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. 2402.03809
  4. Cited By
Combining additivity and active subspaces for high-dimensional Gaussian
  process modeling

Combining additivity and active subspaces for high-dimensional Gaussian process modeling

6 February 2024
M. Binois
Victor Picheny
ArXivPDFHTML

Papers citing "Combining additivity and active subspaces for high-dimensional Gaussian process modeling"

2 / 2 papers shown
Title
Re-Examining Linear Embeddings for High-Dimensional Bayesian
  Optimization
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
Benjamin Letham
Roberto Calandra
Akshara Rai
E. Bakshy
64
108
0
31 Jan 2020
Recursive co-kriging model for Design of Computer experiments with
  multiple levels of fidelity with an application to hydrodynamic
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic
Loic Le Gratiet
AI4CE
78
290
0
02 Oct 2012
1