Chaewon Moon

M.S. student at KAIST

chaewon.moon [AT] kaist.ac.kr

CV

About

I am a Master's student at KAIST AI, advised by Prof. Chulhee Yun. Previously, I completed my B.S. in Industrial Engineering and Mathematical Sciences at Seoul National University. My research interests lie in understanding modern machine learning systems through theoretical and optimization-based perspectives, with a particular focus on how data, training algorithms, and post-training procedures shape model behavior.

Publications

Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization

Chaewon Moon, Dongkuk Si, Chulhee Yun

ICLR 2026

Deep Model-Based Optimization of Jamming Effectiveness under Aircraft AESA Radar Operational Environments

Hanseul Cho, Baekrok Shin, Chaewon Moon, Sang-Geun Hong, U-Ju Byeon, Jin-Yong Sung, Chulhee Yun

J-KICS

The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets

Yujun Kim*, Chaewon Moon*, Chulhee Yun

NeurIPS 2025

ICML 2025 Workshop on High-dimensional Learning Dynamics (HiLD)

KAIA Outstanding Paper Award at KAIA Summer Conference 2025 (CKAIA 2025)

Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization

Chaewon Moon, Dongkuk Si, Chulhee Yun

ICLR 2026

Deep Model-Based Optimization of Jamming Effectiveness under Aircraft AESA Radar Operational Environments

Hanseul Cho, Baekrok Shin, Chaewon Moon, Sang-Geun Hong, U-Ju Byeon, Jin-Yong Sung, Chulhee Yun

J-KICS

The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets

Yujun Kim*, Chaewon Moon*, Chulhee Yun

NeurIPS 2025

Education

Korea Advanced Institute of Science and Technology (KAIST)

M.S. in Artificial IntelligenceSep. 2024 - Present

Seoul National University (SNU)

B.S. in Industrial Engineering and Mathematical Sciences Mar. 2019 - Feb. 2024

Experience

Optimization & Machine Learning Laboratory, KAIST AIOct. 2023 - Aug. 2024

Research Intern, advised by Prof. Chulhee Yun

GERAD, Polytechnique MontrealFeb. 2022 - Jul. 2022

Research Intern, advised by Prof. Brunilde Sansò

Big Data AI Center, Seoul National UniversityJun. 2021 - Aug. 2021

Research Intern, advised by Prof. Sungzoon Cho

Academic Services

Conference Reviewer NeurIPS 2026