Nathan Haut

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Symbolic Regression

Biomedical Data

Grammatical Evolution

Top Venues

GECCO Companion

Publications

Yuri Lavinas, Nathan Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc
Data Sampling via Active Learning in Cartesian Genetic Programming for Biomedical Data. CEC (2024)
Illya Bakurov, Nathan Haut, Wolfgang Banzhaf
Sharpness-Aware Minimization in Genetic Programming. CoRR (2024)
Nathan Haut, Wolfgang Banzhaf, Bill Punch, Dirk Colbry
Accelerating Image Analysis Research with Active Learning Techniques in Genetic Programming. GPTP (2023)
Nathan Haut, Bill Punch, Wolfgang Banzhaf
Active Learning Informs Symbolic Regression Model Development in Genetic Programming. GECCO Companion (2023)
Nathan Haut, Wolfgang Banzhaf, Bill Punch
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression. CoRR (2023)
Nathan Haut, Wolfgang Banzhaf, Bill Punch
Correlation Versus RMSE Loss Functions in Symbolic Regression Tasks. GPTP (2022)
Nathan Haut, Wolfgang Banzhaf, Bill Punch
Active learning improves performance on symbolic regression tasks in StackGP. GECCO Companion (2022)
Nathan Haut, Wolfgang Banzhaf, Bill Punch
Active Learning Improves Performance on Symbolic RegressionTasks in StackGP. CoRR (2022)
Nathan Haut, Wolfgang Banzhaf, Bill Punch
Correlation versus RMSE Loss Functions in Symbolic Regression Tasks. CoRR (2022)
Mark E. Kotanchek, Nathan Haut
Back to the Future - Revisiting OrdinalGP and Trustable Models After a Decade. GPTP (2021)