Vertex reconstruction of neutrino interactions using deep learning. - Adam M. Terwilliger; Gabriel N. Perdue; David Isele; Robert M. Patton; Steven R. Young (IJCNN, 2017)

Neuromorphic computing for temporal scientific data classification. - Catherine D. Schuman; Thomas E. Potok; Steven R. Young; Robert M. Patton; Gabriel N. Perdue; Gangotree Chakma; Austin Wyer; Garrett S. Rose (NCS, 2017)

Evolving Deep Networks Using HPC. - 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 (MLHPC@SC, 2017)

Machine Learning in High Energy Physics Community White Paper. - Kim Albertsson; Piero Altoe; Dustin Anderson; Michael Andrews; Juan Pedro Araque Espinosa; Adam Aurisano; Laurent Basara; Adrian Bevan; Wahid Bhimji; Daniele Bonacorsi; Paolo Calafiura; Mario Campanelli; et al. (CoRR, 2018)

Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data. - Linghao Song; Fan Chen 001; Steven R. Young; Catherine D. Schuman; Gabriel N. Perdue; Thomas E. Potok (ICASSP, 2019)

Inferring Convolutional Neural Networks' Accuracies from Their Architectural Characterizations. - Duc Hoang; Jesse Hamer; Gabriel N. Perdue; Steven R. Young; Jonathan A. Miller; Anushree Ghosh (ICMLA, 2019)

Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan". - James F. Amundson; James Annis; Camille Avestruz; D. Bowring; João Caldeira; Giuseppe Cerati; Chihway L. Chang; Scott Dodelson; D. Elvira; A. Farahi; Krzysztof L. Genser; Lindsey Gray; et al. (CoRR, 2019)

Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer. - João Caldeira; Joshua A. Job; Steven H. Adachi; Brian Nord; Gabriel N. Perdue (CoRR, 2019)

Domain adaptation techniques for improved cross-domain study of galaxy mergers. - Aleksandra Ciprijanovic; Diana Kafkes; S. Jenkins; K. Downey; Gabriel N. Perdue; Sandeep Madireddy; T. Johnston; Brian Nord (CoRR, 2020)

DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains. - Aleksandra Ciprijanovic; Diana Kafkes; K. Downey; S. Jenkins; Gabriel N. Perdue; Sandeep Madireddy; T. Johnston; Gregory F. Snyder; Brian Nord (CoRR, 2021)

Robustness of deep learning algorithms in astronomy - galaxy morphology studies. - Aleksandra Ciprijanovic; Diana Kafkes; Gabriel N. Perdue; Kevin Pedro; Gregory F. Snyder; F. Javier Sánchez; Sandeep Madireddy; Stefan M. Wild; Brian Nord (CoRR, 2021)

Quantum machine learning in high energy physics. - Wen Guan; Gabriel N. Perdue; Arthur Pesah; Maria Schuld; Koji Terashi; Sofia Vallecorsa; Jean-Roch Vlimant (Mach. Learn. Sci. Technol., 2021)

Neural network accelerator for quantum control. - David Xu 008; A. Baris Özgüler; Giuseppe Di Guglielmo; Nhan Tran; Gabriel N. Perdue; Luca P. Carloni; Farah Fahim (CoRR, 2022)

Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection. - Aleksandra Ciprijanovic; Ashia Lewis; Kevin Pedro; Sandeep Madireddy; Brian Nord; Gabriel N. Perdue; Stefan M. Wild (CoRR, 2022)

DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification. - Aleksandra Ciprijanovic; Diana Kafkes; Gregory F. Snyder; F. Javier Sánchez; Gabriel Nathan Perdue; Kevin Pedro; Brian Nord; Sandeep Madireddy; Stefan M. Wild (Mach. Learn. Sci. Technol., 2022)

Artificial Intelligence for the Electron Ion Collider (AI4EIC). - C. Allaire; R. Ammendola; E.-C. Aschenauer; M. Balandat; Marco Battaglieri; J. C. Bernauer; M. Bondì; N. Branson; Thomas Britton; Anja Butter; I. Chahrour; P. Chatagnon; et al. (CoRR, 2023)

DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection. - Aleksandra Ciprijanovic; Ashia Lewis; Kevin Pedro; Sandeep Madireddy; Brian Nord; Gabriel N. Perdue; Stefan M. Wild (Mach. Learn. Sci. Technol., 2023)

Confinement and Kink Entanglement Asymmetry on a Quantum Ising Chain. - Brian J. J. Khor; Doga Murat Kürkçüoglu; T. J. Hobbs; Gabriel N. Perdue; Israel Klich (Quantum, 2024)

Quantum circuit fidelity estimation using machine learning. - Avi Vadali; Rutuja Kshirsagar; Prasanth Shyamsundar; Gabriel N. Perdue (Quantum Mach. Intell., 2024)

Artificial Intelligence for the Electron Ion Collider (AI4EIC). - C. Allaire; R. Ammendola; E.-C. Aschenauer; M. Balandat; Marco Battaglieri; J. C. Bernauer; M. Bondì; N. Branson; T. Britton; Anja Butter; I. Chahrour; P. Chatagnon; et al. (Comput. Softw. Big Sci., 2024)

End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml. - Giuseppe Di Guglielmo; Botao Du; Javier Campos; Alexandra Boltasseva; Akash V. Dixit; Farah Fahim; Zhaxylyk Kudyshev; Santiago Lopez; Ruichao Ma; Gabriel N. Perdue; Nhan Tran; Omer Yesilyurt; et al. (CoRR, 2025)

Machine learning for arbitrary single-qubit rotations on an embedded device. - Madhav Narayan Bhat; Marco Russo; Luca P. Carloni; Giuseppe Di Guglielmo; Farah Fahim; Andy C. Y. Li; Gabriel N. Perdue (Quantum Mach. Intell., 2025)