| DPM: A novel training method for physics-informed neural networks in extrapolation J Kim, K Lee, D Lee, SY Jhin, N Park Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8146-8154, 2021 | 86 | 2021 |
| 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 | 27 | 2024 |
| 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 | 27 | 2022 |
| 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 | 11 | 2021 |
| Precursor-of-anomaly detection for irregular time series SY Jhin, J Lee, N Park Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| 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 |
| Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization SY Jhin, S Kim, N Park Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 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 |
