Radu Grosu, TU Wien. Towards Explainable RNNs: Modeling, Learning and Verification
ABSTRACT: We introduce a new type of recurrent neural networks which we call WormNets, as they were inspired by a biophysical model for neurons and synapses in the C. Elegans worm. WormNets are interpretable, smaller in size, and more robust to noise attacks when compared to classic RNNs. They can also take advantage of the…
