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Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

8 December 2023
Philipp Reiser
Javier Enrique Aguilar
A. Guthke
Paul-Christian Burkner
ArXivPDFHTML

Papers citing "Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference"

5 / 5 papers shown
Title
Variational Bayesian Last Layers
Variational Bayesian Last Layers
James Harrison
John Willes
Jasper Snoek
BDL
UQCV
40
23
0
17 Apr 2024
Improved uncertainty quantification for neural networks with Bayesian
  last layer
Improved uncertainty quantification for neural networks with Bayesian last layer
F. Fiedler
S. Lucia
UQCV
BDL
25
12
0
21 Feb 2023
Clifford Neural Layers for PDE Modeling
Clifford Neural Layers for PDE Modeling
Johannes Brandstetter
Rianne van den Berg
Max Welling
Jayesh K. Gupta
AI4CE
60
76
0
08 Sep 2022
Simulation Intelligence: Towards a New Generation of Scientific Methods
Simulation Intelligence: Towards a New Generation of Scientific Methods
Alexander Lavin
D. Krakauer
Hector Zenil
Justin Emile Gottschlich
Tim Mattson
...
A. Hanuka
Manuela Veloso
Samuel A. Assefa
Stephan Zheng
Avi Pfeffer
37
102
0
06 Dec 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
197
2,254
0
18 Oct 2020
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