Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities

26 February 2021

Papers citing "Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities"

5 / 5 papers shown

Title
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads Andrea Vaiuso Gabriele Immordino Marcello Righi A. Ronch AI4CE 45 0 0 08 Jul 2024
A DeepONet multi-fidelity approach for residual learning in reduced order modeling N. Demo M. Tezzele G. Rozza 30 19 0 24 Feb 2023
Multi-fidelity surrogate modeling using long short-term memory networks Paolo Conti Mengwu Guo Andrea Manzoni J. Hesthaven AI4CE 33 48 0 05 Aug 2022
Multifidelity data fusion in convolutional encoder/decoder networks Lauren Partin Gianluca Geraci A. Rushdi M. Eldred Daniele E. Schiavazzi UQCV AI4CE 27 13 0 10 May 2022
An extended physics informed neural network for preliminary analysis of parametric optimal control problems N. Demo M. Strazzullo G. Rozza PINN 31 33 0 26 Oct 2021