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05/03/2022
Smooth over-parameterized solvers for non-smooth structured optimization
Non-smooth optimization is a core ingredient of many imaging or machine ...
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06/02/2021
Smooth Bilevel Programming for Sparse Regularization
Iteratively reweighted least square (IRLS) is a popular approach to solv...
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01/18/2021
Screening for Sparse Online Learning
Sparsity promoting regularizers are widely used to impose low-complexity...
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11/23/2020
An off-the-grid approach to multi-compartment magnetic resonance fingerprinting
We propose a novel numerical approach to separate multiple tissue compar...
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11/08/2019
Degrees of freedom for off-the-grid sparse estimation
A central question in modern machine learning and imaging sciences is to...
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02/14/2019
On instabilities of deep learning in image reconstruction - Does AI come at a cost?
Deep learning, due to its unprecedented success in tasks such as image c...
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10/08/2018
Support Localization and the Fisher Metric for off-the-grid Sparse Regularization
Sparse regularization is a central technique for both machine learning (...
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02/23/2018