A quasi-Monte Carlo method for optimal control under uncertainty PA Guth, V Kaarnioja, FY Kuo, C Schillings, IH Sloan SIAM/ASA Journal on Uncertainty Quantification 9 (2), 354-383, 2021 | 37 | 2021 |
14 Ensemble Kalman filter for neural network-based one-shot inversion PA Guth, C Schillings, S Weissmann Optimization and Control for Partial Differential Equations: Uncertainty …, 2022 | 18 | 2022 |
Parabolic PDE-constrained optimal control under uncertainty with entropic risk measure using quasi-Monte Carlo integration PA Guth, V Kaarnioja, FY Kuo, C Schillings, IH Sloan Numerische Mathematik 156 (2), 565-608, 2024 | 15 | 2024 |
A quasi-Monte Carlo method for an optimal control problem under uncertainty PA Guth, V Kaarnioja, FY Kuo, C Schillings, IH Sloan arXiv preprint arXiv:1910.10022, 2019 | 10 | 2019 |
Generalized dimension truncation error analysis for high-dimensional numerical integration: lognormal setting and beyond PA Guth, V Kaarnioja SIAM Journal on Numerical Analysis 62 (2), 872-892, 2024 | 4 | 2024 |
Multilevel quasi-Monte Carlo for optimization under uncertainty PA Guth, A Van Barel Numerische Mathematik 154 (3-4), 443-484, 2023 | 4 | 2023 |
Ensemble Feedback Stabilization of Linear Systems PA Guth, K Kunisch, SS Rodrigues arXiv preprint arXiv:2306.01079, 2023 | 2 | 2023 |
One-shot Learning of Surrogates in PDE-constrained Optimization Under Uncertainty PA Guth, C Schillings, S Weissmann arXiv preprint arXiv:2112.11126, 2021 | 2 | 2021 |
Tracking optimal feedback control under uncertain parameters PA Guth, K Kunisch, SS Rodrigues Physica D: Nonlinear Phenomena, 134245, 2024 | | 2024 |
Application of dimension truncation error analysis to high-dimensional function approximation To appear in: 2022. Springer Verlag, 2024. PA Guth, V Kaarnioja Springer Verlag, 2024 | | 2024 |
Stabilization of uncertain linear dynamics: an offline-online strategy PA Guth, K Kunisch, SS Rodrigues arXiv preprint arXiv:2307.14090, 2023 | | 2023 |
Application of dimension truncation error analysis to high-dimensional function approximation in uncertainty quantification PA Guth, V Kaarnioja arXiv preprint arXiv:2301.13693, 2023 | | 2023 |