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Online tuning and light source control using a physics-informed Gaussian
  process Adi

Online tuning and light source control using a physics-informed Gaussian process Adi

4 November 2019
A. Hanuka
J. Duris
J. Shtalenkova
Dylan Kennedy
A. Edelen
Daniel Ratner
Xiaobiao Huang
ArXiv (abs)PDFHTML

Papers citing "Online tuning and light source control using a physics-informed Gaussian process Adi"

4 / 4 papers shown
Title
Learning to Do or Learning While Doing: Reinforcement Learning and
  Bayesian Optimisation for Online Continuous Tuning
Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning
Jan Kaiser
Chenran Xu
Annika Eichler
Andrea Santamaria Garcia
O. Stein
...
H. Dinter
F. Mayet
T. Vinatier
F. Burkart
H. Schlarb
OffRL
49
4
0
06 Jun 2023
Adaptive Machine Learning for Time-Varying Systems: Low Dimensional
  Latent Space Tuning
Adaptive Machine Learning for Time-Varying Systems: Low Dimensional Latent Space Tuning
A. Scheinker
AI4CE
63
30
0
13 Jul 2021
Accurate and confident prediction of electron beam longitudinal
  properties using spectral virtual diagnostics
Accurate and confident prediction of electron beam longitudinal properties using spectral virtual diagnostics
A. Hanuka
C. Emma
T. Maxwell
A. Fisher
B. Jacobson
M. Hogan
Z. Huang
30
29
0
27 Sep 2020
Autonomous Materials Discovery Driven by Gaussian Process Regression
  with Inhomogeneous Measurement Noise and Anisotropic Kernels
Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels
M. Noack
G. Doerk
Ruipeng Li
Jason K. Streit
R. Vaia
Kevin Yager
M. Fukuto
79
72
0
03 Jun 2020
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