2 citations · 2 across the 4 of their papers we have counts for
5 papers
Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data
Rafael Vescovi, Hanyu Li, Jeffery Kinnison +5
We present a fully modular and scalable software pipeline for processing electron microscope (EM) images of brain slices into 3D visualization of individual neurons and demonstrate…
Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation
Kenton Murray, Jeffery Kinnison, Toan Q. Nguyen +2
Neural sequence-to-sequence models, particularly the Transformer, are the state of the art in machine translation. Yet these neural networks are very sensitive to architecture and…
Learning-Free Iris Segmentation Revisited: A First Step Toward Fast Volumetric Operation Over Video Samples
Jeffery Kinnison, Mateusz Trokielewicz, Camila Carballo +2
Subject matching performance in iris biometrics is contingent upon fast, high-quality iris segmentation. In many cases, iris biometrics acquisition equipment takes a number of imag…
A Neurobiological Evaluation Metric for Neural Network Model Search
Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster +2
Neuroscience theory posits that the brain's visual system coarsely identifies broad object categories via neural activation patterns, with similar objects producing similar neural…
SHADHO: Massively Scalable Hardware-Aware Distributed Hyperparameter Optimization
Jeff Kinnison, Nathaniel Kremer-Herman, Douglas Thain +1
Computer vision is experiencing an AI renaissance, in which machine learning models are expediting important breakthroughs in academic research and commercial applications. Effecti…