Koep, Niklas

3 publications

AISTATS 2020 Adversarial Risk Bounds Through Sparsity Based Compression Emilio Balda, Niklas Koep, Arash Behboodi, Rudolf Mathar

MLOSS 2020 Geomstats: A Python Package for Riemannian Geometry in Machine Learning Nina Miolane, Nicolas Guigui, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Daniel Brooks, Bernhard Kainz, Claire Donnat, Susan Holmes, Xavier Pennec

JMLR 2016 Pymanopt: A Python Toolbox for Optimization on Manifolds Using Automatic Differentiation James Townsend, Niklas Koep, Sebastian Weichwald