings), 2025)