Niklas Koep
Cited by
Cited by
Pymanopt: A python toolbox for optimization on manifolds using automatic differentiation
J Townsend, N Koep, S Weichwald
The Journal of Machine Learning Research 17 (1), 4755-4759, 2016
Compressed sensing applied to spherical near-field to far-field transformation
R Cornelius, D Heberling, N Koep, A Behboodi, R Mathar
2016 10th European Conference on Antennas and Propagation (EuCAP), 1-4, 2016
Geomstats: A Python Package for Riemannian Geometry in Machine Learning
N Miolane, N Guigui, A Le Brigant, J Mathe, B Hou, Y Thanwerdas, ...
Journal of Machine Learning Research 21 (223), 1-9, 2020
Block-sparse signal recovery from binary measurements
N Koep, R Mathar
2018 IEEE Statistical Signal Processing Workshop (SSP), 293-297, 2018
Adversarial Risk Bounds for Neural Networks through Sparsity based Compression
ER Balda, A Behboodi, N Koep, R Mathar
arXiv preprint arXiv:1906.00698, 2019
The Restricted Isometry Property of Block Diagonal Matrices for Group-Sparse Signal Recovery
N Koep, A Behboodi, R Mathar
arXiv preprint arXiv:1901.06214, 2019
Binary iterative hard thresholding for frequency-sparse signal recovery
N Koep, R Mathar
WSA 2017; 21th International ITG Workshop on Smart Antennas, 1-7, 2017
Introduction to Geometric Learning in Python with Geomstats
N Miolane, N Guigui, H Zaatiti, C Shewmake, H Hajri, D Brooks, ...
Proceedings of the 19th Python in Science Conference 2020, 2020
Adversarial Risk Bounds through Sparsity based Compression
E Balda, N Koep, A Behboodi, R Mathar
International Conference on Artificial Intelligence and Statistics, 3816-3825, 2020
Efficient Implementation of Density Evolution for Punctured Polar Codes
C Schnelling, M Rothe, N Koep, R Mathar, A Schmeink
IEEE Access 7, 105909-105921, 2019
An Introduction to Compressed Sensing
N Koep, A Behboodi, R Mathar
Compressed Sensing and Its Applications, 1-65, 2019
Pymanopt: A Python Toolbox for manifold optimization using automatic differentiation
N Koep, S Weichwald
arXiv preprint arXiv 1603, 2016
The Group Restricted Isometry Property for Subgaussian Block Diagonal Matrices
N Koep, A Behboodi, R Mathar
2019 IEEE International Symposium on Information Theory (ISIT), 2694-2698, 2019
Performance Analysis of One-bit Group-sparse Signal Reconstruction
N Koep, A Behboodi, R Mathar
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Noise-shaping for closed-loop Multi-Channel Linear Prediction
N Koep, M Schäfer, P Vary
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
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