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05/06/2022
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures
This paper deals with the taking into account a given set of realization...
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02/10/2022
Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints
In a first part, we present a mathematical analysis of a general methodo...
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05/27/2021
Computational modeling of the nonlinear stochastic dynamics of horizontal drillstrings
This work intends to analyze the nonlinear stochastic dynamics of drills...
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02/22/2021
Probabilistic Learning on Manifolds (PLoM) with Partition
The probabilistic learning on manifolds (PLoM) introduced in 2016 has so...
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10/27/2020
Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets
A novel extension of the Probabilistic Learning on Manifolds (PLoM) is p...
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02/28/2020
Probabilistic Learning on Manifolds
This paper presents mathematical results in support of the methodology o...
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10/28/2019