Daehoon Gwak

According to our database, Daehoon Gwak authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs.

Daehoon Gwak, Minseo Jung, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung, Jaegul Choo

CoRR, September, 2025

Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes.

Sanghun Jung, Daehoon Gwak, Byron Boots, James Hays

CoRR, August, 2025

Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models.

Junwoo Park, Hyuck Lee, Dohyun Lee, Daehoon Gwak, Jaegul Choo

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

2024

Self-Supervised Contrastive Forecasting.

Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi

CoRR, 2024

Self-Supervised Contrastive Learning for Long-term Forecasting.

Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling.

Daehoon Gwak, Junwoo Park, Minho Park, ChaeHun Park, Hyunchan Lee, Edward Choi, Jaegul Choo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning.

Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Conditional Generation of Periodic Signals with Fourier-Based Decoder.

Jiyoung Lee, Wonjae Kim, Daehoon Gwak, Edward Choi

CoRR, 2021

Natural Attribute-based Shift Detection.

Jeonghoon Park, Jimin Hong, Radhika Dua, Daehoon Gwak, Yixuan Li, Jaegul Choo, Edward Choi

CoRR, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment.

Jeonghoon Park, Kyungmin Jo, Daehoon Gwak, Jimin Hong, Jaegul Choo, Edward Choi

CoRR, 2020

Neural Ordinary Differential Equations for Intervention Modeling.

Daehoon Gwak, Gyuhyeon Sim, Michael Poli, Stefano Massaroli, Jaegul Choo, Edward Choi

CoRR, 2020