activity
20162026
most citedAn active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis

297 citations · 1.6k across the 24 of their papers we have counts for

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2 papers · 1 filter

physics.geo-ph2023★ 1 cited

Bayesian tomography using polynomial chaos expansion and deep generative networks

Giovanni Angelo Meles, Macarena Amaya, Shiran Levy +2

Implementations of Markov chain Monte Carlo (MCMC) methods need to confront two fundamental challenges: accurate representation of prior information and efficient evaluation of lik…

physics.geo-ph2022★ 15 cited

Bayesian tomography with prior-knowledge-based parametrization and surrogate modeling

Giovanni Angelo Meles, Niklas Linde, Stefano Marelli

We present a Bayesian tomography framework operating with prior-knowledge-based parametrization that is accelerated by surrogate models. Standard high-fidelity forward solvers solv…