Erkki Somersalo

45 papers Journal 40Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discretization-free Bayesian inverse problems in distribution spaces. CoRR Daniela Calvetti, Erkki Somersalo
2026	J	`jnl`	Sparse Dictionary-Based Solution of Dynamic Inverse Problems. CoRR Aidan Mason-Mackay, Daniela Calvetti, Erkki Somersalo, Antti Aarnio, Mikko I. Kettunen, Ekaterina Paasonen Olli Gröhn, Ville Kolehmainen
2026	J	`jnl`	Subspace Splitting Fast Sampling from Gaussian Posterior Distributions of Linear Inverse Problems. SIAM/ASA J. Uncertain. Quantification Daniela Calvetti, Erkki Somersalo
2025	J	`jnl`	Bayesian dictionary learning estimation of cell membrane permeability from surface pH data. CoRR Alberto Bocchinfuso, Daniela Calvetti, Erkki Somersalo
2025	J	`jnl`	Dictionary learning methods for brain activity mapping with MEG data. CoRR Daniela Calvetti, Erkki Somersalo
2025	J	`jnl`	Distributed Tikhonov regularization for ill-posed inverse problems from a Bayesian perspective. Comput. Optim. Appl. Daniela Calvetti, Erkki Somersalo
2025	J	`jnl`	Sparsity-promoting hierarchical Bayesian model for EIT with a blocky target. J. Comput. Phys. Daniela Calvetti, Monica Pragliola, Erkki Somersalo
2025	J	`jnl`	Spotlight inversion by orthogonal projections. CoRR Daniela Calvetti, Nuutti Hyvönen, Ville Kolehmainen, Erkki Somersalo
2025	J	`jnl`	Subspace Splitting Fast Sampling from Gaussian Posterior Distributions of Linear Inverse Problems. CoRR Daniela Calvetti, Erkki Somersalo
2024	J	`jnl`	An efficient hierarchical Bayesian method for the Kuopio tomography challenge 2023. CoRR Monica Pragliola, Daniela Calvetti, Erkki Somersalo
2024	J	`jnl`	Computationally Efficient Sampling Methods for Sparsity Promoting Hierarchical Bayesian Models. SIAM/ASA J. Uncertain. Quantification Daniela Calvetti, Erkki Somersalo
2024	J	`jnl`	Distributed Tikhonov regularization for ill-posed inverse problems from a Bayesian perspective. CoRR Daniela Calvetti, Erkki Somersalo
2024	J	`jnl`	Sparsity-promoting hierarchical Bayesian model for EIT with a blocky target. CoRR Daniela Calvetti, Monica Pragliola, Erkki Somersalo
2023	J	`jnl`	Adaptive anisotropic Bayesian meshing for inverse problems. CoRR Alberto Bocchinfuso, Daniela Calvetti, Erkki Somersalo
2023	J	`jnl`	Bayesian sparsity and class sparsity priors for dictionary learning and coding. CoRR Alberto Bocchinfuso, Daniela Calvetti, Erkki Somersalo
2023	J	`jnl`	Computationally efficient sampling methods for sparsity promoting hierarchical Bayesian models. CoRR Daniela Calvetti, Erkki Somersalo
2021	J	`jnl`	Mining the Mind: Linear Discriminant Analysis of MEG source reconstruction time series supports dynamic changes in deep brain regions during meditation sessions. CoRR Daniela Calvetti, B. Johnson, Annalisa Pascarella, Francesca Pitolli, Erkki Somersalo, Barbara Vantaggi
2020	J	`jnl`	Bayesian Mesh Adaptation for Estimating Distributed Parameters. SIAM J. Sci. Comput. Daniela Calvetti, Anna Cosmo, Simona Perotto, Erkki Somersalo
2020	J	`jnl`	Bayesian dynamical estimation of the parameters of an SE(A)IR COVID-19 spread model. CoRR Daniela Calvetti, Alexander Hoover, Johnie Rose, Erkki Somersalo
2020	J	`jnl`	Computational Model of Electrode-Induced Microenvironmental Effects on pH Measurements Near a Cell Membrane. Multiscale Model. Simul. Daniela Calvetti, Jamie Prezioso, Rossana Occhipinti, Walter F. Boron, Erkki Somersalo
2020	J	`jnl`	Overcomplete representation in a hierarchical Bayesian framework. CoRR Monica Pragliola, Daniela Calvetti, Erkki Somersalo
2020	J	`jnl`	Sparsity Promoting Hybrid Solvers for Hierarchical Bayesian Inverse Problems. SIAM J. Sci. Comput. Daniela Calvetti, Monica Pragliola, Erkki Somersalo
