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2020 – today
- 2024
[j21]Ensio Suonperä
, Tuomo Valkonen:
Linearly convergent bilevel optimization with single-step inner methods. Comput. Optim. Appl. 87(2): 571-610 (2024)- [j20]Bjørn Jensen, Tuomo Valkonen:
A nonsmooth primal-dual method with interwoven PDE constraint solver. Comput. Optim. Appl. 89(1): 115-149 (2024) - [j19]Neil D. Dizon, Jyrki Jauhiainen, Tuomo Valkonen:
Prediction Techniques for Dynamic Imaging with Online Primal-Dual Methods. J. Math. Imaging Vis. 66(6): 1109-1134 (2024) - [i18]Neil D. Dizon, Jyrki Jauhiainen, Tuomo Valkonen:
Prediction techniques for dynamic imaging with online primal-dual methods. CoRR abs/2405.02497 (2024) - 2022
- [j18]Jérémi Dardé, Nuutti Hyvönen, Topi Kuutela, Tuomo Valkonen:
Contact Adapting Electrode Model for Electrical Impedance Tomography. SIAM J. Appl. Math. 82(2): 427-449 (2022) - [i17]Bjørn Jensen, Tuomo Valkonen:
A nonsmooth primal-dual method with simultaneous adaptive PDE constraint solver. CoRR abs/2211.04807 (2022) - [i16]Tuomo Valkonen:
Proximal methods for point source localisation. CoRR abs/2212.02991 (2022) - 2021
- [j17]Jyrki Jauhiainen, Mohammad Pour-Ghaz, Tuomo Valkonen, Aku Seppänen:
Nonplanar sensing skins for structural health monitoring based on electrical resistance tomography. Comput. Aided Civ. Infrastructure Eng. 36(12): 1488-1507 (2021) - [j16]Tuomo Valkonen:
Predictive Online Optimisation with Applications to Optical Flow. J. Math. Imaging Vis. 63(3): 329-355 (2021) - [i15]Jérémi Dardé, Nuutti Hyvönen, Topi Kuutela, Tuomo Valkonen:
Electrodeless electrode model for electrical impedance tomography. CoRR abs/2102.01926 (2021) - 2020
- [j15]Jyrki Jauhiainen, Petri Kuusela, Aku Seppänen, Tuomo Valkonen:
Relaxed Gauss-Newton Methods with Applications to Electrical Impedance Tomography. SIAM J. Imaging Sci. 13(3): 1415-1445 (2020) - [j14]Tuomo Valkonen:
Inertial, Corrected, Primal-Dual Proximal Splitting. SIAM J. Optim. 30(2): 1391-1420 (2020) - [i14]Tuomo Valkonen:
Predictive online optimisation with applications to optical flow. CoRR abs/2002.03053 (2020) - [i13]Jyrki Jauhiainen, Petri Kuusela, Aku Seppänen, Tuomo Valkonen:
Relaxed Gauss-Newton methods with applications to electrical impedance tomography. CoRR abs/2002.08044 (2020) - [i12]Kristian Bredies, Tuomo Valkonen:
Inverse problems with second-order Total Generalized Variation constraints. CoRR abs/2005.09725 (2020) - [i11]Jyrki Jauhiainen, Mohammad Pour-Ghaz, Tuomo Valkonen, Aku Seppänen:
Non-planar sensing skins for structural health monitoring based on electrical resistance tomography. CoRR abs/2012.04588 (2020)
2010 – 2019
- 2019
- [j13]Christian Clason, Stanislav Mazurenko, Tuomo Valkonen:
Acceleration and Global Convergence of a First-Order Primal-Dual Method for Nonconvex Problems. SIAM J. Optim. 29(1): 933-963 (2019) - [i10]Stanislav Mazurenko, Jyrki Jauhiainen, Tuomo Valkonen:
Primal-dual block-proximal splitting for a class of non-convex problems. CoRR abs/1911.06284 (2019) - 2017
- [j12]Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen:
Bilevel Parameter Learning for Higher-Order Total Variation Regularisation Models. J. Math. Imaging Vis. 57(1): 1-25 (2017) - [j11]Tuomo Valkonen, Thomas Pock:
