Enhanced data efficiency using deep neural networks and Gaussian processes for aerodynamic design optimization

15 August 2020

Papers citing "Enhanced data efficiency using deep neural networks and Gaussian processes for aerodynamic design optimization"

4 / 4 papers shown

Title
Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial Networks Wei Chen Kevin N. Chiu M. Fuge 49 85 0 21 Jun 2020
Recursive Two-Step Lookahead Expected Payoff for Time-Dependent Bayesian Optimization Sudharshan Ashwin Renganathan Jeffrey Larson Stefan M. Wild 25 2 0 14 Jun 2020
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.2K 150,472 0 22 Dec 2014
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 142 2,449 0 12 Dec 2010