J. Travis Johnston

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 12

Top Topics

Weakly Supervised

Relation Algebra

Convolutional Neural Networks

Top Venues

Electron. J. Comb.

Publications

Maryam Parsa, Catherine D. Schuman, Nitin Rathi, Amirkoushyar Ziabari, Derek C. Rose, J. Parker Mitchell, J. Travis Johnston, Bill Kay, Steven R. Young, Kaushik Roy
Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach. ICONS (2021)
Catherine D. Schuman, Steven R. Young, J. Parker Mitchell, J. Travis Johnston, Derek C. Rose, Bryan P. Maldonado, Brian C. Kaul
Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency. IGSC (Workshops) (2020)
Catherine D. Schuman, J. Parker Mitchell, J. Travis Johnston, Maryam Parsa, Bill Kay, Prasanna Date, Robert M. Patton
Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems. IJCNN (2020)
Robert M. Patton, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou
Exascale Deep Learning to Accelerate Cancer Research. IEEE BigData (2019)
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 H. Saltz
Exascale Deep Learning to Accelerate Cancer Research. CoRR (2019)
David E. Womble, Mallikarjun Shankar, Wayne Joubert, J. Travis Johnston, Jack C. Wells, Jeffrey A. Nichols
Early experiences on Summit: Data analytics and AI applications. IBM J. Res. Dev. 63 (6) (2019)
Steven R. Young, Pravallika Devineni, Maryam Parsa, J. Travis Johnston, Bill Kay, Robert M. Patton, Catherine D. Schuman, Derek C. Rose, Thomas E. Potok
Evolving Energy Efficient Convolutional Neural Networks. IEEE BigData (2019)
Junghoon Chae, Catherine D. Schuman, Steven R. Young, J. Travis Johnston, Derek C. Rose, Robert M. Patton, Thomas E. Potok
Visualization System for Evolutionary Neural Networks for Deep Learning. IEEE BigData (2019)
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, Sergei V. Kalinin
167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation. SC (2018)
Steven R. Young, Derek C. Rose, J. Travis Johnston, William T. Heller, Thomas P. Karnowski, Thomas E. Potok, Robert M. Patton, Gabriel N. Perdue, Jonathan A. Miller
Evolving Deep Networks Using HPC. MLHPC@SC (2017)
J. Travis Johnston, Steven R. Young, David Hughes, Robert M. Patton, Devin White
Optimizing Convolutional Neural Networks for Cloud Detection. MLHPC@SC (2017)
J. Travis Johnston, Linyuan Lu, Kevin G. Milans
Boolean algebras and Lubell functions. J. Comb. Theory, Ser. A 136 (2015)
J. Travis Johnston, Linyuan Lu
Turán Problems on Non-Uniform Hypergraphs. Electron. J. Comb. 21 (4) (2014)