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. 1811.07707
  4. Cited By
Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes

Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes

15 November 2018
Jialin Song
Y. Tokpanov
Yuxin Chen
Dagny Fleischman
Katherine T Fountaine
H. Atwater
Yisong Yue
ArXivPDFHTML

Papers citing "Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes"

4 / 4 papers shown
Title
Learning Regions of Interest for Bayesian Optimization with Adaptive
  Level-Set Estimation
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation
Fengxue Zhang
Jialin Song
James Bowden
Alexander Ladd
Yisong Yue
Thomas Desautels
Yuxin Chen
30
6
0
25 Jul 2023
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic
  Bayesian Optimisation
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation
Ryan-Rhys Griffiths
Alexander A. Aldrick
Miguel García-Ortegón
Vidhi R. Lalchand
A. Lee
31
35
0
17 Oct 2019
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
403
0
06 Mar 2017
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
88
292
0
02 Oct 2012
1