363 citations · 455 across the 10 of their papers we have counts for
3 papers · 1 filter
Adiabatic Quantum Linear Regression
Prasanna Date, Thomas Potok
A major challenge in machine learning is the computational expense of training these models. Model training can be viewed as a form of optimization used to fit a machine learning m…
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment
Maryam Parsa, Catherine D. Schuman, Prasanna Date +8
Training neural networks for neuromorphic deployment is non-trivial. There have been a variety of approaches proposed to adapt back-propagation or back-propagation-like algorithms…
Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks
Mihaela Dimovska, Travis Johnston, Catherine D. Schuman +2
Inspired by the connectivity mechanisms in the brain, neuromorphic computing architectures model Spiking Neural Networks (SNNs) in silicon. As such, neuromorphic architectures are…