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. 2412.16462
  4. Cited By
Condensed Stein Variational Gradient Descent for Uncertainty
  Quantification of Neural Networks

Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks

21 December 2024
G. A. Padmanabha
Cosmin Safta
N. Bouklas
Reese E. Jones
ArXiv (abs)PDFHTML

Papers citing "Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks"

1 / 1 papers shown
Title
Uncertainty quantification of neural network models of evolving processes via Langevin sampling
Uncertainty quantification of neural network models of evolving processes via Langevin sampling
Cosmin Safta
Reese E. Jones
Ravi G. Patel
Raelynn Wonnacot
Dan S. Bolintineanu
Craig M. Hamel
S. Kramer
BDL
109
0
0
21 Apr 2025
1