Tuomo Valkonen

45 papers Journal 42Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Multigrid Methods for Total Variation. SSVM (2) Felipe Guerra, Tuomo Valkonen
2025	J	`jnl`	Multigrid methods for total variation. CoRR Felipe Guerra, Tuomo Valkonen
2024	J	`jnl`	A nonsmooth primal-dual method with interwoven PDE constraint solver. Comput. Optim. Appl. Bjørn Jensen, Tuomo Valkonen
2024	J	`jnl`	Differential estimates for fast first-order multilevel nonconvex optimisation. CoRR Neil D. Dizon, Tuomo Valkonen
2024	J	`jnl`	Linearly convergent bilevel optimization with single-step inner methods. Comput. Optim. Appl. Ensio Suonperä, Tuomo Valkonen
2024	J	`jnl`	Online optimisation for dynamic electrical impedance tomography. CoRR Neil D. Dizon, Jyrki Jauhiainen, Tuomo Valkonen
2024	J	`jnl`	Prediction Techniques for Dynamic Imaging with Online Primal-Dual Methods. J. Math. Imaging Vis. Neil D. Dizon, Jyrki Jauhiainen, Tuomo Valkonen
2024	J	`jnl`	Prediction techniques for dynamic imaging with online primal-dual methods. CoRR Neil D. Dizon, Jyrki Jauhiainen, Tuomo Valkonen
2022	J	`jnl`	A nonsmooth primal-dual method with simultaneous adaptive PDE constraint solver. CoRR Bjørn Jensen, Tuomo Valkonen
2022	J	`jnl`	Contact Adapting Electrode Model for Electrical Impedance Tomography. SIAM J. Appl. Math. Jérémi Dardé, Nuutti Hyvönen, Topi Kuutela, Tuomo Valkonen
2022	J	`jnl`	Proximal methods for point source localisation. CoRR Tuomo Valkonen
2021	J	`jnl`	Electrodeless electrode model for electrical impedance tomography. CoRR Jérémi Dardé, Nuutti Hyvönen, Topi Kuutela, Tuomo Valkonen
2021	J	`jnl`	Nonplanar sensing skins for structural health monitoring based on electrical resistance tomography. Comput. Aided Civ. Infrastructure Eng. Jyrki Jauhiainen, Mohammad Pour-Ghaz, Tuomo Valkonen, Aku Seppänen
2021	J	`jnl`	Predictive Online Optimisation with Applications to Optical Flow. J. Math. Imaging Vis. Tuomo Valkonen
2020	J	`jnl`	Inertial, Corrected, Primal-Dual Proximal Splitting. SIAM J. Optim. Tuomo Valkonen
2020	J	`jnl`	Inverse problems with second-order Total Generalized Variation constraints. CoRR Kristian Bredies, Tuomo Valkonen
2020	J	`jnl`	Non-planar sensing skins for structural health monitoring based on electrical resistance tomography. CoRR Jyrki Jauhiainen, Mohammad Pour-Ghaz, Tuomo Valkonen, Aku Seppänen
2020	J	`jnl`	Predictive online optimisation with applications to optical flow. CoRR Tuomo Valkonen
2020	J	`jnl`	Relaxed Gauss-Newton Methods with Applications to Electrical Impedance Tomography. SIAM J. Imaging Sci. Jyrki Jauhiainen, Petri Kuusela, Aku Seppänen, Tuomo Valkonen
2020	J	`jnl`	Relaxed Gauss-Newton methods with applications to electrical impedance tomography. CoRR Jyrki Jauhiainen, Petri Kuusela, Aku Seppänen, Tuomo Valkonen
2019	J	`jnl`	Acceleration and Global Convergence of a First-Order Primal-Dual Method for Nonconvex Problems. SIAM J. Optim. Christian Clason, Stanislav Mazurenko, Tuomo Valkonen
2019	J	`jnl`	Primal-dual block-proximal splitting for a class of non-convex problems. CoRR Stanislav Mazurenko, Jyrki Jauhiainen, Tuomo Valkonen
