| 2025 | ICLR | Dimension Agnostic Neural Processes. | Hyungi Lee, Chaeyun Jang, Dongbok Lee, Juho Lee |
| 2025 | ICLR | Variational Bayesian Pseudo-Coreset. | Hyungi Lee, Seungyoo Lee, Juho Lee |
| 2025 | ICLR | Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series. | Byoungwoo Park, Hyungi Lee, Juho Lee |
| 2024 | ICLR | Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning. | Moonseok Choi, Hyungi Lee, Giung Nam, Juho Lee |
| 2024 | ICLR | Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling. | Hyungi Lee, Giung Nam, Edwin Fong, Juho Lee |
| 2023 | ICLR | Martingale Posterior Neural Processes. | Hyungi Lee, Eunggu Yun, Giung Nam, Edwin Fong, Juho Lee |
| 2023 | ICML | Regularizing Towards Soft Equivariance Under Mixed Symmetries. | Hyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee |
| 2023 | ICML | Traversing Between Modes in Function Space for Fast Ensembling. | Eunggu Yun, Hyungi Lee, Giung Nam, Juho Lee |
| 2022 | ICLR | Scale Mixtures of Neural Network Gaussian Processes. | Hyungi Lee, Eunggu Yun, Hongseok Yang, Juho Lee |
| 2022 | ICML | Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation. | Giung Nam, Hyungi Lee, Byeongho Heo, Juho Lee |