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Wittmer J

An autoencoder compression approach for accelerating large-scale inverse problems
On unifying randomized methods for inverse problems
DIAS: A Data-Informed Active Subspace Regularization Framework for Inverse Problems
Data-Informed Regularization for Inverse and Imaging Problems
Solving Bayesian Inverse Problems via Variational Autoencoders

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