| Learning flexible body collision dynamics with hierarchical contact mesh transformer YY Yu, J Choi, W Cho, K Lee, N Kim, K Chang, CS Woo, I Kim, SW Lee, ... arXiv preprint arXiv:2312.12467, 2023 | 4 | 2023 |
| Hypernetwork-based meta-learning for low-rank physics-informed neural networks W Cho, K Lee, D Rim, N Park Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Parameterized physics-informed neural networks for parameterized PDEs W Cho, M Jo, H Lim, K Lee, D Lee, S Hong, N Park arXiv preprint arXiv:2408.09446, 2024 | 1 | 2024 |
| Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations W Cho, S Cho, H Jin, J Jeon, K Lee, S Hong, D Lee, J Choi, N Park Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11543 …, 2024 | | 2024 |
| Promoting Sparsity in Continuous-time Neural Networks to Learn Dependence Structures F Wu, W Cho, D Korotky, S Hong, D Rim, N Park, K Lee | | |
| NeRT: Implicit Neural Representation for Time Series W Cho, M Jo, K Lee, N Park | | |
| Extension of Physics-informed Neural Networks to Solving Parameterized PDEs W Cho, M Jo, H Lim, K Lee, D Lee, S Hong, N Park ICLR 2024 Workshop on AI4DifferentialEquations In Science, 0 | | |
| When Neural ODEs meet Neural Operators W Cho, S Cho, H Jin, J Jeon, K Lee, S Hong, D Lee, J Choi, N Park | | |
Noseong ParkTenured Associate Professor, KAIST在 kaist.ac.kr 的电子邮件经过验证
