| Spectral neural operators VS Fanaskov, IV Oseledets Doklady Mathematics 108 (Suppl 2), S226-S232, 2023 | 70 | 2023 |
| Neural multigrid architectures V Fanaskov 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 7 | 2021 |
| Uncertainty calibration for probabilistic projection methods V Fanaskov Statistics and Computing 31 (5), 56, 2021 | 5 | 2021 |
| Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving A Rudikov, V Fanaskov, E Muravleva, YM Laevsky, I Oseledets arXiv preprint arXiv:2402.05598, 2024 | 3 | 2024 |
| Gaussian belief propagation solvers for nonsymmetric systems of linear equations V Fanaskov SIAM Journal on Scientific Computing 44 (1), A77-A102, 2022 | 3 | 2022 |
| Neural functional a posteriori error estimates V Fanaskov, A Rudikov, I Oseledets arXiv preprint arXiv:2402.05585, 2024 | 2 | 2024 |
| General covariance data augmentation for neural PDE solvers V Fanaskov, T Yu, A Rudikov, I Oseledets International Conference on Machine Learning, 9665-9688, 2023 | 2 | 2023 |
| Direct optimization of BPX preconditioners I Oseledets, V Fanaskov Journal of Computational and Applied Mathematics 402, 113811, 2022 | 1 | 2022 |
| Associative memory and dead neurons V Fanaskov, I Oseledets arXiv preprint arXiv:2410.13866, 2024 | | 2024 |
| Astral: training physics-informed neural networks with error majorants V Fanaskov, T Yu, A Rudikov, I Oseledets arXiv preprint arXiv:2406.02645, 2024 | | 2024 |
| STATISTICAL INFERENCE AND MACHINE LEARNING IN NUMERICAL LINEAR ALGEBRA V FANASKOV | | 2022 |
| General Covariance Data Augmentation for Neural PDE Solvers F Vladimir, T Yu, A Rudikov, I Oseledets | | |
Ivan OseledetsAIRI; Skolkovo Institute of Science and Technology在 skoltech.ru 的电子邮件经过验证
Ivan OseledetsAIRI; Skolkovo Institute of Science and Technology在 skoltech.ru 的电子邮件经过验证
Alexander RudikovAIRI; Skolkovo Institute of Science and Technology在 skoltech.ru 的电子邮件经过验证
Ekaterina MuravlevaSkoltech在 skoltech.ru 的电子邮件经过验证