Long talks
- On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis
Martin Briesch - Comparison of parent and environmental selection schemes in genetic programming for symbolic regression
Vladimir Stanovov - A Comparative Study on Robustness in Evolved Image Classifiers
Camilo De La Torre, Stéphane Treillard, Camille Franchet, Herve Luga, Dennis Wilson and Sylvain Cussat-Blanc - Syntactic Flexibility Enables Compact Solutions in Transformer Semantic GP
Philipp Anthes - Node Preservation and its Effect on Crossover in Cartesian Genetic Programming
Mark Kocherovsky, Illya Bakurov and Wolfgang Banzhaf - New Perspectives on Cartesian Genetic Programming: A Survey
Mark Kocherovsky, Henning Cui, Illya Bakurov, Michael Heider, Roman Kalkreuth and Wolfgang Banzhaf - Semantic Search Trajectory Networks for Understanding Genetic Programming
Josip Hrvatić, Magda Smolić-Ročak, Marko Đurasević and Gabriela Ochoa - A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies
Joy Bhattacharaya, Erik Hemberg and Unamay O’Reilly - Sinking the Bloat in Genetic Programming Using Equality Saturation
Lucas Miranda, Emilio Francesquini, Fabricio de Franca and Matheus Fernandes - Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression
Gorka Silva, Lachlan Stewart, Illya Bakurov, Mauro Castelli, Davide Farinati, Jose Manuel Muñoz Contreras, Leonardo Trujillo and Leonardo Vanneschi - Dynamic Vector and Matrix Memory for Tangled Program Graphs
Ali Naqvi and Stephen Kelly - Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression
Fitria Wulandari Ramlan, Colm O’Riordan and James McDermott
Short talks
- Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured
Giorgia Nadizar, Gloria Pietropolli and Eric Medvet - Multi-tree Genetic Programming with Semantic Complementarity for Feature Construction in Symbolic Regression
Jiayu Zhang, Qi Chen, Bing Xue and Mengjie Zhang - NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators
Davide Farinati, Frederico J.J.B. Santos, Leonardo Vanneschi and Mauro Castelli - Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control
Quentin Vacher, Nicolas Beuve, Mickaël Dardaillon and Karol Desnos - Reducing Computational Overhead in Biomedical Image Segmentation via Active Learning and PCA-Based Diversity Filtering in CGP
Yuri Lavinas, Wolfgang Banzhaf, Sylvain Cussat-Blanc and Nathaniel Haut - Exploring CGP Fitness Landscapes with MCTS
Christina Berghegger, Camilo De La Torre, Sylvain Cussat-Blanc, Yuri Lavinas and David Simoncini - Extended Semantics Operator for Genetic Programming: A Semantic-Density Approach to Improve Model Robustness
Sofia Pereira and Leonardo Vanneschi