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. 2106.04170
  4. Cited By
Scalable conditional deep inverse Rosenblatt transports using
  tensor-trains and gradient-based dimension reduction

Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reduction

8 June 2021
Tiangang Cui
S. Dolgov
O. Zahm
ArXivPDFHTML

Papers citing "Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reduction"

3 / 3 papers shown
Title
Deep importance sampling using tensor trains with application to a
  priori and a posteriori rare event estimation
Deep importance sampling using tensor trains with application to a priori and a posteriori rare event estimation
Tiangang Cui
S. Dolgov
Robert Scheichl
27
3
0
05 Sep 2022
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
203
2,272
0
18 Oct 2020
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
132
3,263
0
09 Jun 2012
1