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Martin S. Andersen
Title
Cited by
Year
Preconditioner Design via Bregman Divergences
AA Bock, MS Andersen
SIAM Journal on Matrix Analysis and Applications 45 (2), 1148-1182, 2024
12024
Matrix Nearness Problems with Off-Block-Diagonal Rank Constraints
L Chen, FH Pedersen, MS Andersen
Linear Algebra and its Applications, 2024
2024
Low-rank flat-field correction for artifact reduction in spectral computed tomography
KO Bangsgaard, G Burca, E Ametova, MS Andersen, JS Jørgensen
Applied Mathematics in Science and Engineering 31 (1), 2176000, 2023
32023
A Bayesian approach to CT reconstruction with uncertain geometry
FH Pedersen, JS Jørgensen, MS Andersen
Applied Mathematics in Science and Engineering 31 (1), 2166041, 2023
12023
An Efficient Implementation for Kernel-Based Regularized System Identification with Periodic Input Signals
Z Shen, Y Xu, MS Andersen, T Chen
2023 62nd IEEE Conference on Decision and Control (CDC), 1480-1485, 2023
2023
Towards Scalable Kernel-Based Regularized System Identification
L Chen, T Chen, U Detha, MS Andersen
2023 62nd IEEE Conference on Decision and Control (CDC), 1498-1504, 2023
2023
A New Matrix Truncation Method for Improving Approximate Factorisation Preconditioners
AA Bock, MS Andersen
arXiv preprint arXiv:2312.06417, 2023
2023
Direct System Identification of Dynamical Networks with Partial Measurements: a Maximum Likelihood Approach
JV Galvão da Mata, A Hansson, MS Andersen
arXiv e-prints, arXiv: 2311.00369, 2023
2023
Link Prediction on Graphs Using NLP Embedding
JVG Da Mata, MS Andersen
2023 IEEE 10th International Conference on Data Science and Advanced …, 2023
2023
AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces
JVG Da Mata, MS Andersen
2023 IEEE 10th International Conference on Data Science and Advanced …, 2023
2023
Sparse Bayesian inference with regularized Gaussian distributions
JM Everink, Y Dong, MS Andersen
Inverse Problems 39 (11), 115004, 2023
12023
AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces
JV Galvão da Mata, MS Andersen
arXiv e-prints, arXiv: 2310.20060, 2023
2023
Bayesian inference with projected densities
JM Everink, Y Dong, MS Andersen
SIAM/ASA Journal on Uncertainty Quantification 11 (3), 1025-1043, 2023
42023
Optimization for Learning and Control
A Hansson, M Andersen
John Wiley & Sons, 2023
22023
On semiseparable kernels and efficient implementation for regularized system identification and function estimation
T Chen, MS Andersen
Automatica 132, 109682, 2021
132021
A statistical reconstruction model for absorption CT with source uncertainty
KO Bangsgaard, MS Andersen
Inverse Problems 37 (8), 085009, 2021
52021
Regularization by denoising sub-sampled Newton method for spectral CT multi-material decomposition
A Perelli, MS Andersen
Philosophical Transactions of the Royal Society A 379 (2200), 20200191, 2021
102021
Chapter 13: Optimization Methods for Tomography
MS Andersen
Computed Tomography: Algorithms, Insight, and Just Enough Theory, 275-315, 2021
12021
CVXOPT: Convex Optimization
M Andersen, J Dahl, L Vandenberghe
Astrophysics Source Code Library, ascl: 2008.017, 2020
292020
On the robustness and scalability of semidefinite relaxation for optimal power flow problems
A Eltved, J Dahl, MS Andersen
Optimization and Engineering 21 (2), 375-392, 2020
382020
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