Geoffrey F. Bomarito

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Genetic Programming

Bayesian Model Selection

Evolutionary Computation

Symbolic Regression

Top Venues

GECCO Companion

J. Comput. Phys.

Publications

Patrick E. Leser, Geoffrey F. Bomarito, Gabriel Kronberger, Fabrício Olivetti de França
Comparing Methods for Estimating Marginal Likelihood in Symbolic Regression. GECCO Companion (2024)
Hongsup Oh, Roman Amici, Geoffrey F. Bomarito, Shandian Zhe, Robert Kirby, Jacob D. Hochhalter
Genetic Programming Based Symbolic Regression for Analytical Solutions to Differential Equations. CoRR (2023)
David L. Randall, Tyler S. Townsend, Jacob D. Hochhalter, Geoffrey F. Bomarito
Bingo: a customizable framework for symbolic regression with genetic programming. GECCO Companion (2022)
Geoffrey F. Bomarito, Patrick E. Leser, James E. Warner, William P. Leser
On the optimization of approximate control variates with parametrically defined estimators. J. Comput. Phys. 451 (2022)
Geoffrey F. Bomarito, Patrick E. Leser, N. C. M. Strauss, K. M. Garbrecht, J. D. Hochhalter
Bayesian model selection for reducing bloat and overfitting in genetic programming for symbolic regression. GECCO Companion (2022)
Geoffrey F. Bomarito, Patrick E. Leser, N. C. M. Strauss, K. M. Garbrecht, Jacob D. Hochhalter
Automated Learning of Interpretable Models with Quantified Uncertainty. CoRR (2022)
James E. Warner, Julian Cuevas, Geoffrey F. Bomarito, Patrick E. Leser, William P. Leser
Inverse Estimation of Elastic Modulus Using Physics-Informed Generative Adversarial Networks. CoRR (2020)