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Distance Preserving Machine Learning for Uncertainty Aware Accelerator
  Capacitance Predictions

Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions

5 July 2023
S. Goldenberg
M. Schram
Kishansingh Rajput
T. Britton
C. Pappas
Dawei Lu
Jared Walden
M. Radaideh
Sarah Cousineau
S. Harave
ArXivPDFHTML

Papers citing "Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions"

2 / 2 papers shown
Title
Robust Errant Beam Prognostics with Conditional Modeling for Particle
  Accelerators
Robust Errant Beam Prognostics with Conditional Modeling for Particle Accelerators
Kishansingh Rajput
Malachi Schram
Willem Blokland
Yasir Alanazi
Pradeep Ramuhalli
Alexander Zhukov
Charles Peters
Ricardo Vilalta
11
5
0
22 Nov 2023
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1