Geoffrey F. Bomarito

13 papers Journal 9Unranked 4

Year	Rank	Type	Title / 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