Yun, Eunggu

10 publications

NeurIPS 2025 ELDET: Early-Learning Distillation with Noisy Labels for Object Detection Dongmin Choi, Sangbin Lee, EungGu Yun, Jonghyuk Baek, Frank C. Park

ICLR 2025 Language-Assisted Feature Transformation for Anomaly Detection EungGu Yun, Heonjin Ha, Yeongwoo Nam, Bryan Dongik Lee

ICML 2024 A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models Taehong Moon, Moonseok Choi, Eunggu Yun, Jongmin Yoon, Gayoung Lee, Jaewoong Cho, Juho Lee

NeurIPSW 2023 A Generative Self-Supervised Framework Using Functional Connectivity in fMRI Data Jungwon Choi, Seongho Keum, EungGu Yun, Byung-Hoon Kim, Juho Lee

ICMLW 2023 Early Exiting for Accelerated Inference in Diffusion Models Taehong Moon, Moonseok Choi, EungGu Yun, Jongmin Yoon, Gayoung Lee, Juho Lee

NeurIPSW 2023 Large-Scale Graph Representation Learning of Dynamic Brain Connectome with Transformers Byung-Hoon Kim, Jungwon Choi, EungGu Yun, Kyungsang Kim, Xiang Li, Juho Lee

ICLR 2023 Martingale Posterior Neural Processes Hyungi Lee, Eunggu Yun, Giung Nam, Edwin Fong, Juho Lee

ICML 2023 Probabilistic Imputation for Time-Series Classification with Missing Data Seunghyun Kim, Hyunsu Kim, Eunggu Yun, Hwangrae Lee, Jaehun Lee, Juho Lee

ICML 2023 Traversing Between Modes in Function Space for Fast Ensembling Eunggu Yun, Hyungi Lee, Giung Nam, Juho Lee

ICLR 2022 Scale Mixtures of Neural Network Gaussian Processes Hyungi Lee, Eunggu Yun, Hongseok Yang, Juho Lee