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. 2012.11241
  4. Cited By
Improvement of the cross-entropy method in high dimension for failure
  probability estimation through a one-dimensional projection without gradient
  estimation
v1v2 (latest)

Improvement of the cross-entropy method in high dimension for failure probability estimation through a one-dimensional projection without gradient estimation

21 December 2020
Maxime El Masri
Jérome Morio
F. Simatos
ArXiv (abs)PDFHTML

Papers citing "Improvement of the cross-entropy method in high dimension for failure probability estimation through a one-dimensional projection without gradient estimation"

1 / 1 papers shown
Title
Variational autoencoder with weighted samples for high-dimensional
  non-parametric adaptive importance sampling
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling
J. Demange-Chryst
François Bachoc
Jérome Morio
Timothé Krauth
58
2
0
13 Oct 2023
1