[Invited Talk 08.06.2018] Grosu
Contact
Director
Prof. Dr. Ernst-Rüdiger Olderog
Coordinator
Ira Wempe
[Invited Talk 08.06.2018] Grosu
Explainable Recurrent Neural Networks: Modeling, Learning & Verification
Prof. Dr. Radu Grosu, TU Wien
Abstract:
We introduce a new type of recurrent neural networks (RNNs) 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 rich trove of neural policies developed by nature through billions of years of evolution. We show how to model with WormNets and learn their parameters, or even learn the WormNets from scratch, without considerable penalty, by using state-of-the-art RNN learning techniques. We also discuss how to verify WormNets.