ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2312.02575
  4. Cited By
A Bayesian neural network approach to Multi-fidelity surrogate modelling

A Bayesian neural network approach to Multi-fidelity surrogate modelling

5 December 2023
Baptiste Kerleguer
C. Cannamela
Josselin Garnier
    UQCV
ArXivPDFHTML

Papers citing "A Bayesian neural network approach to Multi-fidelity surrogate modelling"

2 / 2 papers shown
Title
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in
  Transonic Aerodynamic Loads
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads
Andrea Vaiuso
Gabriele Immordino
Marcello Righi
A. Ronch
AI4CE
48
0
0
08 Jul 2024
Recursive co-kriging model for Design of Computer experiments with
  multiple levels of fidelity with an application to hydrodynamic
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic
Loic Le Gratiet
AI4CE
88
292
0
02 Oct 2012
1