2017	J	`jnl`	Acceleration of the PDHGM on Partially Strongly Convex Functions. J. Math. Imaging Vis. Tuomo Valkonen, Thomas Pock
2017	J	`jnl`	Bilevel Parameter Learning for Higher-Order Total Variation Regularisation Models. J. Math. Imaging Vis. Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen
2017	J	`jnl`	Primal-Dual Extragradient Methods for Nonlinear Nonsmooth PDE-Constrained Optimization. SIAM J. Optim. Christian Clason, Tuomo Valkonen
2016	J	`jnl`	Block-proximal methods with spatially adapted acceleration. CoRR Tuomo Valkonen
2016	J	`jnl`	Diffusion Tensor Imaging with Deterministic Error Bounds. J. Math. Imaging Vis. Artur Gorokh, Yury Korolev, Tuomo Valkonen
2015	J	`jnl`	Acceleration of the PDHGM on strongly convex subspaces. CoRR Tuomo Valkonen, Thomas Pock
2015	—	`conf`	Asymptotic Behaviour of Total Generalised Variation. SSVM Konstantinos Papafitsoros, Tuomo Valkonen
2015	J	`jnl`	Bilevel approaches for learning of variational imaging models. CoRR Luca Calatroni, Cao Chung, Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen
2015	J	`jnl`	Bilevel parameter learning for higher-order total variation regularisation models. CoRR Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen
2015	J	`jnl`	Diffusion tensor imaging with deterministic error bounds. CoRR Artur Gorokh, Yury Korolev, Tuomo Valkonen
2015	J	`jnl`	Limiting Aspects of Nonconvex TV SIAM J. Imaging Sci. Michael Hintermüller, Tuomo Valkonen, Tao Wu
2015	—	`conf`	Preconditioned ADMM with Nonlinear Operator Constraint. System Modelling and Optimization Martin Benning, Florian Knoll, Carola-Bibiane Schönlieb, Tuomo Valkonen
2015	J	`jnl`	The Jump Set under Geometric Regularization. Part 1: Basic Technique and First-Order Denoising. SIAM J. Math. Anal. Tuomo Valkonen
2015	J	`jnl`	The structure of optimal parameters for image restoration problems. CoRR Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen
2014	J	`jnl`	Imaging with Kantorovich-Rubinstein Discrepancy. SIAM J. Imaging Sci. Jan Lellmann, Dirk A. Lorenz, Carola-Bibiane Schönlieb, Tuomo Valkonen
2014	J	`jnl`	Imaging with Kantorovich-Rubinstein discrepancy. CoRR Jan Lellmann, Dirk A. Lorenz, Carola Schönlieb, Tuomo Valkonen
2014	J	`jnl`	The jump set under geometric regularisation. Part 1: Basic technique and first-order denoising. CoRR Tuomo Valkonen
2014	J	`jnl`	The jump set under geometric regularisation. Part 2: Higher-order approaches. CoRR Tuomo Valkonen
2013	J	`jnl`	GPU-accelererated regularisation of large diffusion-tensor volumes. Computing Tuomo Valkonen, Manfred Liebmann
2013	J	`jnl`	Total Generalized Variation in Diffusion Tensor Imaging. SIAM J. Imaging Sci. Tuomo Valkonen, Kristian Bredies, Florian Knoll
2010	J	`jnl`	Clustering and the perturbed spatial median. Math. Comput. Model. Tuomo Valkonen, Tommi Kärkkäinen
2010	J	`jnl`	Refined optimality conditions for differences of convex functions. J. Glob. Optim. Tuomo Valkonen
2008	J	`jnl`	Non-smooth SOR for J. Sci. Comput. Roland Glowinski, Tommi Kärkkäinen, Tuomo Valkonen, Andriy Ivannikov