Giung Nam

22 papers A* 11Journal 11
YearRankTypeTitle / Venue / Authors
2025 A* conf
Ensemble Distribution Distillation via Flow Matching.
ICML
Jonggeon Park, Giung Nam, Hyunsu Kim, Jongmin Yoon, Juho Lee
2025 J jnl
Improving Constrained Generation in Language Models via Self-Distilled Twisted Sequential Monte Carlo.
CoRR
SooYeon Kim, Giung Nam, Juho Lee
2025 A* conf
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo.
ICLR
Hyunsu Kim, Giung Nam, Chulhee Yun, Hongseok Yang, Juho Lee
2025 J jnl
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo.
CoRR
Hyunsu Kim, Giung Nam, Chulhee Yun, Hongseok Yang, Juho Lee
2024 A* conf
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling.
ICLR
Hyungi Lee, Giung Nam, Edwin Fong, Juho Lee
2024 J jnl
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling.
CoRR
Hyungi Lee, Giung Nam, Edwin Fong, Juho Lee
2024 A* conf
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems.
NeurIPS
Giung Nam, Juho Lee
2024 J jnl
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems.
CoRR
Giung Nam, Juho Lee
2024 A* conf
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance.
ICLR
Giung Nam, Byeongho Heo, Juho Lee
2024 J jnl
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance.
CoRR
Giung Nam, Byeongho Heo, Juho Lee
2024 A* conf
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning.
ICLR
Moonseok Choi, Hyungi Lee, Giung Nam, Juho Lee
2023 A* conf
Decoupled Training for Long-Tailed Classification With Stochastic Representations.
ICLR
Giung Nam, Sunguk Jang, Juho Lee
2023 J jnl
Decoupled Training for Long-Tailed Classification With Stochastic Representations.
CoRR
Giung Nam, Sunguk Jang, Juho Lee
2023 A* conf
Martingale Posterior Neural Processes.
ICLR
Hyungi Lee, EungGu Yun, Giung Nam, Edwin Fong, Juho Lee
2023 J jnl
Martingale Posterior Neural Processes.
CoRR
Hyungi Lee, EungGu Yun, Giung Nam, Edwin Fong, Juho Lee
2023 J jnl
SWAMP: Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning.
CoRR
Moonseok Choi, Hyungi Lee, Giung Nam, Juho Lee
2023 A* conf
Traversing Between Modes in Function Space for Fast Ensembling.
ICML
EungGu Yun, Hyungi Lee, Giung Nam, Juho Lee
2023 J jnl
Traversing Between Modes in Function Space for Fast Ensembling.
CoRR
EungGu Yun, Hyungi Lee, Giung Nam, Juho Lee
2022 A* conf
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation.
ICML
Giung Nam, Hyungi Lee, Byeongho Heo, Juho Lee
2022 J jnl
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation.
CoRR
Giung Nam, Hyungi Lee, Byeongho Heo, Juho Lee
2021 A* conf
Diversity Matters When Learning From Ensembles.
NeurIPS
Giung Nam, Jongmin Yoon, Yoonho Lee, Juho Lee
2021 J jnl
Diversity Matters When Learning From Ensembles.
CoRR
Giung Nam, Jongmin Yoon, Yoonho Lee, Juho Lee