5 citations · 9 across the 8 of their papers we have counts for
4 papers · 1 filter
PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors
Ruixuan Wang, Fred Lin, Daniel Moore +2
Graph neural networks (GNNs) have recently emerged as a promising learning paradigm in learning graph-structured data and have demonstrated wide success across various domains such…
Automated Architecture Search for Brain-inspired Hyperdimensional Computing
Junhuan Yang, Yi Sheng, Sizhe Zhang +6
This paper represents the first effort to explore an automated architecture search for hyperdimensional computing (HDC), a type of brain-inspired neural network. Currently, HDC des…
Deep Learning Based Walking Tasks Classification in Older Adults using fNIRS
Dongning Ma, Meltem Izzetoglu, Roee Holtzer +1
Decline in gait features is common in older adults and an indicator of increased risk of disability, morbidity, and mortality. Under dual task walking (DTW) conditions, further deg…
AMITE: A Novel Polynomial Expansion for Analyzing Neural Network Nonlinearities
Mauro J. Sanchirico, Xun Jiao, C. Nataraj
Polynomial expansions are important in the analysis of neural network nonlinearities. They have been applied thereto addressing well-known difficulties in verification, explainabil…