Publications
Preprints
Convergence of alternating minimisation algorithms for dictionary learning
S. Ruetz and K. Schnass
arXiv:2304.01768, 2023. [pdf]Non-asymptotic bounds for inclusion probabilities in rejective sampling
S. Ruetz and K. Schnass
arXiv:2212.09391, 2022. [pdf]
Journal
Adapted variable density subsampling for compressed sensing
S. Ruetz
Constructive Approximation, 2024. [pdf] [official] [toolbox]Dictionary learning - from local towards global and adaptive
M.C. Pali and K. Schnass
Information and Inference: A Journal of the IMA, 12(3):1295–1346, 2023. [v1pdf] [v2pdf] [toolbox]-
Deep supervised dictionary learning by algorithmic unrolling - application to fast 2D dynamic MR image reconstruction
A. Kofler, M.C. Pali, T. Schaeffter and C. Kolbitsch
Medical Physics, 50(5):2939-2960, 2023. [link] Average performance of OMP and Thresholding under dictionary mismatch
M.C. Pali, S. Ruetz and K. Schnass
IEEE Signal Processing Letters, 29:1077-1081, 2022. [pdf]Submatrices with non-uniformly selected random supports and insights into sparse approximation
S. Ruetz and K. Schnass
SIAM Journal on Matrix Analysis and Applications (SIMAX), 42(3):1268–1289, 2021. [pdf]Adaptive sparsity level and dictionary size estimation for image reconstruction in accelerated 2D radial cine MRI
M.C. Pali, T. Schaeffter, C. Kolbitsch and A. Kofler
Journal of Medical Physics, 48(1):178-192, 2021. [pdf] [editor's choice] [toolbox]Compressed dictionary learning
K. Schnass and F. Teixeira
Journal of Fourier Analysis and Applications 26, Art. Nr. 33, 2020. [pdf] [probox] [toybox]Online and stable learning of analysis operators
M. Sandbichler and K. Schnass
IEEE Transactions on Signal Processing, 67(1):41--53, 2019. [pdf] [toolbox]Average performance of Orthogonal Matching Pursuit (OMP) for sparse approximation
K. Schnass
IEEE Signal Processing Letters (arXiv:1809.06684), 25(12):1865--1869, 2018. [pdf]Fast dictionary learning from incomplete data
V. Naumova and K. Schnass
EURASIP Journal on Advances in Signal Processing, 2018. [pdf] [toolbox]Convergence radius and sample complexity of ITKM algorithms for dictionary learning
K. Schnass
Applied and Computational Harmonic Analysis, 45(1):22–58, 2018. [pdf] [toolbox]
PhD-theses
Compressed sensing and dictionary learning with non-uniform support distribution
S. Ruetz
PhD thesis, University of Innsbruck, 2022. [pdf]Dictionary learning & sparse modelling
M.C. Pali
PhD thesis, University of Innsbruck, 2021. [pdf]
master theses
Convergence analysis for dictionary learning under a signal model with non-homogeneous distribution of supports & coefficient amplitudes
M.L. Kühmeier
MSc-thesis, University of Innsbruck, 2023. [pdf]
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