84 citations · 277 across the 25 of their papers we have counts for
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cs.LG2023★ 1 cited
Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness
Carsten Hartmann, Lorenz Richter
The recent advances in machine learning in various fields of applications can be largely attributed to the rise of deep learning (DL) methods and architectures. Despite being a key…
cs.LG2017★ 9 cited
Learning Inverse Statics Models Efficiently
Rania Rayyes, Daniel Kubus, Carsten Hartmann +1
Online Goal Babbling and Direction Sampling are recently proposed methods for direct learning of inverse kinematics mappings from scratch even in high-dimensional sensorimotor spac…