Daehoon Gwak

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Reinforcement Learning

Weather Forecasting

Top Venues

Publications

Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi
Self-Supervised Contrastive Forecasting. CoRR (2024)
Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi
Self-Supervised Contrastive Learning for Long-term Forecasting. ICLR (2024)
Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning. CoRR (2023)
Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning. NeurIPS (2023)
Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. ICCV (2021)
Jiyoung Lee, Wonjae Kim, Daehoon Gwak, Edward Choi
Conditional Generation of Periodic Signals with Fourier-Based Decoder. CoRR (2021)
Jeonghoon Park, Jimin Hong, Radhika Dua, Daehoon Gwak, Yixuan Li, Jaegul Choo, Edward Choi
Natural Attribute-based Shift Detection. CoRR (2021)
Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. CoRR (2021)
Jeonghoon Park, Kyungmin Jo, Daehoon Gwak, Jimin Hong, Jaegul Choo, Edward Choi
Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment. CoRR (2020)
Daehoon Gwak, Gyuhyeon Sim, Michael Poli, Stefano Massaroli, Jaegul Choo, Edward Choi
Neural Ordinary Differential Equations for Intervention Modeling. CoRR (2020)