2 citations · 2 across the 4 of their papers we have counts for
4 papers
Synaptic Sampling of Neural Networks
James B. Aimone, William Severa, J. Darby Smith
Probabilistic artificial neural networks offer intriguing prospects for enabling the uncertainty of artificial intelligence methods to be described explicitly in their function; ho…
Induced Distributions from Generalized Unfair Dice
Douglas T. Pfeffer, J. Darby Smith, William Severa
In this paper we analyze the probability distributions associated with rolling (possibly unfair) dice infinitely often. Specifically, given a -sided die, if $x_i\in\{0,\ldots,q-…
Random Bitstream Generation using Voltage-Controlled Magnetic Anisotropy and Spin Orbit Torque Magnetic Tunnel Junctions
Samuel Liu, Jaesuk Kwon, Paul W. Bessler +6
Probabilistic computing using random number generators (RNGs) can leverage the inherent stochasticity of nanodevices for system-level benefits. The magnetic tunnel junction (MTJ) h…
Solving a steady-state PDE using spiking networks and neuromorphic hardware
J. Darby Smith, William Severa, Aaron J. Hill +5
The widely parallel, spiking neural networks of neuromorphic processors can enable computationally powerful formulations. While recent interest has focused on primarily machine lea…