3 papers
cs.LG2026
Stochastic Emulation using Generalized Stratified Sampling for Performance-Based Risk Optimization of Structures
Isabela D. Rodrigues, Seymour M. J. Spence, Henrique M. Kroetz +1
Metamodels are instrumental in reducing the computational burden associated with nested reliability analyses and optimization loops in Performance-Based Risk Optimization (PBRO) of…
cs.LG2026
Deep Learning-Based Metamodeling of Nonlinear Stochastic Dynamic Systems under Parametric and Predictive Uncertainty
Haimiti Atila, Seymour M. J. Spence
Modeling high-dimensional, nonlinear dynamic structural systems under natural hazards presents formidable computational challenges, especially when simultaneously accounting for un…
cs.LG2025
Adaptive Machine Learning-Driven Multi-Fidelity Stratified Sampling for Failure Analysis of Nonlinear Stochastic Systems
Liuyun Xu, Seymour M. J. Spence
Existing variance reduction techniques used in stochastic simulations for rare event analysis still require a substantial number of model evaluations to estimate small failure prob…