activity
20052022
most citedData-driven probability concentration and sampling on manifold

110 citations · 407 across the 19 of their papers we have counts for

collaborators

24 papers

math.NA2022★ 34 cited

Projection pursuit adaptation on polynomial chaos expansions

Xiaoshu Zeng, Roger Ghanem

The present work addresses the issue of accurate stochastic approximations in high-dimensional parametric space using tools from uncertainty quantification (UQ). The basis adaptati…

stat.ME2021

Probabilistic Learning on Manifolds (PLoM) with Partition

Christian Soize, Roger Ghanem

The probabilistic learning on manifolds (PLoM) introduced in 2016 has solved difficult supervised problems for the ``small data'' limit where the number N of points in the training…

cs.LG2020

Data-based Discovery of Governing Equations

Waad Subber, Piyush Pandita, Sayan Ghosh +3

Most common mechanistic models are traditionally presented in mathematical forms to explain a given physical phenomenon. Machine learning algorithms, on the other hand, provide a m…

math.OC2020

Multi-market Oligopoly of Equal Capacity

Ruda Zhang, Roger Ghanem

We consider a variant of Cournot competition, where multiple firms allocate the same amount of resource across multiple markets. We prove that the game has a unique pure-strategy N…

stat.ML2020★ 39 cited

Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets

Christian Soize, Roger Ghanem

A novel extension of the Probabilistic Learning on Manifolds (PLoM) is presented. It makes it possible to synthesize solutions to a wide range of nonlinear stochastic boundary valu…

physics.soc-ph2020

Drivers learn city-scale dynamic equilibrium

Ruda Zhang, Roger Ghanem

Understanding driver behavior in on-demand mobility services is crucial for designing efficient and sustainable transport models. Drivers' delivery strategy is well understood, but…