In recent years, machine learning techniques based on neural networks for mobile computing become increasingly popular. Classical multi-layer neural networks require matrix multiplications at eachâ€¦ (More)

In this paper, we propose a new energy efficient neural network with the universal approximation property over space of Lebesgue integrable functions. This network, called additive neural network, isâ€¦ (More)

2018 IEEE International Conference on Acousticsâ€¦

2018

We present a non-Euclidean vector product for artificial neural networks. The vector product operator does not require any multiplications while providing correlation information between two vectors.â€¦ (More)

We consider two non-convex formulations for computing the optimal constant in the BrascampLieb inequality corresponding to a given datum and show that they are geodesically log-concave on theâ€¦ (More)

Functional Magnetic Resonance Imaging (fMRI) methods produce high dimensional representation of cognitive processes under heavy noise due to the limitations of hardware and measurement techniques. Inâ€¦ (More)