Nathan Haut

18 papers B 1Journal 8Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
EvoIQA - Explaining Image Distortions with Evolved White-Box Logic.
CoRR
Ruchika Gupta, Illya Bakurov, Nathan Haut, Wolfgang Banzhaf
2026 J jnl
GPU-Accelerated Genetic Programming for Symbolic Regression with Beagle Framework.
CoRR
Nathan Haut, Ilya Basin, Marzieh Kianinejad, Ruchika Gupta, Elijah Smith, Zachary P. Neal, Wolfgang Banzhaf
2025 — conf
A Symbolic Hessian-Based Approach for Assessing Model Complexity in Symbolic Regression.
GECCO Companion
Nathan Haut, Stuart W. Card, Mark E. Kotanchek
2025 J jnl
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression.
IEEE Trans. Evol. Comput.
Nathan Haut, Wolfgang Banzhaf, Bill Punch
2025 — conf
Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models.
GECCO Companion
Nathan Haut, Zenas Huang, Adam Alessio
2025 J jnl
Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models.
CoRR
Nathan Haut, Zenas Huang, Adam Alessio
2025 — conf
Rewarding Model Smoothness and Simplicity via Alternating Objectives in Symbolic Regression.
GECCO Companion
Nathan Haut, Mark E. Kotanchek
2024 — conf
Adaptive Sampling of Biomedical Images with Cartesian Genetic Programming.
PPSN (1)
Yuri Lavinas, Nathan Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc
2024 B conf
Data Sampling via Active Learning in Cartesian Genetic Programming for Biomedical Data.
CEC
Yuri Lavinas, Nathan Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc
2024 J jnl
Sharpness-Aware Minimization in Genetic Programming.
CoRR
Illya Bakurov, Nathan Haut, Wolfgang Banzhaf
2023 — conf
Accelerating Image Analysis Research with Active Learning Techniques in Genetic Programming.
GPTP
Nathan Haut, Wolfgang Banzhaf, Bill Punch, Dirk Colbry
2023 — conf
Active Learning Informs Symbolic Regression Model Development in Genetic Programming.
GECCO Companion
Nathan Haut, Bill Punch, Wolfgang Banzhaf
2023 J jnl
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression.
CoRR
Nathan Haut, Wolfgang Banzhaf, Bill Punch
2022 J jnl
Active Learning Improves Performance on Symbolic RegressionTasks in StackGP.
CoRR
Nathan Haut, Wolfgang Banzhaf, Bill Punch
2022 — conf
Active learning improves performance on symbolic regression tasks in StackGP.
GECCO Companion
Nathan Haut, Wolfgang Banzhaf, Bill Punch
2022 — conf
Correlation Versus RMSE Loss Functions in Symbolic Regression Tasks.
GPTP
Nathan Haut, Wolfgang Banzhaf, Bill Punch
2022 J jnl
Correlation versus RMSE Loss Functions in Symbolic Regression Tasks.
CoRR
Nathan Haut, Wolfgang Banzhaf, Bill Punch
2021 — conf
Back to the Future - Revisiting OrdinalGP and Trustable Models After a Decade.
GPTP
Mark E. Kotanchek, Nathan Haut