most citedTransient anisotropic kernel for probabilistic learning on manifolds

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stat.ML2025

Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps

Dimitris G Giovanis, Nikolaos Evangelou, Ioannis G Kevrekidis +1

We present a generative learning framework for probabilistic sampling based on an extension of the Probabilistic Learning on Manifolds (PLoM) approach, which is designed to generat…

stat.ML2024★ 1 cited

Transient anisotropic kernel for probabilistic learning on manifolds

Christian Soize, Roger Ghanem

PLoM (Probabilistic Learning on Manifolds) is a method introduced in 2016 for handling small training datasets by projecting an Itô equation from a stochastic dissipative Hamiltoni…