Martin S. Andersen

SIAM J. Matrix Anal. Appl., 2024

Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin Methods.

[BibT_eX]

[DOI]

Remi Laumont

Yiqiu Dong

João Victor Galvão da Mata

CoRR, 2024

Direct System Identification of Dynamical Networks with Partial Measurements: A Maximum Likelihood Approach.

[BibT_eX]

[DOI]

Proceedings of the European Control Conference, 2024

2023

Bayesian Inference with Projected Densities.

[BibT_eX]

[DOI]

Jasper M. Everink

Yiqiu Dong

SIAM/ASA J. Uncertain. Quantification, September, 2023

A New Matrix Truncation Method for Improving Approximate Factorisation Preconditioners.

[BibT_eX]

[DOI]

Andreas A. Bock

CoRR, 2023

Preconditioner Design via the Bregman Divergence.

[BibT_eX]

[DOI]

Andreas A. Bock

João Victor Galvão da Mata

CoRR, 2023

Link Prediction on Graphs Using NLP Embedding.

[BibT_eX]

[DOI]

João Victor Galvão da Mata

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

An Efficient Implementation for Kernel-Based Regularized System Identification with Periodic Input Signals.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Towards Scalable Kernel-Based Regularized System Identification.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Low-rank flat-field correction for artifact reduction in spectral computed tomography.

[BibT_eX]

[DOI]

Katrine O. Bangsgaard

Genoveva Burca

Evelina Ametova

Jakob Sauer Jørgensen

CoRR, 2022

A Bayesian Approach to CT Reconstruction with Uncertain Geometry.

[BibT_eX]

[DOI]

Frederik H. Pedersen

Jakob Sauer Jørgensen

CoRR, 2022

2021

Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition.

[BibT_eX]

[DOI]

Alessandro Perelli

CoRR, 2021

On semiseparable kernels and efficient implementation for regularized system identification and function estimation.

[BibT_eX]

[DOI]

Tianshi Chen

Autom., 2021

2020

Smoothing Splines and Rank Structured Matrices: Revisiting the Spline Kernel.

[BibT_eX]

[DOI]

Tianshi Chen

SIAM J. Matrix Anal. Appl., 2020

An Image Registration Framework for Discontinuous Mappings Along Cracks.

[BibT_eX]

[DOI]

Hari Om Aggrawal

Jan Modersitzki

Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020

2019

Spectral Computed Tomography with Linearization and Preconditioning.

[BibT_eX]

[DOI]

Yunyi Hu

James G. Nagy

SIAM J. Sci. Comput., 2019

2018

A Convex Reconstruction Model for X-Ray Tomographic Imaging With Uncertain Flat-Fields.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2018

Distributed Semidefinite Programming With Application to Large-Scale System Analysis.

[BibT_eX]

[DOI]

Anders Rantzer

IEEE Trans. Autom. Control., 2018

2017

Distributed primal-dual interior-point methods for solving tree-structured coupled convex problems using message-passing.

[BibT_eX]

[DOI]

Isak Nielsen

Optim. Methods Softw., 2017

Inexact proximal Newton methods for self-concordant functions.

[BibT_eX]

[DOI]

Jinchao Li

Math. Methods Oper. Res., 2017

Tomographic image reconstruction using training images.

[BibT_eX]

[DOI]

Sara Soltani

Per Christian Hansen

J. Comput. Appl. Math., 2017

2015

Distributed solutions for loosely coupled feasibility problems using proximal splitting methods.

[BibT_eX]

[DOI]

Optim. Methods Softw., 2015

Chordal Graphs and Semidefinite Optimization.

[BibT_eX]

[DOI]

Found. Trends Optim., 2015

Tomographic Image Reconstruction using Dictionary Priors.

[BibT_eX]

[DOI]

Sara Soltani

Per Christian Hansen

CoRR, 2015

2014

System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2014

Robust Stability Analysis of Sparsely Interconnected Uncertain Systems.

[BibT_eX]

[DOI]

Anders Rantzer

IEEE Trans. Autom. Control., 2014

Decomposition in Conic Optimization with Partially Separable Structure.

[BibT_eX]

[DOI]

Yifan Sun

SIAM J. Optim., 2014

Generalized row-action methods for tomographic imaging.

[BibT_eX]

[DOI]

Per Christian Hansen

Numer. Algorithms, 2014

Input-constrained model predictive control via the alternating direction method of multipliers.

[BibT_eX]

[DOI]

Leo Emil Sokoler

Gianluca Frison

John Bagterp Jørgensen

Proceedings of the 13th European Control Conference, 2014

Anomaly detection in homogenous populations: A sparse multiple kernel-based regularization method.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Logarithmic barriers for sparse matrix cones.

[BibT_eX]

[DOI]

Joachim Dahl

Optim. Methods Softw., 2013

2012

A convex relaxation of a dimension reduction problem using the nuclear norm.

[BibT_eX]

[DOI]

Christian Lyzell

Martin Enqvist

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Sparse multiple kernels for impulse response estimation with majorization minimization algorithms.

[BibT_eX]

[DOI]

Francesca Paola Carli

Gianluigi Pillonetto

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Distributed robust stability analysis of interconnected uncertain systems.

[BibT_eX]

[DOI]

Anders Rantzer

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2010

Implementation of nonsymmetric interior-point methods for linear optimization over sparse matrix cones.

[BibT_eX]

[DOI]

Joachim Dahl

Math. Program. Comput., 2010

Linear matrix inequalities with chordal sparsity patterns and applications to robust quadratic optimization.

[BibT_eX]

[DOI]