Ariel Keller Rorabaugh

According to our database, Ariel Keller Rorabaugh authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2023

Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification.

Georgia Channing, Ria Patel, Paula Olaya, Ariel Keller Rorabaugh, Osamu Miyashita, Silvina Caíno-Lores, Catherine D. Schuman, Florence Tama, Michela Taufer

Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022

Building High-Throughput Neural Architecture Search Workflows via a Decoupled Fitness Prediction Engine.

Ariel Keller Rorabaugh, Silvina Caíno-Lores, Travis Johnston, Michela Taufer

IEEE Trans. Parallel Distributed Syst., 2022

A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets.

Ria Patel, Ariel Keller Rorabaugh, Paula Olaya, Silvina Caíno-Lores, Georgia Channing, Catherine D. Schuman, Osamu Miyashita, Florence Tama, Michela Taufer

Proceedings of the 18th IEEE International Conference on e-Science, 2022

Identifying Structural Properties of Proteins from X-ray Free Electron Laser Diffraction Patterns.

Paula Olaya, Silvina Caíno-Lores, Vanessa Lama, Ria Patel, Ariel Keller Rorabaugh, Osamu Miyashita, Florence Tama, Michela Taufer

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search.

Ariel Keller Rorabaugh, Silvina Caíno-Lores, Michael R. Wyatt II, Travis Johnston, Michela Taufer

CoRR, 2021

2020

On independent triples and vertex-disjoint chorded cycles in graphs.

Ronald J. Gould, Kazuhide Hirohata, Ariel Keller Rorabaugh

Australas. J Comb., 2020