Yun, Jihun

7 publications

ICLR 2025 LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sung-Yub Kim, Eunho Yang

ICLR 2024 TEDDY: Trimming Edges with Degree-Based Discrimination Strategy Hyunjin Seo, Jihun Yun, Eunho Yang

NeurIPS 2023 Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds Jihun Yun, Eunho Yang

AISTATS 2022 AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning Jihun Yun, Aurelie Lozano, Eunho Yang

NeurIPS 2021 Adaptive Proximal Gradient Methods for Structured Neural Networks Jihun Yun, Aurelie C. Lozano, Eunho Yang

ICCV 2021 Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang

ICML 2019 Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning Jihun Yun, Peng Zheng, Eunho Yang, Aurelie Lozano, Aleksandr Aravkin