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11/24/2022
Projection pursuit adaptation on polynomial chaos expansions
The present work addresses the issue of accurate stochastic approximatio...
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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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07/27/2020
Normal-bundle Bootstrap
Probabilistic models of data sets often exhibit salient geometric struct...
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04/24/2020
Environmental Economics and Uncertainty: Review and a Machine Learning Outlook
Economic assessment in environmental science concerns the measurement or...
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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
Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset
This paper tackles the challenge presented by small-data to the task of ...
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09/27/2019