Juho Lee
KAIST
H-index: 13
Asia-South Korea
Top articles of Juho Lee
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
The normal-generalised gamma-Pareto process: a novel pure-jump Lévy process with flexible tail and jump-activity properties | Bayesian Analysis | Fadhel Ayed Juho Lee François Caron | 2024/3 |
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks | Advances in Neural Information Processing Systems | Balhae Kim Hyungi Lee Juho Lee | 2024/2/13 |
Bayesian analysis of generalized hierarchical Indian buffet processes for within and across group sharing of latent features | arXiv preprint arXiv:2304.05244 | Lancelot Fitzgerald James Juho Lee Abhinav Pandey | 2023/4/11 |
A unified construction for series representations and finite approximations of completely random measures | Bernoulli | Juho Lee Xenia Miscouridou François Caron | 2023/8 |
Over-parameterised shallow neural networks with asymmetrical node scaling: global convergence guarantees and feature learning | arXiv preprint arXiv:2302.01002 | Francois Caron Fadhel Ayed Paul Jung Hoil Lee Juho Lee | 2023/2/2 |
Traversing between modes in function space for fast ensembling | EungGu Yun Hyungi Lee Giung Nam Juho Lee | 2023/7/3 | |
Probabilistic imputation for time-series classification with missing data | SeungHyun Kim Hyunsu Kim Eunggu Yun Hwangrae Lee Jaehun Lee | 2023/7/3 | |
Decoupled training for long-tailed classification with stochastic representations | arXiv preprint arXiv:2304.09426 | Giung Nam Sunguk Jang Juho Lee | 2023/4/19 |
Martingale Posterior Neural Processes | arXiv preprint arXiv:2304.09431 | Hyungi Lee Eunggu Yun Giung Nam Edwin Fong Juho Lee | 2023/4/19 |
Exploring the role of mean teachers in self-supervised masked auto-encoders | Youngwan Lee Jeffrey Ryan Willette Jonghee Kim Juho Lee Sung Ju Hwang | 2022/9/29 | |
A simple yet powerful deep active learning with snapshots ensembles | Seohyeon Jung Sanghyun Kim Juho Lee | 2022/9/29 | |
Set-based meta-interpolation for few-task meta-learning | Advances in Neural Information Processing Systems | Seanie Lee Bruno Andreis Kenji Kawaguchi Juho Lee Sung Ju Hwang | 2022/12/6 |
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation | Giung Nam Hyungi Lee Byeongho Heo Juho Lee | 2022/6/30 | |
On divergence measures for bayesian pseudocoresets | Advances in Neural Information Processing Systems | Balhae Kim Jungwon Choi Seanie Lee Yoonho Lee Jung-Woo Ha | 2022/12/6 |
Deep neural networks with dependent weights: Gaussian process mixture limit, heavy tails, sparsity and compressibility | Journal of Machine Learning Research | Hoil Lee Fadhel Ayed Paul Jung Juho Lee Hongseok Yang | 2023 |
Benefits of stochastic weight averaging in developing neural network radiation scheme for numerical weather prediction | Journal of Advances in Modeling Earth Systems | Hwan‐Jin Song Soonyoung Roh Juho Lee Giung Nam Eunggu Yun | 2022/10 |
Self-distillation for further pre-training of transformers | arXiv preprint arXiv:2210.02871 | Seanie Lee Minki Kang Juho Lee Sung Ju Hwang Kenji Kawaguchi | 2022/9/30 |
Setvae: Learning hierarchical composition for generative modeling of set-structured data | Jinwoo Kim Jaehoon Yoo Juho Lee Seunghoon Hong | 2021 | |
Hybrid generative-contrastive representation learning | arXiv preprint arXiv:2106.06162 | Saehoon Kim Sungwoong Kim Juho Lee | 2021/6/11 |
Diversity matters when learning from ensembles | Advances in neural information processing systems | Giung Nam Jongmin Yoon Yoonho Lee Juho Lee | 2021/12/6 |
Co-Authors
