Kim, Dongmin

7 publications

ICLR 2026 From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning Seungdong Yoa, Sanghyu Yoon, Suhee Yoon, Dongmin Kim, Ye Seul Sim, Junhyun Lee, Woohyung Lim

ICLR 2026 ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Sanghyu Yoon, Dongmin Kim, Suhee Yoon, Ye Seul Sim, Seungdong Yoa, Hye-Seung Cho, Soonyoung Lee, Hankook Lee, Woohyung Lim

AAAI 2025 Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data Moonjung Eo, Kyungeun Lee, Hye-Seung Cho, Dongmin Kim, Ye Seul Sim, Woohyung Lim

AAAI 2024 When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection Dongmin Kim, Sunghyun Park, Jaegul Choo

ECML-PKDD 2023 Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi

NeurIPS 2022 WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting Youngin Cho, Daejin Kim, Dongmin Kim, Mohammad Azam Khan, Jaegul Choo

ICML 2010 A Scalable Trust-Region Algorithm with Application to Mixed-Norm Regression Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon