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Martin S. Andersen 0001
Person information
- affiliation: Technical University of Denmark, Lyngby, Denmark
Other persons with the same name
- Martin S. Andersen 0002
(aka: Martin Stolpe Andersen) — University of Copenhagen, Copenhagen, Denmark
- Martin S. Andersen 0003
- Martin S. Andersen 0004
- Martin S. Andersen 0005
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2020 – today
- 2024
- [j18]Andreas A. Bock
Preconditioner Design via Bregman Divergences. SIAM J. Matrix Anal. Appl. 45(2): 1148-1182 (2024) - [c12]João Victor Galvão da Mata
Direct System Identification of Dynamical Networks with Partial Measurements: A Maximum Likelihood Approach. ECC 2024: 3116-3123 - [i10]Remi Laumont, Yiqiu Dong, Martin S. Andersen:
Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin Methods. CoRR abs/2406.16658 (2024) - 2023
- [j17]Jasper M. Everink
Bayesian Inference with Projected Densities. SIAM/ASA J. Uncertain. Quantification 11(3): 1025-1043 (2023) - [c11]Zhuohua Shen, Yu Xu, Martin S. Andersen, Tianshi Chen:
An Efficient Implementation for Kernel-Based Regularized System Identification with Periodic Input Signals. CDC 2023: 1480-1485 - [c10]Lujing Chen
Towards Scalable Kernel-Based Regularized System Identification. CDC 2023: 1498-1504 - [c9]João Victor Galvão da Mata
AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces. DSAA 2023: 1-7 - [c8]João Victor Galvão da Mata
Link Prediction on Graphs Using NLP Embedding. DSAA 2023: 1-3 - [i9]Andreas A. Bock, Martin S. Andersen:
Preconditioner Design via the Bregman Divergence. CoRR abs/2304.12162 (2023) - [i8]João Victor Galvão da Mata, Martin S. Andersen:
AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces. CoRR abs/2310.20060 (2023) - [i7]João Victor Galvão da Mata
Direct System Identification of Dynamical Networks with Partial Measurements: a Maximum Likelihood Approach. CoRR abs/2311.00369 (2023) - [i6]Andreas A. Bock, Martin S. Andersen:
A New Matrix Truncation Method for Improving Approximate Factorisation Preconditioners. CoRR abs/2312.06417 (2023) - 2022
- [i5]Frederik H. Pedersen, Jakob Sauer Jørgensen, Martin S. Andersen:
A Bayesian Approach to CT Reconstruction with Uncertain Geometry. CoRR abs/2203.01045 (2022) - [i4]Katrine O. Bangsgaard
Low-rank flat-field correction for artifact reduction in spectral computed tomography. CoRR abs/2203.01637 (2022) - 2021
- [j16]Tianshi Chen
On semiseparable kernels and efficient implementation for regularized system identification and function estimation. Autom. 132: 109682 (2021) - [i3]Alessandro Perelli, Martin S. Andersen:
Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition. CoRR abs/2103.13909 (2021) - 2020
- [j15]Martin S. Andersen
Smoothing Splines and Rank Structured Matrices: Revisiting the Spline Kernel. SIAM J. Matrix Anal. Appl. 41(2): 389-412 (2020) - [c7]Hari Om Aggrawal, Martin S. Andersen
An Image Registration Framework for Discontinuous Mappings Along Cracks. WBIR 2020: 163-173
2010 – 2019
- 2019
- [j14]Yunyi Hu, Martin S. Andersen
Spectral Computed Tomography with Linearization and Preconditioning. SIAM J. Sci. Comput. 41(5): S370-S389 (2019) - 2018
- [j13]Sina Khoshfetrat Pakazad
Distributed Semidefinite Programming With Application to Large-Scale System Analysis. IEEE Trans. Autom. Control. 63(4): 1045-1058 (2018) - [j12]Hari Om Aggrawal
A Convex Reconstruction Model for X-Ray Tomographic Imaging With Uncertain Flat-Fields. IEEE Trans. Computational Imaging 4(1): 17-31 (2018) - 2017
- [j11]Sara Soltani
Tomographic image reconstruction using training images. J. Comput. Appl. Math. 313: 243-258 (2017) - [j10]Jinchao Li, Martin S. Andersen
Inexact proximal Newton methods for self-concordant functions. Math. Methods Oper. Res. 85(1): 19-41 (2017) - [j9]Sina Khoshfetrat Pakazad, Anders Hansson, Martin S. Andersen
Distributed primal-dual interior-point methods for solving tree-structured coupled convex problems using message-passing. Optim. Methods Softw. 32(3): 401-435 (2017) - 2015
- [j8]Lieven Vandenberghe, Martin S. Andersen
Chordal Graphs and Semidefinite Optimization. Found. Trends Optim. 1(4): 241-433 (2015) - [j7]Sina Khoshfetrat Pakazad, Martin S. Andersen
Distributed solutions for loosely coupled feasibility problems using proximal splitting methods. Optim. Methods Softw. 30(1): 128-161 (2015) - [i2]Sara Soltani, Martin S. Andersen, Per Christian Hansen:
Tomographic Image Reconstruction using Dictionary Priors. CoRR abs/1503.01993 (2015) - 2014
- [j6]Martin S. Andersen
Generalized row-action methods for tomographic imaging. Numer. Algorithms 67(1): 121-144 (2014) - [j5]Yifan Sun
Decomposition in Conic Optimization with Partially Separable Structure. SIAM J. Optim. 24(2): 873-897 (2014) - [j4]Martin S. Andersen
Robust Stability Analysis of Sparsely Interconnected Uncertain Systems. IEEE Trans. Autom. Control. 59(8): 2151-2156 (2014) - [j3]Tianshi Chen
System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques. IEEE Trans. Autom. Control. 59(11): 2933-2945 (2014) - [c6]Tianshi Chen, Martin S. Andersen
Anomaly detection in homogenous populations: A sparse multiple kernel-based regularization method. CDC 2014: 265-270 - [c5]Leo Emil Sokoler, Gianluca Frison, Martin S. Andersen
Input-constrained model predictive control via the alternating direction method of multipliers. ECC 2014: 115-120 - 2013
- [j2]Martin S. Andersen
Logarithmic barriers for sparse matrix cones. Optim. Methods Softw. 28(3): 396-423 (2013) - 2012
- [c4]Tianshi Chen
Sparse multiple kernels for impulse response estimation with majorization minimization algorithms. CDC 2012: 1500-1505 - [c3]Martin S. Andersen
Distributed robust stability analysis of interconnected uncertain systems. CDC 2012: 1548-1553 - [c2]Christian Lyzell, Martin S. Andersen
A convex relaxation of a dimension reduction problem using the nuclear norm. CDC 2012: 2852-2857 - [i1]Martin S. Andersen, Joachim Dahl, Lieven Vandenberghe:
Logarithmic barriers for sparse matrix cones. CoRR abs/1203.2742 (2012) - 2010
- [j1]Martin S. Andersen
Implementation of nonsymmetric interior-point methods for linear optimization over sparse matrix cones. Math. Program. Comput. 2(3-4): 167-201 (2010) - [c1]Martin S. Andersen
Linear matrix inequalities with chordal sparsity patterns and applications to robust quadratic optimization. CACSD 2010: 7-12
Coauthor Index
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