Martin S. Andersen

Orcid: 0000-0002-4654-3946

Affiliations:
  • Technical University of Denmark, Lyngby, Denmark


According to our database1, Martin S. Andersen authored at least 35 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Bayesian Inference with Projected Densities.
SIAM/ASA J. Uncertain. Quantification, September, 2023

A New Matrix Truncation Method for Improving Approximate Factorisation Preconditioners.
CoRR, 2023

Direct System Identification of Dynamical Networks with Partial Measurements: a Maximum Likelihood Approach.
CoRR, 2023

Preconditioner Design via the Bregman Divergence.
CoRR, 2023

Link Prediction on Graphs Using NLP Embedding.
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.
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.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Towards Scalable Kernel-Based Regularized System Identification.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Low-rank flat-field correction for artifact reduction in spectral computed tomography.
CoRR, 2022

A Bayesian Approach to CT Reconstruction with Uncertain Geometry.
CoRR, 2022

2021
Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition.
CoRR, 2021

On semiseparable kernels and efficient implementation for regularized system identification and function estimation.
Autom., 2021

2020
Smoothing Splines and Rank Structured Matrices: Revisiting the Spline Kernel.
SIAM J. Matrix Anal. Appl., 2020

An Image Registration Framework for Discontinuous Mappings Along Cracks.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020

2019
Spectral Computed Tomography with Linearization and Preconditioning.
SIAM J. Sci. Comput., 2019

2018
A Convex Reconstruction Model for X-Ray Tomographic Imaging With Uncertain Flat-Fields.
IEEE Trans. Computational Imaging, 2018

Distributed Semidefinite Programming With Application to Large-Scale System Analysis.
IEEE Trans. Autom. Control., 2018

2017
Distributed primal-dual interior-point methods for solving tree-structured coupled convex problems using message-passing.
Optim. Methods Softw., 2017

Inexact proximal Newton methods for self-concordant functions.
Math. Methods Oper. Res., 2017

Tomographic image reconstruction using training images.
J. Comput. Appl. Math., 2017

2015
Distributed solutions for loosely coupled feasibility problems using proximal splitting methods.
Optim. Methods Softw., 2015

Chordal Graphs and Semidefinite Optimization.
Found. Trends Optim., 2015

Tomographic Image Reconstruction using Dictionary Priors.
CoRR, 2015

2014
System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques.
IEEE Trans. Autom. Control., 2014

Robust Stability Analysis of Sparsely Interconnected Uncertain Systems.
IEEE Trans. Autom. Control., 2014

Decomposition in Conic Optimization with Partially Separable Structure.
SIAM J. Optim., 2014

Generalized row-action methods for tomographic imaging.
Numer. Algorithms, 2014

Input-constrained model predictive control via the alternating direction method of multipliers.
Proceedings of the 13th European Control Conference, 2014

Anomaly detection in homogenous populations: A sparse multiple kernel-based regularization method.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Logarithmic barriers for sparse matrix cones.
Optim. Methods Softw., 2013

2012
A convex relaxation of a dimension reduction problem using the nuclear norm.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Sparse multiple kernels for impulse response estimation with majorization minimization algorithms.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Distributed robust stability analysis of interconnected uncertain systems.
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.
Math. Program. Comput., 2010

Linear matrix inequalities with chordal sparsity patterns and applications to robust quadratic optimization.
Proceedings of the 2010 IEEE International Symposium on Computer-Aided Control System Design, 2010


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