4 papers
Conformal prediction for full and sparse polynomial chaos expansions
A. Hatstatt, X. Zhu, B. Sudret
Polynomial Chaos Expansions (PCEs) are widely recognized for their efficient computational performance in surrogate modeling. Yet, a robust framework to quantify local model errors…
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)…
MF-GLaM: A multifidelity stochastic emulator using generalized lambda models
K. Giannoukou, X. Zhu, S. Marelli +1
Stochastic simulators exhibit intrinsic stochasticity due to unobservable, uncontrollable, or unmodeled input variables, resulting in random outputs even at fixed input conditions.…