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Jonathan Wittmer

A New Look at the Ensemble Kalman Filter for Inverse Problems: Duality, Non-Asymptotic Analysis and Convergence Acceleration
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
Solving Bayesian Inverse Problems via Variational Autoencoders
Data-Informed Regularization For Inverse and Imaging Problems

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