Volterra Neural Networks (VNNs)

@inproceedings{Roheda2019VolterraNN,
  title={Volterra Neural Networks (VNNs)},
  author={Siddharth Roheda and Hamid Krim},
  year={2019}
}
The importance of inference in Machine Learning (ML) has led to an explosive number of different proposals, particularly in Deep Learning. In an attempt to reduce the complexity of Convolutional Neural Networks, we propose a Volterra filter-inspired Network architecture. This architecture introduces controlled non-linearities in the form of interactions between the delayed input samples of data. We propose a cascaded implementation of Volterra Filtering so as to significantly reduce the number… 

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