Artificial neural networks can learn complex, salient data features to
a...
Properties such as composability and automatic differentiation made
arti...
We provide a unifying framework where artificial neural networks and the...
Generalised persistence functions (gp-functions) are defined on (ℝ,
≤)-i...
Using tools from category theory, we provide a framework where artificia...
Persistence has proved to be a valuable tool to analyze real world data
...
The aim of this paper is to provide a general mathematical framework for...
Our understanding of collective animal behavior is limited by our abilit...