Geoffrey F. Bomarito

According to our database, Geoffrey F. Bomarito authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Inherently interpretable machine learning solutions to differential equations.

Hongsup Oh, Roman Amici, Geoffrey F. Bomarito, Shandian Zhe, Robert M. Kirby, Jacob D. Hochhalter

Eng. Comput., August, 2024

Covariance Expressions for Multifidelity Sampling with Multioutput, Multistatistic Estimators: Application to Approximate Control Variates.

Thomas O. Dixon, James E. Warner, Geoffrey F. Bomarito, Alex A. Gorodetsky

SIAM/ASA J. Uncertain. Quantification, 2024

Comparing Methods for Estimating Marginal Likelihood in Symbolic Regression.

Patrick E. Leser, Geoffrey F. Bomarito, Gabriel Kronberger, Fabrício Olivetti de França

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Genetic Programming Based Symbolic Regression for Analytical Solutions to Differential Equations.

Hongsup Oh, Roman Amici, Geoffrey F. Bomarito, Shandian Zhe, Robert M. Kirby, Jacob D. Hochhalter

CoRR, 2023

2022

On the optimization of approximate control variates with parametrically defined estimators.

Geoffrey F. Bomarito, Patrick E. Leser, James E. Warner, William P. Leser

J. Comput. Phys., 2022

Automated Learning of Interpretable Models with Quantified Uncertainty.

Geoffrey F. Bomarito, Patrick E. Leser, N. C. M. Strauss, K. M. Garbrecht, Jacob D. Hochhalter

CoRR, 2022

Bingo: a customizable framework for symbolic regression with genetic programming.

David L. Randall, Tyler S. Townsend, Jacob D. Hochhalter, Geoffrey F. Bomarito

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Bayesian model selection for reducing bloat and overfitting in genetic programming for symbolic regression.

Geoffrey F. Bomarito, Patrick E. Leser, N. C. M. Strauss, K. M. Garbrecht, Jacob D. Hochhalter

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2020

Inverse Estimation of Elastic Modulus Using Physics-Informed Generative Adversarial Networks.

James E. Warner, Julian Cuevas, Geoffrey F. Bomarito, Patrick E. Leser, William P. Leser

CoRR, 2020