Learning from Nested Data with Ornstein Auto-Encoders. - Youngwon Choi; Sungdong Lee; Joong-Ho Won (ICML, 2021)

Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert. - Yoonhyung Lee; Sungdong Lee; Joong-Ho Won (ICML, 2022)

Impact of Diffusion-Perfusion Mismatch on Predicting Final Infarction Lesion Using Deep Learning. - Sungdong Lee; Leonard Sunwoo; Youngwon Choi; Jae Hyup Jung; Seung Chai Jung; Joong-Ho Won (IEEE Access, 2022)

StrWAEs to Invariant Representations. - Hyunjong Lee; Yedarm Seong; Sungdong Lee; Joong-Ho Won (ICML, 2024)

Learning Massive-scale Partial Correlation Networks in Clinical Multi-omics Studies with HP-ACCORD. - Sungdong Lee; Joshua Bang; Youngrae Kim; Hyungwon Choi; Sang-Yun Oh; Joong-Ho Won (CoRR, 2024)