Research
Preprints
Journal papers
S. Banert, A. Ringh, J. Adler, J. Karlsson, O. Öktem. Data-driven nonsmooth optimization . Accepted to SIAM Journal on Optimization, 2019.
[preprint]
[code]
S. Zhang, A. Ringh, X. Hu, and J. Karlsson. Modeling collective behaviors: A moment-based approach . Accepted to IEEE Transactions on Automatic Control, 2019.
[preprint]
A. Ringh, J. Karlsson, and A. Lindquist. Multidimensional Rational Covariance Extension with Approximate Covariance Matching . SIAM Journal on Control and Optimization, 2018.
[preprint]
J. Karlsson and A. Ringh. Generalized Sinkhorn iterations for regularizing inverse problems using optimal mass transport . SIAM Journal on Imaging Sciences, 2017.
[preprint]
[code (zip)]
[code (github)]
A. Ringh, J. Karlsson, and A. Lindquist. Multidimensional Rational Covariance Extension with Applications to Spectral Estimation and Image Compression . SIAM Journal on Control and Optimization, 2016.
[preprint]
J. Karlsson, A. Lindquist, and A. Ringh. The Multidimensional Moment Problem with Complexity Constraint .
Integral Equations and Operator Theory, 2016.
[preprint]
Conference papers (peer reviewed)
I. Haasler, A. Ringh, Y. Chen, and J. Karlsson. Estimating ensemble flows on a hidden Markov chain . Accepted to IEEE Conference on Decision and Control (CDC), Dec. 2019.
[preprint]
A. Ringh, J. Karlsson, and A. Lindquist. Lower bounds on the maximum delay margin by analytic interpolation . IEEE Conference on Decision and Control (CDC), Dec. 2018.
[preprint]
[presentation]
S. Zhang, A. Ringh, X. Hu, and J. Karlsson. A Moment-Based Approach to Modeling Collective Behaviors . IEEE Conference on Decision and Control (CDC), Dec. 2018.
[preprint]
A. Ringh, J. Karlsson, and A. Lindquist. Further results on multidimensional rational covariance extension with application to texture generation . IEEE Conference on Decision and Control (CDC), Dec. 2017.
[preprint]
[presentation]
A. Ringh, X. Zhuge, W. J. Palenstijn, K. J. Batenburg, and O. Öktem. High-level algorithm prototyping: an example extending the TVR-DART algorithm . Discrete Geometry for Computer Imagery (DGCI), Sept. 2017.
[preprint]
[code (github)]
[presentation]
A. Ringh, J. Karlsson, and A. Lindquist. The Multidimensional Circulant Rational Covariance Extension Problem: Solutions and Applications in Image Compression . IEEE Conference on Decision and Control (CDC), Dec. 2015.
[preprint]
A. Ringh and J. Karlsson. A Fast Solver for the Circulant Rational Covariance Extension Problem . European Control Conference (ECC), July 2015. Won best student paper award .
[preprint]
[code(zip)]
A. Ringh and A. Lindquist. Spectral estimation of periodic and skew periodic random signals and approximation of spectral densities . Chinese Control Conference (CCC), July 2014.
Manuscripts
Some other presentations (posters and slides)
Thesis
Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning . PhD thesis, KTH Royal Institute of Technology, 2018.
[thesis]
[DiVA]
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