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08/31/2023
Solving Poisson Problems in Polygonal Domains with Singularity Enriched Physics Informed Neural Networks
Physics informed neural networks (PINNs) represent a very powerful class...
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08/28/2023
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems
Denoising diffusion models have emerged as the go-to framework for solvi...
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02/20/2023
Fast and Painless Image Reconstruction in Deep Image Prior Subspaces
The deep image prior (DIP) is a state-of-the-art unsupervised approach f...
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12/30/2019
A Parameter Choice Rule for Tikhonov Regularization Based on Predictive Risk
In this work, we propose a new criterion for choosing the regularization...
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03/03/2014
