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Center for Computing Research

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Publication	Type	Year
Using Deep Neural Networks to Predict Material Types in Conditional Point Sampling Applied to Markovian Mixture Models American Nuclear Society Mathematics & Computation (M&C) 2021 Warren Leon Davis IV, Aaron Jeffrey Olson, Gabriel ANUOLUWAPO Popoola, Dan Stefan Bolintineanu, Theron Rodgers, Emily Vu	Conference Presentation – 2021 Conference Presentation	2021
Accelerating Finite-Temperature Kohn-Sham Density Functional Theory with Deep Neural Networks Austin Ellis, Lenz Fielder, Gabriel ANUOLUWAPO Popoola, Normand A. Modine, John Adam Stephens, Aidan P. Thompson, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1817970	Report – 2021 Report	2021
Using Deep Neural Networks to Predict Material Types in Conditional Point Sampling Applied to Markovian Mixture Models The International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2021) Warren Leon Davis IV, Aaron Jeffrey Olson, Gabriel ANUOLUWAPO Popoola, Dan Stefan Bolintineanu, Theron Rodgers, Emily Vu https://www.osti.gov/search/identifier:1847481	Conference Paper – 2021 Conference Paper	2021
Measuring and Extracting Activity from Time Series Data David John Stracuzzi, Matthew Gregor Peterson, Gabriel ANUOLUWAPO Popoola https://www.osti.gov/search/identifier:1673451	SAND Report – 2020 SAND Report	2020
In-Situ Machine Learning for Intelligent Data Capture for Exascale Platforms Machine Learning and Deep Learning Conference 2020 Gabriel ANUOLUWAPO Popoola https://www.osti.gov/search/identifier:1811989	Conference Paper – 2020 Conference Paper	2020
Using Anomaly Detection for Activity Identification CoDA 2020 Gabriel ANUOLUWAPO Popoola, Matthew Gregor Peterson, David John Stracuzzi	Conference Paper – 2020 Conference Paper	2020
Using Unsupervised Anomaly Detection for Data Reduction in Temporal and Spatial Data BioXFEL 2020 Gabriel ANUOLUWAPO Popoola, Warren Leon Davis, Timothy Malcolm Shead, Corey Graves https://www.osti.gov/search/identifier:1763159	Conference Paper – 2020 Conference Paper	2020
In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms Artificial Intelligence for Robust Engineering & Science Warren Leon Davis IV, Timothy Malcolm Shead, Hemanth Kolla, Kevin Reed, William Philip Kegelmeyer, Gabriel ANUOLUWAPO Popoola https://www.osti.gov/search/identifier:1762271	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
Using Anomaly Detection for Activity Identification CoDA 2020 Gabriel ANUOLUWAPO Popoola, David John Stracuzzi, Matthew Gregor Peterson	Abstract – 2020 Abstract	2020
The Potential of Integrated Machine Learning Algorithms for Tropical Cyclone Detection in Advanced Climate Modeling American Geophysical Union Fall Conference 2019 Warren Leon Davis IV, Timothy M. Shead, Hemanth Kolla, Gabriel ANUOLUWAPO Popoola, William Philip Kegelmeyer, Aditya Konduri https://www.osti.gov/search/identifier:1643419	Conference Paper – 2019 Conference Paper	2019
In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms 2019 Cis Erb Warren Leon Davis, Timothy Malcolm Shead, Hemanth Kolla, William Philip Kegelmeyer, Gabriel ANUOLUWAPO Popoola, Kevin Reed https://www.osti.gov/search/identifier:1645860	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
The Potential of In-Situ Machine Learning Algorithms for Tropical Cyclone Detection in Advanced Climate Modeling American Geophysical Union Fall Meeting 2019 Warren Leon Davis, Kevin Reed, Timothy Malcolm Shead, Hemanth Kolla, Gabriel ANUOLUWAPO Popoola, William Philip Kegelmeyer, Aditya Konduri, Julia Ling	Abstract – 2019 Abstract	2019
A Framework for In-Situ Anomaly Detection in HPC Environments Ldav 2019 Timothy Malcolm Shead, Daniel Dunlavy, Hemanth Kolla, Aditya Konduri, Gabriel ANUOLUWAPO Popoola, Warren Leon Davis, William Philip Kegelmeyer, Kevin Reed, Julia Ling https://www.osti.gov/search/identifier:1640853	Conference Paper – 2019 Conference Paper	2019
A neurally inspired spiking temporal processing unit computational architecture Society for Neuroscience 2016 meeting Craig Michael Vineyard, James Bradley Aimone, Michael Reed Smith, Stephen Joseph Verzi, Gabriel ANUOLUWAPO Popoola, Felix Wang, Jonathon W. Donaldson, Pamela Follett, David Follett, Conrad D. James, John H. Naegle	Abstract – 2016 Abstract	2016
A neurally inspired spiking temporal processing unit architecture Society for Neuroscience 2016 meeting Craig Michael Vineyard, James Bradley Aimone, Michael Reed Smith, Stephen Joseph Verzi, Gabriel ANUOLUWAPO Popoola, Felix Wang, Jonathon W. Donaldson, Pamela Follett, David Follett, Conrad D. James, John H. Naegle	Abstract – 2016 Abstract	2016
Document Title	Type	Year