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 | 117 | 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 | 26 | 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 | 20 | 2020 |

Block-sparse signal recovery from binary measurements N Koep, R Mathar 2018 IEEE Statistical Signal Processing Workshop (SSP), 293-297, 2018 | 3 | 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 | 2 | 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 | 2 | 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 | 2 | 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 | 1 | 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 | 1 | 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 | 1 | 2019 |

An Introduction to Compressed Sensing N Koep, A Behboodi, R Mathar Compressed Sensing and Its Applications, 1-65, 2019 | 1 | 2019 |

Pymanopt: A Python Toolbox for manifold optimization using automatic differentiation N Koep, S Weichwald arXiv preprint arXiv 1603, 2016 | 1 | 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 | | 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 | | 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 | | 2015 |