| Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport J Choi, J Choi, M Kang Advances in Neural Information Processing Systems, 2023 | 16 | 2023 |
| Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport J Choi, J Choi, M Kang International Conference on Machine Learning, 2024, 2024 | 8 | 2024 |
| Restoration based generative models J Choi, Y Park, M Kang Proceedings of the 39 th International Conference on Machine Learning, 2023 | 5 | 2023 |
| Robust out-of-distribution detection on deep probabilistic generative models J Choi, C Yoon, J Bae, M Kang arXiv preprint arXiv:2106.07903, 2021 | 5 | 2021 |
| Analyzing and Improving Optimal-Transport-based Adversarial Networks J Choi, J Choi, M Kang International Conference on Learning Representations, 2023 | 3 | 2023 |
| Learning pde solution operator for continuous modeling of time-series Y Park, J Choi, C Yoon, M Kang arXiv preprint arXiv:2302.00854, 2023 | 3 | 2023 |
| Robust barycenter estimation using semi-unbalanced neural optimal transport M Gazdieva, J Choi, A Kolesov, J Choi, P Mokrov, A Korotin arXiv preprint arXiv:2410.03974, 2024 | 1 | 2024 |
| Unsupervised Point Cloud Completion through Unbalanced Optimal Transport T Lee, J Choi, J Choi, M Kang arXiv preprint arXiv:2410.02671, 2024 | 1 | 2024 |
| Scalable Simulation-free Entropic Unbalanced Optimal Transport J Choi, J Choi arXiv preprint arXiv:2410.02656, 2024 | 1 | 2024 |
| Improving neural optimal transport via displacement interpolation J Choi, Y Chen, J Choi arXiv preprint arXiv:2410.03783, 2024 | 1 | 2024 |
| Overcoming Fake Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan J Choi, J Choi, D Kwon arXiv preprint arXiv:2502.04583, 2025 | | 2025 |
Jaewoong ChoiSungkyunkwan UniversityВерификована је имејл адреса на skku.edu