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20122023
most citedBilevel parameter learning for higher-order total variation regularisation models

87 citations · 197 across the 13 of their papers we have counts for

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13 papers · 1 filter

math.OC2023

Analysis of Four-Dimensional Variational Data Assimilation Problems in Low Regularity Spaces

Paula Castro, Juan Carlos De los Reyes, Ira Neitzel

We carry out a rigorous analysis of four-dimensional variational data assimilation (-VAR) problems for linear and semilinear parabolic partial differential equations. Continuit…

math.OC2022

Optimal control of a nonsmooth PDE arising in the modeling of shear-thickening fluids

Juan Carlos De los Reyes, Paola Quiloango

This paper focuses on the analysis of an optimal control problem governed by a nonsmooth quasilinear partial differential equation that models a stationary incompressible shear-thi…

math.OC2021★ 1 cited

Bilevel Imaging Learning Problems as Mathematical Programs with Complementarity Constraints: Reformulation and Theory

Juan Carlos De los Reyes

We investigate a family of bilevel imaging learning problems where the lower-level instance corresponds to a convex variational model involving first- and second-order nonsmooth sp…

math.OC2019★ 31 cited

Bilevel parameter learning for nonlocal image denoising models

M. D'Elia, J. C. De los Reyes, A. Miniguano-Trujillo

We propose a bilevel optimization approach for the estimation of parameters in nonlocal image denoising models. The parameters we consider are both the fidelity weight and weights…

math.OC2016★ 1 cited

Infimal convolution of data discrepancies for mixed noise removal

Luca Calatroni, Juan Carlos De Los Reyes, Carola-Bibiane Schönlieb

We consider the problem of image denoising in the presence of noise whose statistical properties are a combination of two different distributions. We focus on noise distributions t…

math.OC2016★ 9 cited

Learning optimal spatially-dependent regularization parameters in total variation image restoration

C. Chung, J. C. De los Reyes, C. B. Schoenlieb

We consider a bilevel optimization approach in function space for the choice of spatially dependent regularization parameters in TV image restoration models. First- and second-orde…

math.OC2015★ 87 cited

Bilevel parameter learning for higher-order total variation regularisation models

J. C. De los Reyes, C. -B. Schönlieb, T. Valkonen

We consider a bilevel optimisation approach for parameter learning in higher-order total variation image reconstruction models. Apart from the least squares cost functional, natura…

math.OC2015

Bilevel approaches for learning of variational imaging models

Luca Calatroni, Cao Chung, Juan Carlos De Los Reyes +2

We review some recent learning approaches in variational imaging, based on bilevel optimisation, and emphasize the importance of their treatment in function space. The paper covers…

math.OC2015★ 60 cited

The structure of optimal parameters for image restoration problems

Juan Carlos De Los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen

We study the qualitative properties of optimal regularisation parameters in variational models for image restoration. The parameters are solutions of bilevel optimisation problems…

math.OC2014

Second-order orthant-based methods with enriched Hessian information for sparse -optimization

J. C. De los Reyes, E. Loayza, P. Merino

We present a second order algorithm, based on orthantwise directions, for solving optimization problems involving the sparsity enhancing -norm. The main idea of our method…

math.OC2014

Strong stationarity conditions for a class of optimization problems governed by variational inequalities of the 2nd kind

Juan-Carlos De Los Reyes, Christian Meyer

We investigate optimality conditions for optimization problems constrained by a class of variational inequalities of the second kind. Based on a nonsmooth primal-dual reformulation…

math.OC2014★ 2 cited

Dynamic sampling schemes for optimal noise learning under multiple nonsmooth constraints

Luca Calatroni, Juan Carlos De Los Reyes, Carola-Bibiane Schönlieb

We consider the bilevel optimisation approach proposed by De Los Reyes, Schönlieb (2013) for learning the optimal parameters in a Total Variation (TV) denoising model featuring for…

math.OC2012★ 6 cited

Image denoising: learning noise distribution via PDE-constrained optimization

Juan-Carlos De los Reyes, Carola-Bibiane Schönlieb

We propose a PDE-constrained optimization approach for the determination of noise distribution in total variation (TV) image denoising. An optimization problem for the determinatio…