19 citations · 26 across the 19 of their papers we have counts for
4 papers · 1 filter
Bifidelity Karhunen-Loève Expansion Surrogate with Active Learning for Random Fields
Aniket Jivani, Cosmin Safta, Beckett Y. Zhou +1
We present a bifidelity Karhunen-Loève expansion (KLE) surrogate model for field-valued quantities of interest (QoIs) under uncertain inputs. The approach combines the spectral eff…
Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates
Connor Robertson, Cosmin Safta, Nicholson Collier +2
Accurate calibration of stochastic agent-based models (ABMs) in epidemiology is crucial to make them useful in public health policy decisions and interventions. Traditional calibra…
Bayesian calibration of stochastic agent based model via random forest
Connor Robertson, Cosmin Safta, Nicholson Collier +2
Agent-based models (ABM) provide an excellent framework for modeling outbreaks and interventions in epidemiology by explicitly accounting for diverse individual interactions and en…
Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy
Wyatt Bridgman, Uma Balakrishnan, Reese Jones +5
In the field of surrogate modeling, polynomial chaos expansion (PCE) allows practitioners to construct inexpensive yet accurate surrogates to be used in place of the expensive forw…