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08/08/2023
Contour Location for Reliability in Airfoil Simulation Experiments using Deep Gaussian Processes
Bayesian deep Gaussian processes (DGPs) outperform ordinary GPs as surro...
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03/02/2022
CAMERA: A Method for Cost-aware, Adaptive, Multifidelity, Efficient Reliability Analysis
Estimating probability of failure in aerospace systems is a critical req...
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09/06/2021
Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning
Wind farm design primarily depends on the variability of the wind turbin...
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05/20/2021
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control
We propose a novel Bayesian method to solve the maximization of a time-d...
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08/15/2020
Enhanced data efficiency using deep neural networks and Gaussian processes for aerodynamic design optimization
Adjoint-based optimization methods are attractive for aerodynamic shape ...
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06/14/2020
Recursive Two-Step Lookahead Expected Payoff for Time-Dependent Bayesian Optimization
We propose a novel Bayesian method to solve the maximization of a time-d...
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11/02/2019
