Ariel Keller Rorabaugh

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 6

Top Topics

Protein Classification

Electron Beam Lithography

Intelligent Search

Scientific Data

Top Venues

Australas. J Comb.

Publications

Georgia Channing, Ria Patel, Paula Olaya, Ariel Keller Rorabaugh, Osamu Miyashita, Silvina Caíno-Lores, Catherine D. Schuman, Florence Tama, Michela Taufer
Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification. ICPP (2023)
Ariel Keller Rorabaugh, Silvina Caíno-Lores, Travis Johnston, Michela Taufer
Building High-Throughput Neural Architecture Search Workflows via a Decoupled Fitness Prediction Engine. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Paula Olaya, Silvina Caíno-Lores, Vanessa Lama, Ria Patel, Ariel Keller Rorabaugh, Osamu Miyashita, Florence Tama, Michela Taufer
Identifying Structural Properties of Proteins from X-ray Free Electron Laser Diffraction Patterns. e-Science (2022)
Ria Patel, Ariel Keller Rorabaugh, Paula Olaya, Silvina Caíno-Lores, Georgia Channing, Catherine D. Schuman, Osamu Miyashita, Florence Tama, Michela Taufer
A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets. e-Science (2022)
Ariel Keller Rorabaugh, Silvina Caíno-Lores, Michael R. Wyatt II, Travis Johnston, Michela Taufer
PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search. CoRR (2021)
Ronald J. Gould, Kazuhide Hirohata, Ariel Keller Rorabaugh
On independent triples and vertex-disjoint chorded cycles in graphs. Australas. J Comb. 77 (2020)