Variational Bayesian surrogate modelling with application to robust design optimisation (Q6643588)

scientific article; zbMATH DE number 7949581

Language	Label	Description	Also known as
English	Variational Bayesian surrogate modelling with application to robust design optimisation	scientific article; zbMATH DE number 7949581

Statements

instance of

scholarly article

0 references

title

Variational Bayesian surrogate modelling with application to robust design optimisation (English)

0 references

0 references

0 references

0 references

Computer Methods in Applied Mechanics and Engineering

0 references

publication date

26 November 2024

0 references

zbMATH Keywords

surrogate modelling

0 references

multi-query problems

0 references

Bayesian inference

0 references

variational Bayes

0 references

Gaussian processes

0 references

robust optimisation

0 references

MaRDI profile type

Publication

0 references

cites work

Modeling uncertainty in steady state diffusion problems via generalized polynomial chaos

0 references

Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure

0 references

Stochastic analysis of structures under limited observations using kernel density estimation and arbitrary polynomial chaos expansion

0 references

Sensitivity-enhanced generalized polynomial chaos for efficient uncertainty quantification

0 references

Reliability-based structural optimization using neural networks and Monte Carlo simulation

0 references

Deep Learning

0 references

A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics

0 references

Q3394879

0 references

The design and analysis of computer experiments.

0 references

Stochastic PDE representation of random fields for large-scale Gaussian process regression and statistical finite element analysis

0 references

A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing

0 references

Computational methods in optimization considering uncertainties - An overview

0 references

Robust design of structures using optimization methods

0 references

Stress-based topology optimization of continuum structures under uncertainties

0 references

Structural optimization using kriging approximation

0 references

Sequential approximate optimization for design under uncertainty problems utilizing Kriging metamodeling in augmented input space

0 references

Topology optimization of continuum structures under uncertainty - A polynomial chaos approach

0 references

An efficient Kriging based method for time-dependent reliability based robust design optimization via evolutionary algorithm

0 references

Stress-based topology optimization under uncertainty via simulation-based Gaussian process

0 references

Enhanced variable-fidelity surrogate-based optimization framework by Gaussian process regression and fuzzy clustering

0 references

Bayesian calibration of computer models. (With discussion)

0 references

Q2855953

0 references

Q2873072

0 references

Bayesian Model and Dimension Reduction for Uncertainty Propagation: Applications in Random Media

0 references

The statistical finite element method (statFEM) for coherent synthesis of observation data and model predictions

0 references

Active Subspace Methods in Theory and Practice: Applications to Kriging Surfaces

0 references

Multifidelity Dimension Reduction via Active Subspaces

0 references

Gaussian processes with built-in dimensionality reduction: applications to high-dimensional uncertainty propagation

0 references

Reduced order modeling for nonlinear structural analysis using Gaussian process regression

0 references

Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian processes

0 references

An introduction to variational methods for graphical models

0 references

Variational Bayesian approximation of inverse problems using sparse precision matrices

0 references

Fully probabilistic deep models for forward and inverse problems in parametric PDEs

0 references

Q2933843

0 references

Q3093326

0 references

Variational inference for latent variables and uncertain inputs in Gaussian processes

0 references

An Introduction to Variational Autoencoders

0 references

Q4917542

0 references

A Coefficient of Determination for Generalized Linear Models

0 references

Q5405143

0 references

Predicting the output from a complex computer code when fast approximations are available

0 references

A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables

0 references

Nonlinear Dimensionality Reduction

0 references

Active Learning for Deep Gaussian Process Surrogates

0 references

Identifiers

DOI

10.1016/j.cma.2024.117423

0 references

Mathematics Subject Classification ID

0 references

0 references

0 references

0 references

Sitelinks

Mathematics(1 entry)

mardi Publication:6643588