J. A. Iglesias, R. Kimmel: Schrödinger Diffusion for Shape Analysis with Texture NORDIA'12. In ECCV 2012, Workshops and Demonstrations (Proceedings) http://arxiv.org/abs/1210.0880 2012 A. M. Bruckstein, J. A. Iglesias: On the Gamma-convergence of some polygonal curvature functionals Applicable Analysis 2015 I. A. Frigaard, J. A. Iglesias, G. Mercier, C. Pöschl, O. Scherzer: Critical yield numbers of rigid particles settling in Bingham fluids and Cheeger sets SIAM Journal on Applied Mathematics 2017 J. A. Iglesias, C. Kirisits: Convective regularization for optical flow Variational Methods in Imaging and Geometric Control (Proceedings) http://arxiv.org/abs/1505.04938 Vol. 18, p. 184-201, 2017 J. A. Iglesias, K. Sturm, F. Wechsung: Two-dimensional shape optimisation with nearly conformal transformations SIAM Journal on Scientific Computing 2018 J. A. Iglesias, G. Mercier, O. Scherzer: A note on convergence of solutions of total variation regularized linear inverse problems Inverse Problems 2018 J. A. Iglesias, M. Rumpf, O. Scherzer: Shape Aware Matching of Implicit Surfaces based on Thin Shell Energies Foundations of Computational Mathematics 2018 J. A. Iglesias, G. Mercier: Influence of dimension on the convergence of level-sets in total variation regularization ESAIM: Control, Optimisation and Calculus of Variations 2020 E. Chaparian, I. A. Frigaard, J. A. Iglesias, G. Mercier: Computing the Yield Limit in Three-dimensional Flows of a Yield Stress Fluid About a Settling Particle Journal of Non-Newtonian Fluid Mechanics 2020 J. A. Iglesias, G. Mercier, O. Scherzer: Critical yield numbers and limiting yield surfaces of particle arrays settling in a Bingham fluid Applied Mathematics & Optimization 2020 J. A. Iglesias: Symmetry and scaling limits for matching of implicit surfaces based on thin shell energies ESAIM: Mathematical Modelling and Numerical Analysis 2021 J. A. Iglesias, G. Mercier: Convergence of level sets in total variation denoising through variational curvatures in unbounded domains SIAM Journal on Mathematical Analysis 2021 J. A. Iglesias, G. Mercier: Convergence of level sets in fractional Laplacian regularization Inverse Problems 2022 J. A. Iglesias, D. Walter: Extremal points of total generalized variation balls in 1D: characterization and applications Journal of Convex Analysis 2022 J. A. Iglesias, S. Nakov: Weak formulations of the nonlinear Poisson-Boltzmann equation in biomolecular electrostatics Journal of Mathematical Analysis and Applications 2022 K. Bredies, J. A. Iglesias, G. Mercier: Boundedness and unboundedness in total variation regularization Applied Mathematics & Optimization 2023 G. Cristinelli, J. A. Iglesias, D. Walter: Conditional gradients for total variation regularization with PDE constraints: a graph cuts approach Computational Optimization and Applications 2023 M. Carioni, J. A. Iglesias, D. Walter: Extremal points and sparse optimization for generalized Kantorovich-Rubinstein norms Foundations of Computational Mathematics 2024 E. Davoli, R. Ferreira, I. Fonseca, J. A. Iglesias: Dyadic partition-based training schemes for TV/TGV denoising Journal of Mathematical Imaging and Vision 2024 H. Chen, G. Dong, J. A. Iglesias, W. Liu, Z. Xie: Second-order flows for approaching stationary points of a class of non-convex energies via convex-splitting schemes SIAM Journal on Scientific Computing Vol. 47, N. 3, p. A1604-A1627, 2024 F. Bartolucci, M. Carioni, J. A. Iglesias, Y. Korolev, E. Naldi, S. Vigogna: A Lipschitz spaces view of infinitely wide shallow neural networks SIAM Journal on Mathematical Analysis (Accepted Paper) http://arxiv.org/abs/2410.14591 2024 G. Cristinelli, J. A. Iglesias, D. Walter: Linear convergence of a one-cut conditional gradient method for total variation regularization (preprint) http://arxiv.org/abs/2504.16899 2025 K. Bredies, J. A. Iglesias, D. Walter: On extremal points for some vectorial total variation seminorms ESAIM: Control, Optimisation and Calculus of Variations Vol. 31, N. 92, 2025 R. Cristoferi, R. Ferreira, I. Fonseca, J. A. Iglesias: Monotonicity of the jump set and jump amplitudes in one-dimensional TV denoising Journal of Nonlinear Science Vol. 36, N. 13, 2025 S. Dummer, J. A. Iglesias, Tjeerd Jan Heeringa: Vector-Valued Reproducing Kernel Banach Spaces for Neural Networks and Operators (preprint) http://arxiv.org/abs/2509.26371 2025 M. Carioni, L. Del Grande, J. A. Iglesias, H. Schönberger: Nonlocal perimeters and variations: Extremality and decomposability for finite and infinite horizons Calculus of Variations and Partial Differential Equations 2026 G. Cristinelli, J. A. Iglesias: Towards sparse optimization over convex loops: Equivalence of Square Root Velocity distance and Wasserstein-Fisher-Rao (preprint) http://arxiv.org/abs/2603.22009 2026 C. Brune, J. A. Iglesias, J. Tengler: Manifold limit for the training of shallow graph convolutional neural networks (preprint) http://arxiv.org/abs/2601.06025 2026