Lee, Sungyoon

8 publications

NeurIPS 2025 How Classifier Features Transfer to Downstream: An Asymptotic Analysis in a Two-Layer Model Hee Bin Yoo, Sungyoon Lee, Cheongjae Jang, Dong-Sig Han, Jaein Kim, Seunghyeon Lim, Byoung-Tak Zhang

ICLR 2025 Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator Under General Assumptions on Regression Errors Sungyoon Lee, Sokbae Lee

NeurIPS 2025 Prior Forgetting and In-Context Overfitting Sungyoon Lee

ICLR 2023 A New Characterization of the Edge of Stability Based on a Sharpness Measure Aware of Batch Gradient Distribution Sungyoon Lee, Cheongjae Jang

ICML 2023 Implicit Jacobian Regularization Weighted with Impurity of Probability Output Sungyoon Lee, Jinseong Park, Jaewook Lee

NeurIPS 2022 A Reparametrization-Invariant Sharpness Measure Based on Information Geometry Cheongjae Jang, Sungyoon Lee, Frank Park, Yung-Kyun Noh

NeurIPS 2021 Towards Better Understanding of Training Certifiably Robust Models Against Adversarial Examples Sungyoon Lee, Woojin Lee, Jinseong Park, Jaewook Lee

NeurIPS 2020 Lipschitz-Certifiable Training with a Tight Outer Bound Sungyoon Lee, Jaewook Lee, Saerom Park