Nikolaj Takata Mücke

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Inverse Problems

Water Distribution Networks

Top Venues

Comput. Math. Appl.

Publications

Nikolaj Takata Mücke, Sander M. Bohté, Cornelis W. Oosterlee
The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification. CoRR (2024)
Nikolaj Takata Mücke, Benjamin Sanderse, Sander M. Bohté, Cornelis W. Oosterlee
Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications. Comput. Math. Appl. 147 (2023)
Nikolaj Takata Mücke, Prerna Pandey, Shashi Jain, Sander M. Bohté, Cornelis W. Oosterlee
A Probabilistic Digital Twin for Leak Localization in Water Distribution Networks Using Generative Deep Learning. Sensors 23 (13) (2023)
Nikolaj Takata Mücke, Sander M. Bohté, Cornelis W. Oosterlee
Reduced order modeling for parameterized time-dependent PDEs using spatially and memory aware deep learning. J. Comput. Sci. 53 (2021)
Nikolaj Takata Mücke, Benjamin Sanderse, Sander M. Bohté, Cornelis W. Oosterlee
Markov Chain Generative Adversarial Neural Networks for Solving Bayesian Inverse Problems in Physics Applications. CoRR (2021)
Nikolaj Takata Mücke, Sander M. Bohté, Cornelis W. Oosterlee
Reduced Order Modeling for Parameterized Time-Dependent PDEs using Spatially and Memory Aware Deep Learning. CoRR (2020)
Nikolaj Takata Mücke, Lasse Hjuler Christiansen, Allan Peter Engsig-Karup, John Bagterp Jørgensen
Reduced Order Modeling for Nonlinear PDE-constrained Optimization using Neural Networks. CDC (2019)