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08/19/2023
Dynamic Bilevel Learning with Inexact Line Search
In various domains within imaging and data science, particularly when ad...
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07/18/2023
Convergent regularization in inverse problems and linear plug-and-play denoisers
Plug-and-play (PnP) denoising is a popular iterative framework for solvi...
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04/17/2023
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems
Bayesian methods for solving inverse problems are a powerful alternative...
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03/20/2023
Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers
The spatial resolution of images of living samples obtained by fluoresce...
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03/09/2023
Provably Convergent Plug-and-Play Quasi-Newton Methods
Plug-and-Play (PnP) methods are a class of efficient iterative methods t...
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02/24/2023
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI
4D flow MRI is a non-invasive imaging method that can measure blood flow...
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08/31/2022
Accelerating Deep Unrolling Networks via Dimensionality Reduction
In this work we propose a new paradigm for designing efficient deep unro...
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08/18/2022
Tree species classification from hyperspectral data using graph-regularized neural networks
Manual labeling of tree species remains a challenging task, especially i...
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06/11/2022
Learned reconstruction with convergence guarantees
In recent years, deep learning has achieved remarkable empirical success...
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10/24/2021
Learning convex regularizers satisfying the variational source condition for inverse problems
Variational regularization has remained one of the most successful appro...
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10/07/2021
StyleGAN-induced data-driven regularization for inverse problems
Recent advances in generative adversarial networks (GANs) have opened up...
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06/07/2021
End-to-end reconstruction meets data-driven regularization for inverse problems
We propose an unsupervised approach for learning end-to-end reconstructi...
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03/30/2021
Adversarially learned iterative reconstruction for imaging inverse problems
In numerous practical applications, especially in medical image reconstr...
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08/06/2020
Learned convex regularizers for inverse problems
We consider the variational reconstruction framework for inverse problem...
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10/02/2018
Quantization-Aware Phase Retrieval
We address the problem of phase retrieval (PR) from quantized measuremen...
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08/26/2014
ℓ_1-K-SVD: A Robust Dictionary Learning Algorithm With Simultaneous Update
We develop a dictionary learning algorithm by minimizing the ℓ_1 distort...
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03/19/2014
