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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

13 October 2023
J. Demange-Chryst
François Bachoc
Jérome Morio
Timothé Krauth
ArXivPDFHTML

Papers citing "Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling"

2 / 2 papers shown
Title
A Direct Importance Sampling-based Framework for Rare Event Uncertainty
  Quantification in Non-Gaussian Spaces
A Direct Importance Sampling-based Framework for Rare Event Uncertainty Quantification in Non-Gaussian Spaces
Elsayed M. Eshra
Konstantinos G. Papakonstantinou
Hamed Nikbakht
23
0
0
23 May 2024
Variational Autoencoders with Riemannian Brownian Motion Priors
Variational Autoencoders with Riemannian Brownian Motion Priors
Dimitris Kalatzis
David Eklund
Georgios Arvanitidis
Søren Hauberg
BDL
DRL
60
48
0
12 Feb 2020
1