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Lee, Hyungi
18 publications
ICLR
2025
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
Byoungwoo Park
,
Hyungi Lee
,
Juho Lee
NeurIPS
2025
Compact Memory for Continual Logistic Regression
Yohan Jung
,
Hyungi Lee
,
Wenlong Chen
,
Thomas Möllenhoff
,
Yingzhen Li
,
Juho Lee
,
Mohammad Emtiyaz Khan
ICLR
2025
Dimension Agnostic Neural Processes
Hyungi Lee
,
Chaeyun Jang
,
Dong Bok Lee
,
Juho Lee
NeurIPS
2025
PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs
Seungyoo Lee
,
Giung Nam
,
Moonseok Choi
,
Hyungi Lee
,
Juho Lee
NeurIPS
2025
Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation
Chaeyun Jang
,
Deukhwan Cho
,
Seanie Lee
,
Hyungi Lee
,
Juho Lee
NeurIPS
2025
Test Time Scaling for Neural Processes
Hyungi Lee
,
Moonseok Choi
,
Hyunsu Kim
,
Kyunghyun Cho
,
Rajesh Ranganath
,
Juho Lee
ICLR
2025
Variational Bayesian Pseudo-Coreset
Hyungi Lee
,
Seungyoo Lee
,
Juho Lee
NeurIPSW
2024
Efficient Modeling of Irregular Time-Series with Stochastic Optimal Control
Byoungwoo Park
,
Hyungi Lee
,
Juho Lee
ICLR
2024
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
Hyungi Lee
,
Giung Nam
,
Edwin Fong
,
Juho Lee
NeurIPS
2024
Model Fusion Through Bayesian Optimization in Language Model Fine-Tuning
Chaeyun Jang
,
Hyungi Lee
,
Jungtaek Kim
,
Juho Lee
ICLR
2024
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
Moonseok Choi
,
Hyungi Lee
,
Giung Nam
,
Juho Lee
NeurIPS
2023
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks
Balhae Kim
,
Hyungi Lee
,
Juho Lee
ICMLW
2023
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks
Balhae Kim
,
Hyungi Lee
,
Juho Lee
ICLR
2023
Martingale Posterior Neural Processes
Hyungi Lee
,
Eunggu Yun
,
Giung Nam
,
Edwin Fong
,
Juho Lee
ICML
2023
Regularizing Towards Soft Equivariance Under Mixed Symmetries
Hyunsu Kim
,
Hyungi Lee
,
Hongseok Yang
,
Juho Lee
ICML
2023
Traversing Between Modes in Function Space for Fast Ensembling
Eunggu Yun
,
Hyungi Lee
,
Giung Nam
,
Juho Lee
ICML
2022
Improving Ensemble Distillation with Weight Averaging and Diversifying Perturbation
Giung Nam
,
Hyungi Lee
,
Byeongho Heo
,
Juho Lee
ICLR
2022
Scale Mixtures of Neural Network Gaussian Processes
Hyungi Lee
,
Eunggu Yun
,
Hongseok Yang
,
Juho Lee