Noise-shaping for closed-loop Multi-Channel Linear Prediction. - Niklas Koep; Magnus Schaefer; Peter Vary (ICASSP, 2015)

Pymanopt: A Python Toolbox for Manifold Optimization using Automatic Differentiation. - James Townsend; Niklas Koep; Sebastian Weichwald (CoRR, 2016)

Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation. - James Townsend; Niklas Koep; Sebastian Weichwald (J. Mach. Learn. Res., 2016)

Binary Iterative Hard Thresholding for Frequency-Sparse Signal Recovery. - Niklas Koep; Rudolf Mathar (WSA, 2017)

Block-Sparse Signal Recovery From Binary Measurements. - Niklas Koep; Rudolf Mathar (SSP, 2018)

Performance Analysis of One-bit Group-sparse Signal Reconstruction. - Niklas Koep; Arash Behboodi; Rudolf Mathar (ICASSP, 2019)

The Group Restricted Isometry Property for Subgaussian Block Diagonal Matrices. - Niklas Koep; Arash Behboodi; Rudolf Mathar (ISIT, 2019)

Efficient Implementation of Density Evolution for Punctured Polar Codes. - Christopher Schnelling; Markus Rothe; Niklas Koep; Rudolf Mathar; Anke Schmeink (IEEE Access, 2019)

The Restricted Isometry Property of Block Diagonal Matrices for Group-Sparse Signal Recovery. - Niklas Koep; Arash Behboodi; Rudolf Mathar (CoRR, 2019)

Adversarial Risk Bounds for Neural Networks through Sparsity based Compression. - Emilio Rafael Balda; Arash Behboodi; Niklas Koep; Rudolf Mathar (CoRR, 2019)

Adversarial Risk Bounds through Sparsity based Compression. - Emilio Rafael Balda; Niklas Koep; Arash Behboodi; Rudolf Mathar (AISTATS, 2020)

Introduction to Geometric Learning in Python with Geomstats. - Nina Miolane; Nicolas Guigui; Hadi Zaatiti; Christian Shewmake; Hatem Hajri; Daniel Brooks; Alice Le Brigant; Johan Mathe; Benjamin Hou; Yann Thanwerdas; Stefan Heyder; Olivier Peltre; et al. (SciPy, 2020)

Geomstats: A Python Package for Riemannian Geometry in Machine Learning. - Nina Miolane; Alice Le Brigant; Johan Mathe; Benjamin Hou; Nicolas Guigui; Yann Thanwerdas; Stefan Heyder; Olivier Peltre; Niklas Koep; Hadi Zaatiti; Hatem Hajri; Yann Cabanes; et al. (CoRR, 2020)