Kim, Sungyoon

5 publications

ICLR 2025 Exploring the Loss Landscape of Regularized Neural Networks via Convex Duality Sungyoon Kim, Aaron Mishkin, Mert Pilanci

TMLR 2025 Hard-Negative Prototype-Based Regularization for Few-Shot Class-Incremental Learning Seongbeom Park, Hyunju Yun, Daewon Chae, Sungyoon Kim, Suhong Moon, Minwoo Kang, Seunghyun Park, Jinkyu Kim

ICML 2024 Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time Sungyoon Kim, Mert Pilanci

AAAI 2024 Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL Sungyoon Kim, Yunseon Choi, Daiki E. Matsunaga, Kee-Eung Kim

ICML 2023 Information-Theoretic State Space Model for Multi-View Reinforcement Learning Hyeongjoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim