Publications

Conferences

• Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
  Chaeyun Jang*, Hyungi Lee*, Jungtaek Kim, Juho Lee
  * Equal contribution
  NeurIPS 2024 (spotlight)(To appear)

• Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
  Hyungi Lee*, Giung Nam*, Edwin Fong, Juho Lee
  * Equal contribution
  ICLR 2024

• Sparse Weight Averaging with Multiple Particles for Iterative Magitude Pruning
  Moonseok Choi*, Hyungi Lee*, Giung Nam*, Juho Lee
  * Equal contribution
  ICLR 2024

• Function Space Bayesian Pseudocoreset for Bayesian Neural Networks
  Balhae Kim, Hyungi Lee, Juho Lee
  NeurIPS 2023

• Traversing Between Modes in Function Space for Fast Ensembling
  Eunggu Yun*, Hyungi Lee*, Giung Nam*, Juho Lee
  * Equal contribution
  ICML 2023

• Regularizing Towards Soft Equivariance Under Mixed Symmetries
  Hyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee
  ICML 2023

• Martingale Posterior Neural Processes
  Hyungi Lee, Eunggu Yun, Giung Nam, Edwin Fong, Juho Lee
  ICLR 2023 (spotlight)

• Improving ensemble distillation with weight averaging and diversifying perturbation
  Giung Nam, Hyungi Lee, Byeongho Heo, Juho Lee
  ICML 2022

• Scale Mixture of Neural Network Gaussian Processes
  Hyungi Lee, Eunggu Yun, Hongseok Yang, Juho Lee
  ICLR 2022

Workshop

• Efficient Modeling of Irregular Time-Series with Stochastic Optimal Control
  Byoungwoo Park*, Hyungi Lee*, Juho Lee
  *Equal contribution
  NeurIPS 2024 Workshop Bayesian Decision-making and Uncertainty

• Function Space Bayesian Pseudocoreset for Bayesian Neural Networks
  Balhae Kim, Hyungi Lee, Juho Lee
  ICML 2023 Workshop

• Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
  Chaeyun Jang, Jungtaek Kim, Hyungi Lee, Juho Lee
  The 3rd NeurIPS Workshop on Efficient Natural Language and Speech Processing (ENLSP)