Publications by authors named "Ryan Roussel"

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Deployment and validation of predictive 6-dimensional beam diagnostics through generative reconstruction with standard accelerator elements.
Seongyeol Kim, Juan Pablo Gonzalez-Aguilera, Ryan Roussel, Gyujin Kim, Auralee Edelen

Sci Rep· December 2025

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Leveraging prior mean models for faster Bayesian optimization of particle accelerators.
Tobias Boltz, Jose L Martinez, Connie Xu, Kathryn R L Baker, Zihan Zhu, Ryan Roussel

Sci Rep· April 2025

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Multi-objective Bayesian active learning for MeV-ultrafast electron diffraction.
Fuhao Ji, Auralee Edelen, Ryan Roussel, Xiaozhe Shen, Sara Miskovich

Nat Commun· June 2024

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Turn-key constrained parameter space exploration for particle accelerators using Bayesian active learning.
Ryan Roussel, Juan Pablo Gonzalez-Aguilera, Young-Kee Kim, Eric Wisniewski, Wanming Liu

Nat Commun· September 2021

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