2020	J	`jnl`	Sparsity promoting hybrid solvers for hierarchical Bayesian inverse problems. CoRR Daniela Calvetti, Monica Pragliola, Erkki Somersalo
2018	J	`jnl`	Bayes Meets Krylov: Statistically Inspired Preconditioners for CGLS. SIAM Rev. Daniela Calvetti, Francesca Pitolli, Erkki Somersalo, Barbara Vantaggi
2017	J	`jnl`	Beyond the Model Limit: Parameter Inference Across Scales. SIAM/ASA J. Uncertain. Quantification Margaret Callahan, Daniela Calvetti, Erkki Somersalo
2017	J	`jnl`	Priorconditioned CGLS-Based Quasi-MAP Estimate, Statistical Stopping Rule, and Ranking of Priors. SIAM J. Sci. Comput. Daniela Calvetti, Francesca Pitolli, Jamie Prezioso, Erkki Somersalo, Barbara Vantaggi
2016	J	`jnl`	Computational issues and numerical experiments for Linear Multistep Method Particle Filtering. CoRR Daniela Calvetti, Salvatore Cuomo, Monica Pragliola, Erkki Somersalo, Gerardo Toraldo
2015	—	`ch.`	Statistical Methods in Imaging. Handbook of Mathematical Methods in Imaging Daniela Calvetti, Erkki Somersalo
2015	J	`jnl`	Variable order smoothness priors for ill-posed inverse problems. Math. Comput. Daniela Calvetti, Erkki Somersalo, Ruben D. Spies
2013	J	`jnl`	Bayesian Preconditioned CGLS for Source Separation in MEG Time Series. SIAM J. Sci. Comput. Laura Homa, Daniela Calvetti, Alexander Hoover, Erkki Somersalo
2013	—	`book`	Computational Mathematical Modeling - An Integrated Approach Across Scales. Daniela Calvetti, Erkki Somersalo
2010	J	`jnl`	Metabolica: A statistical research tool for analyzing metabolic networks. Comput. Methods Programs Biomed. Jenni Heino, Daniela Calvetti, Erkki Somersalo
2009	J	`jnl`	Conditionally Gaussian Hypermodels for Cerebral Source Localization. SIAM J. Imaging Sci. Daniela Calvetti, Harri Hakula, Sampsa Pursiainen, Erkki Somersalo
2008	J	`jnl`	Sampling-Based Analysis of a Spatially Distributed Model for Liver Metabolism at Steady State. Multiscale Model. Simul. Daniela Calvetti, Amy Kuceyeski, Erkki Somersalo
2007	J	`jnl`	An efficient deconvolution algorithm for estimating oxygen consumption during muscle activities. Comput. Methods Programs Biomed. Ranjan K. Dash, Erkki Somersalo, Marco E. Cabrera, Daniela Calvetti
2006	—	`conf`	Approximation Errors and Model Reduction in Optical Tomography. EMBC Ville Kolehmainen, Simon R. Arridge, Jari P. Kaipio, Martin Schweiger, Erkki Somersalo, Tanja Tarvainen, Marko Vauhkonen
2006	J	`jnl`	Image inpainting with structural bootstrap priors. Image Vis. Comput. Daniela Calvetti, Fiorella Sgallari, Erkki Somersalo
2006	J	`jnl`	Large-Scale Statistical Parameter Estimation in Complex Systems with an Application to Metabolic Models. Multiscale Model. Simul. Daniela Calvetti, Erkki Somersalo
2004	—	`conf`	Using tomographic measurements in process control. CDC Anna R. Ruuskanen, Aku Seppänen, Stephen Duncan, Erkki Somersalo, Jari P. Kaipio
2003	—	`conf`	Regularization in Cardiac Source Imaging. FIMH Tuomas Lunttila, Jukka Nenonen, Erkki Somersalo
2002	J	`jnl`	Wind velocity observation with a CW Doppler radar. IEEE Trans. Geosci. Remote. Sens. Matti Lassas, Mustapha Mataich, Samuli Siltanen, Erkki Somersalo
2001	J	`jnl`	Fluid dynamical models and state estimation in process tomography: Effect due to inaccuracies in flow fields. J. Electronic Imaging Aku Seppänen, Marko Vauhkonen, Päivi Vauhkonen, Erkki Somersalo, Jari P. Kaipio
1998	J	`jnl`	On the Existence and Convergence of the Solution of PML Equations. Computing Matti Lassas, Erkki Somersalo
1998	J	`jnl`	Tikhonov regularization and prior information in electrical impedance tomography. IEEE Trans. Medical Imaging Marko Vauhkonen, Dénes Vadász, Pasi A. Karjalainen, Erkki Somersalo, Jari P. Kaipio
1996	J	`jnl`	Electromagnetic Inverse Problems and Generalized Sommerfeld Potentials. SIAM J. Appl. Math. Petri Ola, Erkki Somersalo