2 papers
cs.LG2022
Origami in N dimensions: How feed-forward networks manufacture linear separability
Christian Keup, Moritz Helias
Neural networks can implement arbitrary functions. But, mechanistically, what are the tools at their disposal to construct the target? For classification tasks, the network must tr…
cond-mat.dis-nn2020
Unfolding recurrence by Green's functions for optimized reservoir computing
Sandra Nestler, Christian Keup, David Dahmen +3
Cortical networks are strongly recurrent, and neurons have intrinsic temporal dynamics. This sets them apart from deep feed-forward networks. Despite the tremendous progress in the…