Nikolaj Takata Mücke

According to our database, Nikolaj Takata Mücke authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Learning for Real-Time Inverse Problems and Data Assimilation with Uncertainty Quantification for Digital Twins.

Nikolaj Takata Mücke

PhD thesis, 2024

The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification.

Nikolaj Takata Mücke, Sander M. Bohté, Cornelis W. Oosterlee

CoRR, 2024

2023

Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications.

Nikolaj Takata Mücke, Benjamin Sanderse, Sander M. Bohté, Cornelis W. Oosterlee

Comput. Math. Appl., October, 2023

A Probabilistic Digital Twin for Leak Localization in Water Distribution Networks Using Generative Deep Learning.

Nikolaj Takata Mücke, Prerna Pandey, Shashi Jain, Sander M. Bohté, Cornelis W. Oosterlee

Sensors, July, 2023

2021

Reduced order modeling for parameterized time-dependent PDEs using spatially and memory aware deep learning.

Nikolaj Takata Mücke, Sander M. Bohté, Cornelis W. Oosterlee

J. Comput. Sci., 2021

2019

Reduced Order Modeling for Nonlinear PDE-constrained Optimization using Neural Networks.

Nikolaj Takata Mücke, Lasse Hjuler Christiansen, Allan Peter Engsig-Karup, John Bagterp Jørgensen

Proceedings of the 58th IEEE Conference on Decision and Control, 2019