Um, Daeho

8 publications

ICML 2025 PRIME: Deep Imbalanced Regression with Proxies Jongin Lim, Sucheol Lee, Daeho Um, Sung-Un Park, Jinwoo Shin

ICML 2025 Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features Daeho Um, Sunoh Kim, Jiwoong Park, Jongin Lim, Seong Jin Ahn, Seulki Park

ICLR 2025 Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features Daeho Um, Yoonji Lee, Jiwoong Park, Seulki Park, Yuneil Yeo, Seong Jin Ahn

ICLR 2025 Spreading Out-of-Distribution Detection on Graphs Daeho Um, Jongin Lim, Sunoh Kim, Yuneil Yeo, Yoonho Jung

NeurIPS 2024 Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation Daeho Um, Ji Won Yoon, Seong Jin Ahn, Yunha Yeo

ECCVW 2024 RoCOCO: Robustness Benchmark of MS-COCO to Stress-Test Image-Text Matching Models Seulki Park, Daeho Um, Hajung Yoon, Sanghyuk Chun, Sangdoo Yun

ICLR 2023 Confidence-Based Feature Imputation for Graphs with Partially Known Features Daeho Um, Jiwoong Park, Seulki Park, Jin young Choi

AAAI 2021 Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi