Gwak, Daehoon

6 publications

NeurIPS 2025 Delving into Large Language Models for Effective Time-Series Anomaly Detection Junwoo Park, Kyudan Jung, Dohyun Lee, Hyuck Lee, Daehoon Gwak, ChaeHun Park, Jaegul Choo, Jaewoong Cho

CoRL 2025 Uncertainty-Aware Accurate Elevation Modeling for Off-Road Navigation via Neural Processes Sanghun Jung, Daehoon Gwak, Byron Boots, James Hays

ICLR 2024 Self-Supervised Contrastive Learning for Long-Term Forecasting Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi

NeurIPS 2023 PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun

NeurIPSW 2021 Conditional Generation of Periodic Signals with Fourier-Based Decoder Jiyoung Lee, Wonjae Kim, Daehoon Gwak, Edward Choi

ICCV 2021 Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo