ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1908.11272
  4. Cited By
Modeling and Optimization with Gaussian Processes in Reduced Eigenbases
  -- Extended Version
v1v2 (latest)

Modeling and Optimization with Gaussian Processes in Reduced Eigenbases -- Extended Version

29 August 2019
David Gaudrie
Rodolphe Le Riche
Victor Picheny
B. Enaux
V. Herbert
ArXiv (abs)PDFHTML

Papers citing "Modeling and Optimization with Gaussian Processes in Reduced Eigenbases -- Extended Version"

4 / 4 papers shown
Title
A Survey on Design-space Dimensionality Reduction Methods for Shape Optimization
A Survey on Design-space Dimensionality Reduction Methods for Shape Optimization
A. Serani
Matteo Diez
AI4CE
118
2
0
22 May 2024
Machine Learning in Aerodynamic Shape Optimization
Machine Learning in Aerodynamic Shape Optimization
Ji-chao Li
Xiaosong Du
J. Martins
AI4CE
91
194
0
15 Feb 2022
Revisiting Bayesian Optimization in the light of the COCO benchmark
Revisiting Bayesian Optimization in the light of the COCO benchmark
Rodolphe Le Riche
Victor Picheny
86
28
0
30 Mar 2021
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds
Noémie Jaquier
Leonel Rozo
103
24
0
21 Oct 2020
1