L. Andrea Dunbar — accepted AI-conference papers

2022

Optimizing The Consumption Of Spiking Neural Networks With Activity Regularization

Simon Narduzzi, Siavash Arjomand Bigdeli, Shih-Chii Liu, L. Andrea Dunbar

ICASSP 2022accepted

Reducing energy consumption is a critical point for neural network models running on edge devices. In this regard, reducing the number of multiply-accumulate (MAC) operations of Deep Neural Networks (DNNs) running on edge hardware accelerators will reduce the energy consumption during inference. Spi…

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2020

Efficient Neural Vision Systems Based on Convolutional Image Acquisition

Pedram Pad, Simon Narduzzi, Clement Kundig, Engin Turetken, Siavash A. Bigdeli, L. Andrea Dunbar

CVPR 2020oral

Despite the substantial progress made in deep learning in recent years, advanced approaches remain computationally intensive. The trade-off between accuracy and computation time and energy limits their use in real-time applications on low power and other resource-constrained systems. In this paper,…

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