Veröffentlichungen "Maly, Johannes"

Caragea, Andrei ; Lee, Dae Gwan ; Maly, Johannes ; Pfander, Götz E. ; Voigtlaender, Felix:
Quantitative approximation results for complex-valued neural networks.
In: SIAM Journal on Mathematics of Data Science. 4 (2022) 2. - S. 553-580.
ISSN 2577-0187
0.1137/21M1429540
(Peer-Review-Journal)

Kereta, Željko ; Maly, Johannes ; Naumova, Valeriya:
Computational approaches to non-convex, sparsity-inducing multi-penalty regularization.
In: Inverse Problems. 37 (20. April 2021) 5: 055008. - 22 S.
ISSN 0266-5611 ; 1361-6420
10.1088/1361-6420/abdd46
(Peer-Review-Journal)

Iwen, Mark A. ; Krahmer, Felix ; Krause-Solberg, Sara ; Maly, Johannes:
On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds.
In: Discrete & computational geometry. 65 (15. April 2021). - S. 953-998.
ISSN 0179-5376 ; 1432-0444
10.1007/s00454-020-00267-z
(Peer-Review-Journal)

Fornasier, Massimo ; Maly, Johannes ; Naumova, Valeriya:
Robust Recovery of Low-Rank Matrices with Non-Orthogonal Sparse Decomposition from Incomplete Measurements.
In: Applied mathematics and computation. 392 (1. März 2021).
ISSN 0096-3003
10.1016/j.amc.2020.125702
(Peer-Review-Journal)

Dirksen, Sjoerd ; Maly, Johannes ; Rauhut, Holger:
Covariance estimation under one-bit quantization.
Eichstätt : arXiv, 2021. - 26 S.

Maly, Johannes ; Yang, Tainyu ; Dirksen, Sjoerd ; Rauhut, Holger ; Caire, Giuseppe:
New challenges in covariance estimation : multiple structures and coarse quantization.
Eichstätt : arXiv, 2021. - 26 S.

Caragea, Andrei ; Lee, Dae Gwan ; Maly, Johannes ; Pfander, Götz E.:
Quantitative approximation results for complex-valued neural networks.
Eichstätt : arXiv, 2021. - 19 S.
arxiv:2102.13092

Maly, Johannes:
Robust Sensing of Low-Rank Matrices with Non-Orthogonal Sparse Decomposition.
Eichstätt : arXiv, 2021. - 23 S.

Boßmann, Florian ; Krause-Solberg, Sara ; Maly, Johannes ; Sissouno, Nada:
Structural Sparsity in Multiple Measurements.
Eichstätt : arXiv, 2021. - 12 S.
10.48550/arXiv.2103.01908

Jung, Hans Christian ; Maly, Johannes ; Palzer, Lars ; Stollenwerk, Alexander:
Quantized Compressed Sensing by Rectified Linear Units.
In: IEEE transactions on information theory. 67 (2021) 6. - S. 4125-4149.
ISSN 0018-9448 ; 1557-9654
10.1109/TIT.2021.3070789
(Peer-Review-Journal)

Jung, Hans Christian ; Maly, Johannes ; Palzer, Lars ; Stollenwerk, Alexander:
Quantized Compressed Sensing by Rectified Linear Units.
In: Proceedings in applied mathematics and mechanics : PAMM. (2021).
ISSN 1617-7061
10.1002/pamm.202000015
(Peer-Review-Journal)

Chou, Hung-Hsu ; Gieshoff, Carsten ; Maly, Johannes ; Rauhut, Holger:
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank.
Eichstätt : arXiv, 2020. - 38 S.

Maly, Johannes ; Palzer, Lars:
Analysis of hard-thresholding for distributed compressed sensing with one-bit measurements.
In: Information and Inference : a Journal of the IMA. 9 (2020) 2. - S. 455-471.
ISSN 2049-8772 ; 2049-8764
10.1093/imaiai/iaz004
(Peer-Review-Journal)

Guth, Adrien ; Culotta-Lopéz, Cosme ; Maly, Johannes ; Rauhut, Holger ; Heberling, Dirk:
Polyhedral Sampling Structures for Phaseless Spherical Near-Field Antenna Measurements.
In: Proceedings of 2020 Antenna Measurement Techniques Association Symposium (AMTA). - Newport, RI, USA : IEEE, 2020
ISBN 978-1-7362351-0-2 ; 978-1-7281-9868-2
(Begutachteter Beitrag / peer-reviewed paper)

Dirksen, Sjoerd ; Iwen, Mark A. ; Krause-Solberg, Sara ; Maly, Johannes:
Robust One-bit Compressed Sensing With Manifold Data.
In: Proceedings of 2019 13th International conference on Sampling Theory and Applications (SampTA). - Bordeaux : IEEE, 2019
ISBN 978-1-7281-3741-4 ; 978-1-7281-3740-7
10.1109/SampTA45681.2019.9030809
(Begutachteter Beitrag / peer-reviewed paper)

Krause-Solberg, Sara ; Maly, Johannes:
A tractable approach for one-bit Compressed Sensing on manifolds.
In: Proceedings of 2017 International Conference on Sampling Theory and Applications (SampTA), Tallinn, Estonia. - Tallinn, Estonia : IEEE, 2017
ISBN 978-1-5386-1565-2 ; 978-1-5386-1564-5
10.1109/SAMPTA.2017.8024465
(Begutachteter Beitrag / peer-reviewed paper)