Auralee Edelen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Gaussian Process

Top Venues

Mach. Learn. Sci. Technol.

Publications

Sara A. Miskovich, Willie Neiswanger, William Colocho, Claudio Emma, Jacqueline Garrahan, Timothy Maxwell, Christopher Mayes, Stefano Ermon, Auralee Edelen, Daniel Ratner
Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives. Mach. Learn. Sci. Technol. 5 (1) (2024)
Sara A. Miskovich, Willie Neiswanger, William Colocho, Claudio Emma, Jacqueline Garrahan, Timothy Maxwell, Christopher Mayes, Stefano Ermon, Auralee Edelen, Daniel Ratner
Bayesian Algorithm Execution for Tuning Particle Accelerator Emittance with Partial Measurements. CoRR (2022)
Auralee Edelen, Christopher Mayes
Neural Network Solver for Coherent Synchrotron Radiation Wakefield Calculations in Accelerator-based Charged Particle Beams. CoRR (2022)
Lipi Gupta, Auralee Edelen, Nicole Neveu, Aashwin Mishra, Christopher Mayes, Youngkee Kim
Improving surrogate model accuracy for the LCLS-II injector frontend using convolutional neural networks and transfer learning. Mach. Learn. Sci. Technol. 2 (4) (2021)
Claudio Emma, Auralee Edelen, Adi Hanuka, Brendan O'Shea, Alexander Scheinker
Virtual Diagnostic Suite for Electron Beam Prediction and Control at FACET-II. Inf. 12 (2) (2021)
Adi Hanuka, Xiaobiao Huang, Jane Shtalenkova, Dylan Kennedy, Auralee Edelen, V. R. Lalchand, Daniel Ratner, Joseph Duris
Physics-informed Gaussian Process for Online Optimization of Particle Accelerators. CoRR (2020)
Faya Wang, Minghao Song, Auralee Edelen, Xiaobiao Huang
Machine learning for design optimization of storage ring nonlinear dynamics. CoRR (2019)
Adi Hanuka, Joseph Duris, Jane Shtalenkova, Dylan Kennedy, Auralee Edelen, Daniel Ratner, Xiaobiao Huang
Online tuning and light source control using a physics-informed Gaussian process Adi. CoRR (2019)