Transmission Neural Networks: From Virus Spread Models to Neural Networks. (arXiv:2208.03616v1 [cs.LG])

This work connects models for virus spread on networks with their equivalent
neural network representations. Based on this connection, we propose a new
neural network architecture, called Transmission Neural Networks (TransNNs)
where activation functions are primarily associated with links and are allowed
to have different activation levels. Furthermore, this connection leads to the
discovery and the derivation of three new activation functions with tunable or
trainable parameters. Moreover, we prove that TransNNs with a single hidden
layer and a fixed …

arxiv lg networks neural networks virus