| Reduced order modeling for parameterized time-dependent PDEs using spatially and memory aware deep learning NT Mücke, SM Bohté, CW Oosterlee Journal of Computational Science 53, 101408, 2021 | 45 | 2021 |
| Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications NT Mücke, B Sanderse, SM Bohté, CW Oosterlee Computers & Mathematics with Applications 147, 278-299, 2023 | 7 | 2023 |
| Reduced Order Modeling for Nonlinear PDE-constrained Optimization using Neural Networks NT Mücke, LH Christiansen, AP Karup-Engsig, JB Jørgensen 2019 IEEE 58th Conference on Decision and Control (CDC), 2019 | 6 | 2019 |
| A probabilistic digital twin for leak localization in water distribution networks using generative deep learning NT Mücke, P Pandey, S Jain, SM Bohté, CW Oosterlee Sensors 23 (13), 6179, 2023 | 5 | 2023 |
| AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage GS Seabra, NT Mücke, VLS Silva, D Voskov, FC Vossepoel International Journal of Greenhouse Gas Control 136, 104190, 2024 | 3 | 2024 |
| Reduced Order Modelling for Dispersive and Nonlinear Water Wave Modelling FG Eroglu, NT Mücke, AP Engsig-Karup 37th International Workshop on Water Waves and Floating Bodies, 2022 | 2 | 2022 |
| Advancing Data Assimilation and Uncertainty Quantification for CO2 Sequestration through AI-Hybrid Methods GS Seabra, NT Mücke, VLS Silva, D Voskov, F Vossepoel ECMOR 2024 2024 (1), 1-23, 2024 | | 2024 |
| The deep latent space particle filter for real-time data assimilation with uncertainty quantification NT Mücke, SM Bohté, CW Oosterlee Scientific Reports 14 (1), 19447, 2024 | | 2024 |
| Deep Learning for Real-Time Inverse Problems and Data Assimilation with Uncertainty Quantification for Digital Twins NT Mücke Utrecht University, 2024 | | 2024 |
| Reduced Order Modelling for Wave-Structure Modelling FG Eroglu, NT Mücke, J Visbech, AP Engsig-Karup 22nd IACM Computational Fluids Conference, 2022 | | 2022 |
| Why use Deep Neural Networks? NT Mücke | | 2019 |
Sander BohteCWI Amsterdam在 cwi.nl 的电子邮件经过验证
