Hillary Fairbanks

Lawrence Livermore National Laboratory — United States

Decision Sciences · Social Sciences

6h-index186citations23works0.02yr avg
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Research Topics

Probabilistic and Robust Engineering Design(10), Advanced Multi-Objective Optimization Algorithms(4), Statistical Methods and Inference(3), Additive Manufacturing Materials and Processes(3), Model Reduction and Neural Networks(3)

Publications23 total

Scalable multilevel Monte Carlo methods exploiting parallel redistribution on coarse levels
The International Journal of High Performance Computing Applications·2025
Scalable Algorithms for Inverse Problems With High-Dimensional Parameter Spaces
2025Open Access
Accelerating multilevel Markov Chain Monte Carlo using machine learning models
Physica Scripta·2025Open Access
A Bayesian Inferencing Framework for Ultrasound Wave Speed Measurements in Metal Additive Manufacturing
SSRN Electronic Journal·2025Open Access
A Bayesian Inferencing Framework for Ultrasound Wave Speed Estimation in Metal Additive Manufacturing
SSRN Electronic Journal·2025Open Access
Scalable Multilevel Monte Carlo Methods Exploiting Parallel Redistribution on Coarse Levels
arXiv (Cornell University)·2024Open Access
Accelerating Multilevel Markov Chain Monte Carlo Using Machine Learning Models
arXiv (Cornell University)·2024Open Access
A Bayesian Inferencing Framework for Ultrasound Wave Speed Estimation in Metal Additive Manufacturing
SSRN Electronic Journal·2024Open Access
Deep Neural Network Informed Markov Chain Monte Carlo Methods
2023Open Access
A Bayesian Inference Technique for Ultrasound Uncertainty Quantification in Metal Additive Manufacturing
SSRN Electronic Journal·2022· 1 citedOpen Access
Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte Carlo
SIAM Journal on Scientific Computing·2021Open Access
Estimating posterior quantity of interest expectations in a multilevel scalable framework
Numerical Linear Algebra with Applications·2020· 6 citedOpen Access
Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence
Journal of Computational Physics·2019· 31 citedOpen Access
The Hubness Phenomenon in High-Dimensional Spaces
Association for Women in Mathematics series·2019· 5 cited
Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence
arXiv (Cornell University)·2018Open Access
Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence.
2018· 8 citedOpen Access
Toxic Stress
2018
Practical error bounds for a non-intrusive bi-fidelity approach to parametric/stochastic model reduction
Journal of Computational Physics·2018· 51 citedOpen Access
Multi-fidelity uncertainty quantification of irradiated particle-laden turbulence
arXiv (Cornell University)·2018· 24 citedOpen Access
Low-Rank, Multi-Fidelity Methods for Uncertainty Quantification of High-Dimensional Systems
CU Scholar (University of Colorado Boulder)·2018Open Access
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Frequent Co-authors

Alireza Doostan(8), Gianluca Iaccarino(6), Lluís Jofre(5), Gianluca Geraci(4), Panayot S. Vassilevski(4), Jordan S. Lum(4), David M. Stobbe(4), Seemeen Karimi(4), Joseph W. Tringe(4), Andrew Townsend(3), Gabe Guss(3), Sohail R. Reddy(3), Jerrad Hampton(2), Akil Narayan(2), Saptarshi Mukherjee(2), Delyan Z. Kalchev(2), Chak Shing Lee(2), Saptarshi Mukherjee(2), C. Ketelsen(1), Sarah Osborn(1)