On independent triples and vertex-disjoint chorded cycles in graphs. - Ronald J. Gould; Kazuhide Hirohata; Ariel Keller Rorabaugh (Australas. J Comb., 2020)

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)

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 (e-Science, 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 (e-Science, 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)

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 (ICPP, 2023)