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. 2105.05489
  4. Cited By
Multiscale Invertible Generative Networks for High-Dimensional Bayesian
  Inference

Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference

12 May 2021
Shumao Zhang
Pengchuan Zhang
T. Hou
    BDL
ArXivPDFHTML

Papers citing "Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference"

5 / 5 papers shown
Title
KAN: Kolmogorov-Arnold Networks
KAN: Kolmogorov-Arnold Networks
Ziming Liu
Yixuan Wang
Sachin Vaidya
Fabian Ruehle
James Halverson
Marin Soljacic
Thomas Y. Hou
Max Tegmark
98
473
0
30 Apr 2024
Projected Stein Variational Gradient Descent
Projected Stein Variational Gradient Descent
Peng Chen
Omar Ghattas
BDL
55
68
0
09 Feb 2020
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
250
3,190
0
30 Oct 2016
On the Convergence of Stochastic Gradient MCMC Algorithms with
  High-Order Integrators
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen
Nan Ding
Lawrence Carin
37
158
0
21 Oct 2016
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,266
0
09 Jun 2012
1