| Improved training of physics-informed neural networks with model ensembles K Haitsiukevich, A Ilin 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 27 | 2023 |
| Learning trajectories of hamiltonian systems with neural networks K Haitsiukevich, A Ilin International Conference on Artificial Neural Networks, 562-573, 2022 | 2 | 2022 |
| A Grid-Structured Model of Tubular Reactors K Haitsiukevich, S Bergman, C de Araujo Filho, F Corona, A Ilin 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), 1-6, 2021 | 2 | 2021 |
| Diffusion models as probabilistic neural operators for recovering unobserved states of dynamical systems K Haitsiukevich, O Poyraz, P Marttinen, A Ilin arXiv preprint arXiv:2405.07097, 2024 | 1 | 2024 |
| In-Context Symbolic Regression: Leveraging Language Models for Function Discovery M Merler, N Dainese, K Haitsiukevich arXiv preprint arXiv:2404.19094, 2024 | 1 | 2024 |
| In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery M Merler, K Haitsiukevich, N Dainese, P Marttinen Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | | 2024 |
Alexander IlinAalto University在 aalto.fi 的电子邮件经过验证
