1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
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…
Bayesian Conditional Monte Carlo Algorithms for Sequential Single and Multi-Object filtering
Yohan Petetin, François Desbouvries
Bayesian filtering aims at tracking sequentially a hidden process from an observed one. In particular, sequential Monte Carlo (SMC) techniques propagate in time weighted trajectori…