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2020 – today
- 2023
[j8]Roland Preuss
, Udo von Toussaint:
Outlier-Robust Surrogate Modeling of Ion-Solid Interaction Simulations. Entropy 25(4): 685 (2023)- [c1]Yehor Yudin, David Coster, Udo von Toussaint, Frank Jenko:
Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations. ICCS (4) 2023: 572-586 - [i1]Yehor Yudin, David Coster, Udo von Toussaint, Frank Jenko:
Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations. CoRR abs/2306.07913 (2023) - 2022
- [j7]Christopher G. Albert, Ulrich Callies, Udo von Toussaint:
A Bayesian Approach to the Estimation of Parameters and Their Interdependencies in Environmental Modeling. Entropy 24(2): 231 (2022) - 2021
- [j6]Udo von Toussaint, F. Javier Domínguez-Gutiérrez, Michele Compostella, Markus Rampp:
FaVAD: A software workflow for characterization and visualizing of defects in crystalline structures. Comput. Phys. Commun. 262: 107816 (2021) - [d1]Katharina Rath, Christopher G. Albert, Bernd Bischl, Udo von Toussaint:
redmod-team/SympGPR v1.0. Zenodo, 2021
2010 – 2019
- 2019
- [j5]Roland Preuss, Rodrigo Arredondo, Udo von Toussaint:
Bayesian Determination of Parameters for Plasma-Wall Interactions. Entropy 21(12): 1175 (2019) - 2018
- [j4]Roland Preuss, Udo von Toussaint:
Global Optimization Employing Gaussian Process-Based Bayesian Surrogates. Entropy 20(3): 201 (2018) - 2017
- [j3]Roland Preuss, Udo von Toussaint:
Sequential Batch Design for Gaussian Processes Employing Marginalization †. Entropy 19(2): 84 (2017) - 2015
- [j2]Udo von Toussaint:
General Hyperplane Prior Distributions Based on Geometric Invariances for Bayesian Multivariate Linear Regression. Entropy 17(6): 3898-3912 (2015)
2000 – 2009
- 2006
- [j1]Udo von Toussaint, Silvio Gori, Volker Dose:
Invariance priors for Bayesian feed-forward neural networks. Neural Networks 19(10): 1550-1557 (2006)
Coauthor Index
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