124 citations · 124 across the 2 of their papers we have counts for
2 papers
stat.ML2026
A numerical study into neural network surrogate model performance for uncertainty propagation
Noah Wade, Kirubel Teferra
Neural network surrogate models have emerged as a promising approach to model solution fields for a wide variety of boundary value problems encountered in physical modeling. Stocha…
stat.ME2015★ 124 cited
Refined Stratified Sampling for efficient Monte Carlo based uncertainty quantification
Michael D. Shields, Kirubel Teferra, Adam Hapij +1
A general adaptive approach rooted in stratified sampling (SS) is proposed for sample-based uncertainty quantification (UQ). To motivate its use in this context the space-filling,…