297 citations · 1.6k across the 24 of their papers we have counts for
28 papers
Probabilistic function-on-function nonlinear autoregressive model for emulation and reliability analysis of stochastic dynamical systems
Zhouzhou Song, Marcos A. Valdebenito, Styfen Schär +3
Constructing accurate and computationally efficient surrogate models (or emulators) for predicting dynamical system responses is critical in many engineering domains, yet remains c…
Surrogate modeling for uncertainty quantification in nonlinear dynamics
S. Marelli, S. Schär, B. Sudret
Predicting the behavior of complex systems in engineering often involves significant uncertainty about operating conditions, such as external loads, environmental effects, and manu…
mNARX+: A surrogate model for complex dynamical systems using manifold-NARX and automatic feature selection
S. Schär, S. Marelli, B. Sudret
We propose an automatic approach for manifold nonlinear autoregressive with exogenous inputs (mNARX) modeling that leverages the feature-based structure of functional-NARX (F-NARX)…
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…
Emulating the dynamics of complex systems using autoregressive models on manifolds (mNARX)
Styfen Schär, Stefano Marelli, Bruno Sudret
We propose a novel surrogate modelling approach to efficiently and accurately approximate the response of complex dynamical systems driven by time-varying exogenous excitations ove…
Reliability analysis of arbitrary systems based on active learning and global sensitivity analysis
Maliki Moustapha, Pietro Parisi, Stefano Marelli +1
System reliability analysis aims at computing the probability of failure of an engineering system given a set of uncertain inputs and limit state functions. Active-learning solutio…