Large Scale Variable Fidelity Surrogate Modeling

Large Scale Variable Fidelity Surrogate Modeling

12 July 2017

Alexey Zaytsev

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Papers citing "Large Scale Variable Fidelity Surrogate Modeling"

7 / 7 papers shown

Title
$Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem$ Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem Viktor Duplyakov A. Morozov D. Popkov E. Shel A. Vainshtein Evgeny Burnaev A. Osiptsov G. Paderin 30 20 0 02 Aug 2021
Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities Loïc Brevault M. Balesdent Ali Hebbal 90 72 0 30 Jun 2020
Deep Gaussian Processes for Multi-fidelity Modeling Kurt Cutajar Mark Pullin Andreas C. Damianou Neil D. Lawrence Javier I. González AI4CE 75 110 0 18 Mar 2019
Deep Neural Networks Predicting Oil Movement in a Development Unit Pavel Temirchev M. Simonov R. Kostoev Evgeny Burnaev Ivan Oseledets A. Akhmetov A. Margarit A. Sitnikov D. Koroteev AI4CE 56 50 0 08 Jan 2019
Gaussian Process Classification for Variable Fidelity Data Nikita Klyuchnikov Evgeny Burnaev 11 1 0 13 Sep 2018
Data-driven model for the identification of the rock type at a drilling bit Nikita Klyuchnikov Alexey Zaytsev A. Gruzdev Georgiy Ovchinnikov Ksenia Antipova ... V. Koryabkin I. Simon A. Tsurgan Fedor V Krasnov D. Koroteev 72 55 0 08 Jun 2018
Driving Digital Rock towards Machine Learning: predicting permeability with Gradient Boosting and Deep Neural Networks O. Sudakov Evgeny Burnaev D. Koroteev AI4CE 52 168 0 02 Mar 2018