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02/20/2021
Nonlinear dimension reduction for surrogate modeling using gradient information
We introduce a method for the nonlinear dimension reduction of a high-di...
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03/18/2020
Data-Driven Forward Discretizations for Bayesian Inversion
This paper suggests a framework for the learning of discretizations of e...
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05/31/2019
Greedy inference with layers of lazy maps
We propose a framework for the greedy approximation of high-dimensional ...
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03/17/2017