This is a (periodically) updated list of publications.
Authors marked with * were students I was mentoring at the time of publication.

2019

Exascale Deep Learning to Accelerate Cancer Research

Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou, Shahira Abousamra, Dimitris Samaras, Joel Saltz. Read the full paper and cite it.

A Novel Pruning Method for Convolutional Neural Networks Based off Identifying Critical Filters

Best Student Paper, ML/AI Track
Phil Andrews award winner for most transformative contribution
Mihaela Dimovska* and Travis Johnston.
Read the full paper and cite it.

2018

167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation

Gordon Bell Finalist, SC18
Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Don D. March, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Thomas P. Karnowski, Maxim A. Ziatdinov, and Sergei V. Kalinin.
Read the full paper and cite it.

2017

Optimizing Convolutional Neural Networks for Cloud Detection

Travis Johnston, Steven R. Young, David Hughes, Robert M. Patton, and Devin White.
Read the full paper and cite it.

Evolving Deep Networks Using HPC

Steven R. Young, Derek C. Rose, Travis Johnston, William T. Heller, Thomas P. Karnowski, Thomas E. Potok, Robert M. Patton, Gabriel Perdue, and Jonathan Miller.
Read the full paper and cite it.

2016

2015

Boolean Algebras and Lubell Functions

Travis Johnston, Linyuan Lu, and Kevin G. Milans.
Read the full paper and cite it.
Note, a draft of the paper was published on the arXiv in 2013.

2014

Turan Problems on Non-Uniform Hypergraphs

Travis Johnston, and Linyuan Lu.
Read the full paper and cite it.
Note, a draft of the paper was published on the arXiv in 2013.