Jihun Yun

According to our database, Jihun Yun authored at least 17 papers between 2019 and 2026.

Collaborative distances:

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

2026

Pruning and Distilling Mixture-of-Experts into Dense Language Models.

Junhyuck Kim, Jihun Yun, Haechan Kim, Gyeongman Kim, Joonghyun Bae, Jaewoong Cho

CoRR, May, 2026

Raon-Speech Technical Report.

Beomsoo Kim, Changho Choi, Dohyun Kim, Dongki Lee, Ethan Ewer, Eunchong Kim, Gyeongman Kim, Haechan Kim, Hyeonghwan Kim, Inkyu Park, Jihun Yun, Jihwan Moon, Jiyun Kim, Joonghyun Bae, Junhyuck Kim, Minkyu Kim, Sehun Lee, Seungjun Chung, Sungwoo Cho, Dongmin Park, Dongwon Kim, Hara Kang, Jonghyun Lee, Keon Lee, Kangwook Lee, Jaewoong Cho

CoRR, May, 2026

AMUSE: Anytime Muon with Stable Gradient Evaluation.

Jueun Kim, Baekrok Shin, Jihun Yun, Beomhan Baek, Minhak Song, Chulhee Yun

CoRR, May, 2026

Uniform Spectral Growth and Convergence of Muon in LoRA-Style Matrix Factorization.

Changmin Kang, Jihun Yun, Baekrok Shin, Yeseul Cho, Chulhee Yun

CoRR, February, 2026

THINKSAFE: Self-Generated Safety Alignment for Reasoning Models.

Seanie Lee, Sangwoo Park, Yumin Choi, Gyeongman Kim, Minki Kang, Jihun Yun, Dongmin Park, Jongho Park, Sung Ju Hwang

CoRR, January, 2026

Coverage Improvement and Fast Convergence of On-policy Preference Learning.

Juno Kim, Jihun Yun, Jason D. Lee, Kwang-Sung Jun

CoRR, January, 2026

2025

Alignment as Distribution Learning: Your Preference Model is Explicitly a Language Model.

Jihun Yun, Juno Kim, Jongho Park, Junhyuck Kim, Jongha Jon Ryu, Jaewoong Cho, Kwang-Sung Jun

CoRR, June, 2025

Unraveling Zeroth-Order Optimization through the Lens of Low-Dimensional Structured Perturbations.

Sihwan Park, Jihun Yun, Sungyub Kim, Souvik Kundu, Eunho Yang

CoRR, January, 2025

LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding.

Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sungyub Kim, Eunho Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

TEDDY: Trimming Edges with Degree-based Discrimination Strategy.

Hyunjin Seo, Jihun Yun, Eunho Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds.

Jihun Yun, Eunho Yang

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

2022

AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning.

Jihun Yun, Aurélie C. Lozano, Eunho Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Adaptive Proximal Gradient Methods for Structured Neural Networks.

Jihun Yun, Aurélie C. Lozano, Eunho Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss.

Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang

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

2020

A General Family of Stochastic Proximal Gradient Methods for Deep Learning.

Jihun Yun, Aurélie C. Lozano, Eunho Yang

CoRR, 2020

2019

Stochastic Gradient Methods with Block Diagonal Matrix Adaptation.

Jihun Yun, Aurélie C. Lozano, Eunho Yang

CoRR, 2019

Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning.

Jihun Yun, Peng Zheng, Eunho Yang, Aurélie C. Lozano, Aleksandr Y. Aravkin

Proceedings of the 36th International Conference on Machine Learning, 2019