9 citations · 9 across the 2 of their papers we have counts for
3 papers
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption
Matthias Mitterreiter, Marcel Koch, Joachim Giesen +1
Capsule neural networks replace simple, scalar-valued neurons with vector-valued capsules. They are motivated by the pattern recognition system in the human brain, where complex ob…
A Simple and Efficient Tensor Calculus for Machine Learning
Sören Laue, Matthias Mitterreiter, Joachim Giesen
Computing derivatives of tensor expressions, also known as tensor calculus, is a fundamental task in machine learning. A key concern is the efficiency of evaluating the expressions…
GENO -- GENeric Optimization for Classical Machine Learning
Sören Laue, Matthias Mitterreiter, Joachim Giesen
Although optimization is the longstanding algorithmic backbone of machine learning, new models still require the time-consuming implementation of new solvers. As a result, there ar…