1 citations · 1 across the 3 of their papers we have counts for
4 papers
Classifier Weighted Mixture models
Elouan Argouarc'h, François Desbouvries, Eric Barat +2
This paper proposes an extension of standard mixture stochastic models, by replacing the constant mixture weights with functional weights defined using a classifier. Classifier Wei…
Generative vs. Discriminative modeling under the lens of uncertainty quantification
Elouan Argouarc'h, François Desbouvries, Eric Barat +1
Learning a parametric model from a given dataset indeed enables to capture intrinsic dependencies between random variables via a parametric conditional probability distribution and…
Binary classification based Monte Carlo simulation
Elouan Argouarc'h, François Desbouvries
Acceptance-rejection (AR), Independent Metropolis Hastings (IMH) or importance sampling (IS) Monte Carlo (MC) simulation algorithms all involve computing ratios of probability dens…
Discretely Indexed Flows
Elouan Argouarc'h, François Desbouvries, Eric Barat +2
In this paper we propose Discretely Indexed flows (DIF) as a new tool for solving variational estimation problems. Roughly speaking, DIF are built as an extension of Normalizing Fl…