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2007.00400
Cited By

Accelerating Uncertainty Quantification of Groundwater Flow Modelling
Using a Deep Neural Network Proxy

v1v2 (latest)

Accelerating Uncertainty Quantification of Groundwater Flow Modelling Using a Deep Neural Network Proxy

1 July 2020

Mikkel B. Lykkegaard

ArXiv (abs)PDF HTML

Papers citing "Accelerating Uncertainty Quantification of Groundwater Flow Modelling Using a Deep Neural Network Proxy"

4 / 4 papers shown

Accelerating Multilevel Markov Chain Monte Carlo Using Machine Learning
Models

Accelerating Multilevel Markov Chain Monte Carlo Using Machine Learning ModelsPhysica Scripta (Phys. Scr.), 2024

Hillary R. Fairbanks

211

2

0

18 May 2024

Multilevel Delayed Acceptance MCMC

Multilevel Delayed Acceptance MCMC

Mikkel B. Lykkegaard

Grigorios Mingas

Robert Scheichl

313

23

0

08 Feb 2022

Deep Capsule Encoder-Decoder Network for Surrogate Modeling and
Uncertainty Quantification

Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty QuantificationInternational Journal for Numerical Methods in Engineering (IJNME), 2022

177

6

0

19 Jan 2022

Multilevel Delayed Acceptance MCMC with an Adaptive Error Model in PyMC3

Multilevel Delayed Acceptance MCMC with an Adaptive Error Model in PyMC3

Mikkel B. Lykkegaard

Grigorios Mingas

Robert Scheichl

164

9

0

10 Dec 2020

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