Proximal method for geometry and texture image decomposition. - Luis M. Briceño-Arias; Patrick L. Combettes; Jean-Christophe Pesquet; Nelly Pustelnik (ICIP, 2010)

A Parallel Splitting Method for Coupled Monotone Inclusions. - Hédy Attouch; Luis M. Briceño-Arias; Patrick L. Combettes (SIAM J. Control. Optim., 2010)

Proximal Algorithms for Multicomponent Image Recovery Problems. - Luis M. Briceño-Arias; Patrick L. Combettes; Jean-Christophe Pesquet; Nelly Pustelnik (J. Math. Imaging Vis., 2011)

A Monotone+Skew Splitting Model for Composite Monotone Inclusions in Duality. - Luis M. Briceño-Arias; Patrick L. Combettes (SIAM J. Optim., 2011)

Forward-Partial Inverse-Forward Splitting for Solving Monotone Inclusions. - Luis M. Briceño-Arias (J. Optim. Theory Appl., 2015)

A strongly convergent primal-dual method for nonoverlapping domain decomposition. - Hédy Attouch; Luis M. Briceño-Arias; Patrick L. Combettes (Numerische Mathematik, 2016)

Optimal Continuous Pricing with Strategic Consumers. - Luis M. Briceño-Arias; José R. Correa; Andrés Perlroth (Manag. Sci., 2017)

Proximal Methods for Stationary Mean Field Games with Local Couplings. - Luis M. Briceño-Arias; Dante Kalise; Francisco J. Silva (SIAM J. Control. Optim., 2018)

Forward-Backward-Half Forward Algorithm for Solving Monotone Inclusions. - Luis M. Briceño-Arias; Damek Davis (SIAM J. Optim., 2018)

On dealing with measured disturbances in the modifier adaptation method for real-time optimization. - Daniel Navia; Antonio Puen; Paulina Quintanilla; Luis M. Briceño-Arias; Luis Bergh (Comput. Chem. Eng., 2019)

A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression. - Luis M. Briceño-Arias; Giovanni Chierchia; Emilie Chouzenoux; Jean-Christophe Pesquet (Comput. Optim. Appl., 2019)

A Projected Primal-Dual Method for Solving Constrained Monotone Inclusions. - Luis M. Briceño-Arias; Sergio López Rivera (J. Optim. Theory Appl., 2019)

Split-Douglas-Rachford Algorithm for Composite Monotone Inclusions and Split-ADMM. - Luis M. Briceño-Arias; Fernando Roldán (SIAM J. Optim., 2021)

Random Activations in Primal-Dual Splittings for Monotone Inclusions with a Priori Information. - Luis M. Briceño-Arias; Julio Deride; Cristian Vega (J. Optim. Theory Appl., 2022)

Four-Operator Splitting via a Forward-Backward-Half-Forward Algorithm with Line Search. - Luis M. Briceño-Arias; Fernando Roldán (J. Optim. Theory Appl., 2022)

Convergence Rate Comparison of Proximal Algorithms for Non-Smooth Convex Optimization With an Application to Texture Segmentation. - Luis M. Briceño-Arias; Nelly Pustelnik (IEEE Signal Process. Lett., 2022)

Resolvent of the parallel composition and the proximity operator of the infimal postcomposition. - Luis M. Briceño-Arias; Fernando Roldán (Optim. Lett., 2023)

Primal-dual splittings as fixed point iterations in the range of linear operators. - Luis M. Briceño-Arias; Fernando Roldán (J. Glob. Optim., 2023)

Theoretical and numerical comparison of first order algorithms for cocoercive equations and smooth convex optimization. - Luis M. Briceño-Arias; Nelly Pustelnik (Signal Process., 2023)

Enhanced Computation of the Proximity Operator for Perspective Functions. - Luis M. Briceño-Arias; Cristóbal Vivar-Vargas (J. Optim. Theory Appl., 2024)

A Perturbation Framework for Convex Minimization and Monotone Inclusion Problems with Nonlinear Compositions. - Luis M. Briceño-Arias; Patrick L. Combettes (Math. Oper. Res., 2024)

Proximity Operators of Perspective Functions with Nonlinear Scaling. - Luis M. Briceño-Arias; Patrick L. Combettes; Francisco J. Silva 001 (SIAM J. Optim., 2024)

Infimal post-composition approach for composite convex optimization applied to image restoration. - Luis M. Briceño-Arias; Nelly Pustelnik (Signal Process., 2024)

Restarted contractive operators to learn at equilibrium. - Leo Davy; Luis M. Briceño-Arias; Nelly Pustelnik (CoRR, 2025)