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Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids

Saurabh Deshpande, Hussein Rappel, Mark Hobbs, Stéphane Bordas, Jakub Lengiewicz

2025Computer Methods in Applied Mechanics and Engineering24 citationsDOIOpen Access PDF

Topics & Concepts

AutoencoderArtificial neural networkGaussian processNonlinear systemKrigingSurrogate modelProbabilistic logicApplied mathematicsProcess (computing)MathematicsRegressionGaussianComputer scienceArtificial intelligenceMathematical optimizationMachine learningStatisticsPhysicsQuantum mechanicsOperating systemModel Reduction and Neural NetworksOil and Gas Production TechniquesProbabilistic and Robust Engineering Design
Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids | Litcius