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06/06/2023
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
Plug-and-Play (PnP) methods are efficient iterative algorithms for solvi...
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01/31/2023
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser
This paper presents a new convergent Plug-and-Play (PnP) algorithm. PnP ...
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10/13/2022
On the potential benefits of entropic regularization for smoothing Wasserstein estimators
This paper is focused on the study of entropic regularization in optimal...
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01/31/2022
Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization
Plug-and-Play (PnP) methods solve ill-posed inverse problems through ite...
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10/07/2021
Gradient Step Denoiser for convergent Plug-and-Play
Plug-and-Play methods constitute a class of iterative algorithms for ima...
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02/10/2021
On the Existence of Optimal Transport Gradient for Learning Generative Models
The use of optimal transport cost for learning generative models has bec...
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09/18/2020
The basins of attraction of the global minimizers of non-convex inverse problems with low-dimensional models in infinite dimension
Non-convex methods for linear inverse problems with low-dimensional mode...
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12/03/2019
