| Implicit Kernel Attention K Song, Y Jung, D Kim, IC Moon AAAI, 9713-9721, 2021 | 14 | 2021 |
| Energy storage control based on user clustering and battery capacity allocation H Ryu, Y Jung, J Park 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 6 | 2017 |
| Scalable inference for hybrid Bayesian hidden Markov model using Gaussian process emission Y Jung, J Park Journal of Computational and Graphical Statistics 31 (3), 666-683, 2022 | 5 | 2022 |
| Efficient approximate inference for stationary kernel on frequency domain Y Jung, K Song, J Park International Conference on Machine Learning, 10502-10538, 2022 | 4 | 2022 |
| Approximate Inference for Spectral Mixture Kernel Y Jung, K Song, J Park arXiv preprint arXiv:2006.07036, 2020 | 3 | 2020 |
| Scalable hybrid hmm with gaussian process emission for sequential time-series data clustering Y Jung, J Park arXiv preprint arXiv:2001.01917, 2020 | 2 | 2020 |
| Flat Posterior Does Matter For Bayesian Model Averaging S Lim, J Yeom, S Kim, H Byun, J Kang, Y Jung, J Jung, K Song arXiv preprint arXiv:2406.15664, 2024 | | 2024 |
| Improved Function Space Variational Inference with Informative Priors Y Jung, J Lee | | 2023 |
| Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior Y Jung, J Park International Conference on Artificial Intelligence and Statistics, 3795-3824, 2023 | | 2023 |
| Scalable Hybrid Hidden Markov Model with Gaussian Process Emission for Sequential Time-series Observations Y Jung, J Park 3rd Symposium on Advances in Approximate Bayesian Inference, 2020, 2020 | | 2020 |
| Spectral Mixture Kernel Approximation Using Reparameterized Random Fourier Feature Y Jung, J Park 2nd Symposium on Advances in Approximate Bayesian Inference, 2019, 2019 | | 2019 |
Jinkyoo ParkDepartment of Industrial and Systems Engineering, KAISTVerified email at kaist.ac.kr
