Geoffrey F. Bomarito

13 papers Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bayesian Symbolic Regression via Posterior Sampling.
CoRR
Geoffrey F. Bomarito, Patrick E. Leser
2025 — conf
Call for Action: towards the next generation of symbolic regression benchmark.
GECCO Companion
Guilherme Seidyo Imai Aldeia, Hengzhe Zhang, Geoffrey F. Bomarito, Miles D. Cranmer, Alcides Fonseca, Bogdan Burlacu, William G. La Cava, Fabrício Olivetti de França
2025 J jnl
Call for Action: towards the next generation of symbolic regression benchmark.
CoRR
Guilherme Seidyo Imai Aldeia, Hengzhe Zhang, Geoffrey F. Bomarito, Miles D. Cranmer, Alcides Fonseca, Bogdan Burlacu, William G. La Cava, Fabrício Olivetti de França
2025 J jnl
Generative Modeling of Random Fields from Limited Data via Constrained Latent Flow Matching.
CoRR
James E. Warner, Tristan A. Shah, Patrick E. Leser, Geoffrey F. Bomarito, Joshua D. Pribe, Michael C. Stanley
2024 — conf
Comparing Methods for Estimating Marginal Likelihood in Symbolic Regression.
GECCO Companion
Patrick E. Leser, Geoffrey F. Bomarito, Gabriel Kronberger, Fabrício Olivetti de França
2024 J jnl
Covariance Expressions for Multifidelity Sampling with Multioutput, Multistatistic Estimators: Application to Approximate Control Variates.
SIAM/ASA J. Uncertain. Quantification
Thomas O. Dixon, James E. Warner, Geoffrey F. Bomarito, Alex A. Gorodetsky
2024 J jnl
Inherently interpretable machine learning solutions to differential equations.
Eng. Comput.
Hongsup Oh, Roman Amici, Geoffrey F. Bomarito, Shandian Zhe, Robert M. Kirby, Jacob D. Hochhalter
2023 J jnl
Genetic Programming Based Symbolic Regression for Analytical Solutions to Differential Equations.
CoRR
Hongsup Oh, Roman Amici, Geoffrey F. Bomarito, Shandian Zhe, Robert M. Kirby, Jacob D. Hochhalter
2022 J jnl
Automated Learning of Interpretable Models with Quantified Uncertainty.
CoRR
Geoffrey F. Bomarito, Patrick E. Leser, N. C. M. Strauss, K. M. Garbrecht, Jacob D. Hochhalter
2022 — conf
Bayesian model selection for reducing bloat and overfitting in genetic programming for symbolic regression.
GECCO Companion
Geoffrey F. Bomarito, Patrick E. Leser, N. C. M. Strauss, K. M. Garbrecht, Jacob D. Hochhalter
2022 — conf
Bingo: a customizable framework for symbolic regression with genetic programming.
GECCO Companion
David L. Randall, Tyler S. Townsend, Jacob D. Hochhalter, Geoffrey F. Bomarito
2022 J jnl
On the optimization of approximate control variates with parametrically defined estimators.
J. Comput. Phys.
Geoffrey F. Bomarito, Patrick E. Leser, James E. Warner, William P. Leser
2020 J jnl
Inverse Estimation of Elastic Modulus Using Physics-Informed Generative Adversarial Networks.
CoRR
James E. Warner, Julian Cuevas, Geoffrey F. Bomarito, Patrick E. Leser, William P. Leser