Hyungi Lee

30 papers A* 12Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Parallel Test-Time Scaling with Multi-Sequence Verifiers.
CoRR
Yegon Kim, Seungyoo Lee, Chaeyun Jang, Hyungi Lee, Juho Lee
2025 A* conf
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series.
ICLR
Byoungwoo Park, Hyungi Lee, Juho Lee
2025 J jnl
Compact Memory for Continual Logistic Regression.
CoRR
Yohan Jung, Hyungi Lee, Wenlong Chen, Thomas Möllenhoff, Yingzhen Li, Juho Lee, Mohammad Emtiyaz Khan
2025 A* conf
Dimension Agnostic Neural Processes.
ICLR
Hyungi Lee, Chaeyun Jang, Dongbok Lee, Juho Lee
2025 J jnl
Dimension Agnostic Neural Processes.
CoRR
Hyungi Lee, Chaeyun Jang, Dongbok Lee, Juho Lee
2025 A* conf
Variational Bayesian Pseudo-Coreset.
ICLR
Hyungi Lee, Seungyoo Lee, Juho Lee
2025 J jnl
Variational Bayesian Pseudo-Coreset.
CoRR
Hyungi Lee, Seungyoo Lee, Juho Lee
2025 J jnl
Verbalized Confidence Triggers Self-Verification: Emergent Behavior Without Explicit Reasoning Supervision.
CoRR
Chaeyun Jang, Moonseok Choi, Yegon Kim, Hyungi Lee, Juho Lee
2024 J jnl
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series.
CoRR
Byoungwoo Park, Hyungi Lee, Juho Lee
2024 J jnl
Calibrated Decision-Making through LLM-Assisted Retrieval.
CoRR
Chaeyun Jang, Hyungi Lee, Seanie Lee, 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 J jnl
Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain.
CoRR
Jungwon Choi, Hyungi Lee, Byung-Hoon Kim, Juho Lee
2024 A* conf
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning.
NeurIPS
Chaeyun Jang, Hyungi Lee, Jungtaek Kim, Juho Lee
2024 J jnl
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning.
CoRR
Chaeyun Jang, Hyungi Lee, Jungtaek Kim, 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
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks.
NeurIPS
Balhae Kim, Hyungi Lee, Juho Lee
2023 J jnl
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks.
CoRR
Balhae Kim, Hyungi Lee, 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 A* conf
Regularizing Towards Soft Equivariance Under Mixed Symmetries.
ICML
Hyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee
2023 J jnl
Regularizing Towards Soft Equivariance Under Mixed Symmetries.
CoRR
Hyunsu Kim, Hyungi Lee, Hongseok Yang, 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
2022 A* conf
Scale Mixtures of Neural Network Gaussian Processes.
ICLR
Hyungi Lee, EungGu Yun, Hongseok Yang, Juho Lee
2021 J jnl
Scale Mixtures of Neural Network Gaussian Processes.
CoRR
Hyungi Lee, EungGu Yun, Hongseok Yang, Juho Lee
2015 — conf
Optimum Configuration of Helical Piles with Material Cost Minimized by Harmony Search Algorithm.
ICHSA
Kyunguk Na, Dongseop Lee, Hyungi Lee, Kyoungsik Jung, Hangseok Choi