Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models

9 May 2019

Papers citing "Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models"

6 / 6 papers shown

Title
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization Gilhyun Ryou E. Tal S. Karaman 59 4 0 01 Jun 2022
Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds Simone Pezzuto P. Perdikaris F. Sahli Costabal 29 8 0 11 Mar 2022
Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification Lia Gander Simone Pezzuto A. Gharaviri Rolf Krause P. Perdikaris F. Sahli Costabal 41 13 0 15 Dec 2021
Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs Yibo Yang A. Blanchard T. Sapsis P. Perdikaris 58 19 0 19 Feb 2021
Exploring the potential of transfer learning for metamodels of heterogeneous material deformation Emma Lejeune Bill Zhao AI4CE 46 20 0 28 Oct 2020
Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers Gilhyun Ryou E. Tal S. Karaman 82 42 0 03 Jun 2020