activity
20192024
most citedBayesian improved cross entropy method for network reliability assessment

1 citations · 1 across the 4 of their papers we have counts for

collaborators

7 papers

math.DS2024

State Space Kriging model for emulating complex nonlinear dynamical systems under stochastic excitation

Kai Chenga, Iason Papaioannoua, MengZe Lyub +1

We present a new surrogate model for emulating the behavior of complex nonlinear dynamical systems with external stochastic excitation. The model represents the system dynamics in…

stat.AP20221 cited

Bayesian improved cross entropy method for network reliability assessment

Jianpeng Chan, Iason Papaioannou, Daniel Straub

We propose a modification of the improved cross entropy (iCE) method to enhance its performance for network reliability assessment. The iCE method performs a transition from the no…

stat.CO2022

Rare event estimation with sequential directional importance sampling (SDIS)

Kai Cheng, Iason Papaioannou, Zhenzhou Lu +2

In this paper, we propose a sequential directional importance sampling (SDIS) method for rare event estimation. SDIS expresses a small failure probability in terms of a sequence of…

cs.CE2021

Uncertainty quantification of microstructure variability and mechanical behaviour of additively manufactured lattice structures

Nina Korshunova, Iason Papaioannou, Stefan Kollmannsberger +2

Process-induced defects are the leading cause of discrepancies between as-designed and as-manufactured additive manufacturing (AM) product behavior. Especially for metal lattices,…

stat.CO2020

Cross-entropy-based importance sampling with failure-informed dimension reduction for rare event simulation

Felipe Uribe, Iason Papaioannou, Youssef M. Marzouk +1

The estimation of rare event or failure probabilities in high dimensions is of interest in many areas of science and technology. We consider problems where the rare event is expres…

stat.ML2019

Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines

Panagiotis Tsilifis, Iason Papaioannou, Daniel Straub +1

The challenges for non-intrusive methods for Polynomial Chaos modeling lie in the computational efficiency and accuracy under a limited number of model simulations. These challenge…