Acceleration of the PDHGM on Partially Strongly Convex Functions. J. Math. Imaging Vis. 59(3): 394-414 (2017) - [j10]Christian Clason, Tuomo Valkonen:
Primal-Dual Extragradient Methods for Nonlinear Nonsmooth PDE-Constrained Optimization. SIAM J. Optim. 27(3): 1314-1339 (2017) - 2016
- [j9]Artur Gorokh, Yury Korolev, Tuomo Valkonen:
Diffusion Tensor Imaging with Deterministic Error Bounds. J. Math. Imaging Vis. 56(1): 137-157 (2016) - [i9]Tuomo Valkonen:
Block-proximal methods with spatially adapted acceleration. CoRR abs/1609.07373 (2016) - 2015
- [j8]Michael Hintermüller, Tuomo Valkonen, Tao Wu:
Limiting Aspects of Nonconvex TVφ Models. SIAM J. Imaging Sci. 8(4): 2581-2621 (2015) - [j7]Tuomo Valkonen:
The Jump Set under Geometric Regularization. Part 1: Basic Technique and First-Order Denoising. SIAM J. Math. Anal. 47(4): 2587-2629 (2015) - [c2]Martin Benning, Florian Knoll, Carola-Bibiane Schönlieb, Tuomo Valkonen:
Preconditioned ADMM with Nonlinear Operator Constraint. System Modelling and Optimization 2015: 117-126 - [c1]Konstantinos Papafitsoros, Tuomo Valkonen:
Asymptotic Behaviour of Total Generalised Variation. SSVM 2015: 702-714 - [i8]Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen:
The structure of optimal parameters for image restoration problems. CoRR abs/1505.01953 (2015) - [i7]Luca Calatroni, Cao Chung, Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen:
Bilevel approaches for learning of variational imaging models. CoRR abs/1505.02120 (2015) - [i6]Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen:
Bilevel parameter learning for higher-order total variation regularisation models. CoRR abs/1508.07243 (2015) - [i5]Artur Gorokh, Yury Korolev, Tuomo Valkonen:
Diffusion tensor imaging with deterministic error bounds. CoRR abs/1509.02223 (2015) - [i4]Tuomo Valkonen, Thomas Pock:
Acceleration of the PDHGM on strongly convex subspaces. CoRR abs/1511.06566 (2015) - 2014
- [j6]Jan Lellmann, Dirk A. Lorenz, Carola-Bibiane Schönlieb, Tuomo Valkonen:
Imaging with Kantorovich-Rubinstein Discrepancy. SIAM J. Imaging Sci. 7(4): 2833-2859 (2014) - [i3]Jan Lellmann, Dirk A. Lorenz, Carola Schönlieb, Tuomo Valkonen:
Imaging with Kantorovich-Rubinstein discrepancy. CoRR abs/1407.0221 (2014) - [i2]Tuomo Valkonen:
The jump set under geometric regularisation. Part 1: Basic technique and first-order denoising. CoRR abs/1407.1531 (2014) - [i1]Tuomo Valkonen:
The jump set under geometric regularisation. Part 2: Higher-order approaches. CoRR abs/1407.2334 (2014) - 2013
- [j5]Tuomo Valkonen, Manfred Liebmann:
GPU-accelererated regularisation of large diffusion-tensor volumes. Computing 95(S1): 771-784 (2013) - [j4]Tuomo Valkonen, Kristian Bredies, Florian Knoll:
Total Generalized Variation in Diffusion Tensor Imaging. SIAM J. Imaging Sci. 6(1): 487-525 (2013) - 2010
- [j3]Tuomo Valkonen:
Refined optimality conditions for differences of convex functions. J. Glob. Optim. 48(2): 311-321 (2010) - [j2]Tuomo Valkonen, Tommi Kärkkäinen:
Clustering and the perturbed spatial median. Math. Comput. Model. 52(1-2): 87-106 (2010)
2000 – 2009
- 2008
- [j1]Roland Glowinski, Tommi Kärkkäinen, Tuomo Valkonen, Andriy Ivannikov:
Non-smooth SOR for L 1-Fitting: Convergence Study and Discussion of Related Issues. J. Sci. Comput. 37(2): 103-138 (2008)
Coauthor Index
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