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03/16/2023
Hyper-Reduced Autoencoders for Efficient and Accurate Nonlinear Model Reductions
Projection-based model order reduction on nonlinear manifolds has been r...
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04/24/2022
Signal Recovery with Non-Expansive Generative Network Priors
We study compressive sensing with a deep generative network prior. Initi...
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03/08/2022
Regularized Training of Intermediate Layers for Generative Models for Inverse Problems
Generative Adversarial Networks (GANs) have been shown to be powerful an...
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06/14/2020
Nonasymptotic Guarantees for Low-Rank Matrix Recovery with Generative Priors
Many problems in statistics and machine learning require the reconstruct...
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06/14/2020