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Active learning-assisted neutron spectroscopy with log-Gaussian
  processes

Active learning-assisted neutron spectroscopy with log-Gaussian processes

2 September 2022
Mario Teixeira Parente
G. Brandl
C. Franz
U. Stuhr
M. Ganeva
A. Schneidewind
ArXivPDFHTML

Papers citing "Active learning-assisted neutron spectroscopy with log-Gaussian processes"

4 / 4 papers shown
Title
Autonomous synthesis of metastable materials
Autonomous synthesis of metastable materials
Sebastian Ament
M. Amsler
Duncan R. Sutherland
Ming-Chiang Chang
D. Guevarra
Aine B. Connolly
J. Gregoire
Michael O Thompson
Carla P. Gomes
R. B. Dover
47
37
0
19 Jan 2021
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
42
71
0
03 Jun 2020
Explainable Machine Learning for Scientific Insights and Discoveries
Explainable Machine Learning for Scientific Insights and Discoveries
R. Roscher
B. Bohn
Marco F. Duarte
Jochen Garcke
XAI
61
667
0
21 May 2019
Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo
Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo
Markus Heinonen
Henrik Mannerstrom
Juho Rousu
Samuel Kaski
Harri Lähdesmäki
50
103
0
18 Aug 2015
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