| Exit: Extrapolation and interpolation-based neural controlled differential equations for time-series classification and forecasting SY Jhin, J Lee, M Jo, S Kook, J Jeon, J Hyeong, J Kim, N Park Proceedings of the ACM Web Conference 2022, 3102-3112, 2022 | 24 | 2022 |
| Attentive neural controlled differential equations for time-series classification and forecasting SY Jhin, H Shin, S Kim, S Hong, M Jo, S Park, N Park, S Lee, H Maeng, ... Knowledge and Information Systems 66 (3), 1885-1915, 2024 | 23 | 2024 |
| Lightmove: A lightweight next-poi recommendation fortaxicab rooftop advertising J Jeon, S Kang, M Jo, S Cho, N Park, S Kim, C Song Proceedings of the 30th ACM international conference on information …, 2021 | 19 | 2021 |
| Ace-node: Attentive co-evolving neural ordinary differential equations SY Jhin, M Jo, T Kong, J Jeon, N Park Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 10 | 2021 |
| TimeKit: A time-series forecasting-based upgrade kit for collaborative filtering S Hong, M Jo, S Kook, J Jung, H Wi, N Park, SB Cho 2022 IEEE International Conference on Big Data (Big Data), 565-574, 2022 | 7 | 2022 |
| Learnable path in neural controlled differential equations SY Jhin, M Jo, S Kook, N Park Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8014-8022, 2023 | 5 | 2023 |
| Lord: Lower-dimensional embedding of log-signature in neural rough differential equations J Lee, J Jeon, J Hyeong, J Kim, M Jo, K Seungji, N Park arXiv preprint arXiv:2204.08781, 2022 | 2 | 2022 |
| 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 |
| Apparatus and method for artificial intelligence neural network based on co-evolving neural ordinary differential equations NS Park, SY Jhin, MJ JO, TY Kong, JS Jeon US Patent App. 17/564,912, 2023 | 1 | 2023 |
| Hawkes process based on controlled differential equations M Jo, S Kook, N Park arXiv preprint arXiv:2305.07031, 2023 | 1 | 2023 |
| 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 | | |
