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. 2005.13028
  4. Cited By
Probabilistic solution of chaotic dynamical system inverse problems
  using Bayesian Artificial Neural Networks

Probabilistic solution of chaotic dynamical system inverse problems using Bayesian Artificial Neural Networks

26 May 2020
David K. E. Green
F. Rindler
ArXivPDFHTML

Papers citing "Probabilistic solution of chaotic dynamical system inverse problems using Bayesian Artificial Neural Networks"

1 / 1 papers shown
Title
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
289
9,167
0
06 Jun 2015
1