Tuomo Valkonen

According to our database, Tuomo Valkonen authored at least 35 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Prediction Techniques for Dynamic Imaging with Online Primal-Dual Methods.

Neil D. Dizon, Jyrki Jauhiainen, Tuomo Valkonen

J. Math. Imaging Vis., December, 2024

A nonsmooth primal-dual method with interwoven PDE constraint solver.

Bjørn Jensen, Tuomo Valkonen

Comput. Optim. Appl., September, 2024

Linearly convergent bilevel optimization with single-step inner methods.

Ensio Suonperä, Tuomo Valkonen

Comput. Optim. Appl., March, 2024

2022

Contact Adapting Electrode Model for Electrical Impedance Tomography.

Jérémi Dardé, Nuutti Hyvönen, Topi Kuutela, Tuomo Valkonen

SIAM J. Appl. Math., 2022

Proximal methods for point source localisation.

Tuomo Valkonen

CoRR, 2022

A nonsmooth primal-dual method with simultaneous adaptive PDE constraint solver.

Bjørn Jensen, Tuomo Valkonen

CoRR, 2022

2021

Predictive Online Optimisation with Applications to Optical Flow.

Tuomo Valkonen

J. Math. Imaging Vis., 2021

Electrodeless electrode model for electrical impedance tomography.

Jérémi Dardé, Nuutti Hyvönen, Topi Kuutela, Tuomo Valkonen

CoRR, 2021

Nonplanar sensing skins for structural health monitoring based on electrical resistance tomography.

Jyrki Jauhiainen, Mohammad Pour-Ghaz, Tuomo Valkonen, Aku Seppänen

Comput. Aided Civ. Infrastructure Eng., 2021

2020

Inertial, Corrected, Primal-Dual Proximal Splitting.

Tuomo Valkonen

SIAM J. Optim., 2020

Relaxed Gauss-Newton Methods with Applications to Electrical Impedance Tomography.

Jyrki Jauhiainen, Petri Kuusela, Aku Seppänen, Tuomo Valkonen

SIAM J. Imaging Sci., 2020

Non-planar sensing skins for structural health monitoring based on electrical resistance tomography.

Jyrki Jauhiainen, Mohammad Pour-Ghaz, Tuomo Valkonen, Aku Seppänen

CoRR, 2020

Inverse problems with second-order Total Generalized Variation constraints.

Kristian Bredies, Tuomo Valkonen

CoRR, 2020

2019

Acceleration and Global Convergence of a First-Order Primal-Dual Method for Nonconvex Problems.

Christian Clason, Stanislav Mazurenko, Tuomo Valkonen

SIAM J. Optim., 2019

Primal-dual block-proximal splitting for a class of non-convex problems.

Stanislav Mazurenko, Jyrki Jauhiainen, Tuomo Valkonen

CoRR, 2019

2017

Primal-Dual Extragradient Methods for Nonlinear Nonsmooth PDE-Constrained Optimization.

Christian Clason, Tuomo Valkonen

SIAM J. Optim., 2017

Acceleration of the PDHGM on Partially Strongly Convex Functions.

Tuomo Valkonen, Thomas Pock

J. Math. Imaging Vis., 2017

Bilevel Parameter Learning for Higher-Order Total Variation Regularisation Models.

Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen

J. Math. Imaging Vis., 2017

2016

Diffusion Tensor Imaging with Deterministic Error Bounds.

Artur Gorokh, Yury Korolev, Tuomo Valkonen

J. Math. Imaging Vis., 2016

Block-proximal methods with spatially adapted acceleration.

Tuomo Valkonen

CoRR, 2016

2015

The Jump Set under Geometric Regularization. Part 1: Basic Technique and First-Order Denoising.

Tuomo Valkonen

SIAM J. Math. Anal., 2015

Limiting Aspects of Nonconvex TV^φ Models.

Michael Hintermüller, Tuomo Valkonen, Tao Wu

SIAM J. Imaging Sci., 2015

Acceleration of the PDHGM on strongly convex subspaces.

Tuomo Valkonen, Thomas Pock

CoRR, 2015

The structure of optimal parameters for image restoration problems.

Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen

CoRR, 2015

Bilevel approaches for learning of variational imaging models.

Luca Calatroni, Cao Chung, Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen

CoRR, 2015

Asymptotic Behaviour of Total Generalised Variation.

Konstantinos Papafitsoros, Tuomo Valkonen

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Preconditioned ADMM with Nonlinear Operator Constraint.

Martin Benning, Florian Knoll, Carola-Bibiane Schönlieb, Tuomo Valkonen

Proceedings of the System Modeling and Optimization - 27th IFIP TC 7 Conference, CSMO 2015, 2015

2014

Imaging with Kantorovich-Rubinstein Discrepancy.

Jan Lellmann, Dirk A. Lorenz, Carola-Bibiane Schönlieb, Tuomo Valkonen

SIAM J. Imaging Sci., 2014

The jump set under geometric regularisation. Part 2: Higher-order approaches.

Tuomo Valkonen

CoRR, 2014

The jump set under geometric regularisation. Part 1: Basic technique and first-order denoising.

Tuomo Valkonen

CoRR, 2014

2013

Total Generalized Variation in Diffusion Tensor Imaging.

Tuomo Valkonen, Kristian Bredies, Florian Knoll

SIAM J. Imaging Sci., 2013

GPU-accelererated regularisation of large diffusion-tensor volumes.

Tuomo Valkonen, Manfred Liebmann

Computing, 2013

2010

Clustering and the perturbed spatial median.

Tuomo Valkonen, Tommi Kärkkäinen

Math. Comput. Model., 2010

Refined optimality conditions for differences of convex functions.

Tuomo Valkonen

J. Glob. Optim., 2010

2008

Non-smooth SOR for <i>L</i> ¹-Fitting: Convergence Study and Discussion of Related Issues.

Roland Glowinski, Tommi Kärkkäinen, Tuomo Valkonen, Andriy Ivannikov

J. Sci. Comput., 2008