AI RESEARCH
KVNN: Learnable Multi-Kernel Volterra Neural Networks
arXiv CS.CV
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ArXi:2604.15141v1 Announce Type: new Higher-order learning is fundamentally rooted in exploiting compositional features. It clearly hinges on enriching the representation by elaborate interactions of the data which, in turn, tends to increase the model complexity of conventional large-scale deep learning models. In this paper, a kernelized Volterra Neural Network (kVNN) is proposed.