Nikolaj T. Mücke | DeepAI

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Cornelis W. Oosterlee
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research

∙ 11/24/2021

Markov Chain Generative Adversarial Neural Networks for Solving Bayesian Inverse Problems in Physics Applications

In the context of solving inverse problems for physics applications with...

0 Nikolaj T. Mücke, et al. ∙

research

∙ 11/23/2020

Reduced Order Modeling for Parameterized Time-Dependent PDEs using Spatially and Memory Aware Deep Learning

We present a novel reduced order model (ROM) approach for parameterized ...

0 Nikolaj T. Mücke, et al. ∙