#surrogate modeling
4 resultsA distributed active subspace method for scalable surrogate modeling of function valued outputs
Hayley Guy, Alen Alexanderian, Meilin Yu
The paper proposes a distributed active subspace technique that combines adjoint‑based gradient computation with truncated Karhunen–Loève expansions to build scalable surrogate mod…
Benchmarking Surrogate-Assisted Genetic Recommender Systems
Thomas Gabor, Philipp Altmann
The paper introduces a recommender system that uses a surrogate model within an interactive genetic algorithm to suggest items, updating the model based on user feedback and showin…
A hierarchical neural hybrid method for failure probability estimation
Ke Li, Kejun Tang, Jinglai Li +2
The paper proposes a hierarchical neural hybrid method that uses multifidelity neural network surrogates to efficiently estimate rare failure probabilities in high‑dimensional PDE‑…
Towards Scalable Gaussian Process Modeling
Piyush Pandita, Jesper Kristensen, Liping Wang
The paper introduces an Adaptive Sequential Monte Carlo method to train Gaussian Process hyperparameters, enabling scalable surrogate modeling for large industrial datasets without…